# How to integrate Bidsketch MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Bidsketch MCP with Vercel AI SDK v6", "toolkit": "Bidsketch", "toolkit_slug": "bidsketch", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/bidsketch/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/bidsketch/framework/ai-sdk.md", "updated_at": "2026-05-12T10:02:58.253Z" } ``` ## Introduction This guide walks you through connecting Bidsketch to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Bidsketch agent that can add a new client for acme corp, list all proposals for client id 1234, delete the proposal with id 5678 through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Bidsketch account through Composio's Bidsketch MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Bidsketch with - [OpenAI Agents SDK](https://composio.dev/toolkits/bidsketch/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/bidsketch/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/bidsketch/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/bidsketch/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/bidsketch/framework/codex) - [OpenClaw](https://composio.dev/toolkits/bidsketch/framework/openclaw) - [Hermes](https://composio.dev/toolkits/bidsketch/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/bidsketch/framework/cli) - [Google ADK](https://composio.dev/toolkits/bidsketch/framework/google-adk) - [LangChain](https://composio.dev/toolkits/bidsketch/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/bidsketch/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/bidsketch/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/bidsketch/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Bidsketch integration - Using Composio's Tool Router to dynamically load and access Bidsketch tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## What is the Bidsketch MCP server, and what's possible with it? The Bidsketch MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bidsketch account. It provides structured and secure access to your proposals and client data, so your agent can perform actions like creating clients, managing proposals, organizing sections, and handling fees on your behalf. - Client creation and management: Easily have your agent add new clients to Bidsketch or retrieve detailed client information by ID. - Proposal organization and cleanup: Direct your agent to list, delete, or manage proposals for specific clients, streamlining your workflow and keeping things tidy. - Section and fee management: Let your agent add or remove proposal sections and fees, ensuring each proposal is perfectly structured before sending. - Webhook and automation controls: Remove webhooks or automate repetitive admin tasks to keep your Bidsketch account running smoothly with minimal manual effort. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `BIDSKETCH_CREATE_CLIENT` | Create Client | Tool to create a client. Use when adding a new client record to Bidsketch. | | `BIDSKETCH_CREATE_PROPOSAL` | Create Proposal | Tool to create a new proposal. Use when you need to create a proposal for a client with a name, description, and other details. | | `BIDSKETCH_DELETE_CLIENT` | Delete Client | Tool to delete a client and all their proposals. Use when you want to permanently remove a client and its associated proposals from your account. | | `BIDSKETCH_DELETE_FEE` | Delete Fee | Tool to delete a fee. Use when a saved fee is no longer needed. Use after confirming this fee isn't referenced in any live proposals. | | `BIDSKETCH_DELETE_PROPOSAL` | Delete Proposal | Tool to delete a proposal and all its content. Use after confirming the proposal ID to prevent accidental deletions. | | `BIDSKETCH_DELETE_PROPOSAL_FEE` | Delete Proposal Fee | Tool to delete a proposal fee. Use when you need to remove an existing fee before finalizing or sending a proposal. | | `BIDSKETCH_DELETE_PROPOSAL_SECTION` | Delete Proposal Section | Tool to delete a proposal section. Use when you need to remove a section from a proposal after verifying its ID. | | `BIDSKETCH_DELETE_SECTION` | Delete Section | Tool to delete a section. Use when you need to permanently remove a saved section after confirming its ID. | | `BIDSKETCH_DELETE_WEBHOOK` | Delete Webhook | Permanently delete a webhook subscription by ID. This removes the webhook and stops all future event notifications to its endpoint. Use this tool when you no longer need to receive events at a specific webhook URL, or when cleaning up test webhooks. Returns HTTP 204 No Content on success, or HTTP 404 if the webhook ID doesn't exist. | | `BIDSKETCH_GET_CLIENT` | Get Client | Tool to get a client by ID. Use when you need detailed client info after obtaining its ID. | | `BIDSKETCH_GET_CLIENT_PROPOSALS` | Get Client Proposals | Tool to list proposals for a specific client. Use after confirming the client ID exists. | | `BIDSKETCH_GET_CLIENTS` | Get Clients | Tool to retrieve all clients. Use when you need to list all clients on the account. | | `BIDSKETCH_GET_FEE` | Get Fee | Tool to get a single fee. Use when you need detailed information about a fee by its ID after confirming its existence. | | `BIDSKETCH_GET_FEES` | Get Fees | Tool to list all the fees for the account. Use when you need to fetch every saved fee. | | `BIDSKETCH_GET_PROPOSAL` | Get Proposal | Tool to get a proposal by ID. Use when you need detailed information for a specific proposal after obtaining its ID. | | `BIDSKETCH_GET_PROPOSAL_CONTENT` | Get Proposal Content | Tool to get a proposal with all its content (sections and fees). Use when you need a full proposal in one call. | | `BIDSKETCH_GET_PROPOSAL_FEE` | Get Proposal Fee | Tool to get a single fee item for a proposal. Use when you need detailed information about a specific fee before updating or displaying it. | | `BIDSKETCH_GET_PROPOSAL_FEES` | Get Proposal Fees | Tool to list all fees for a proposal. Use after confirming the proposal ID exists; supports pagination. | | `BIDSKETCH_GET_PROPOSALS` | Get Proposals | Tool to retrieve all proposals for the account. Use when you need an overview of existing proposals. | | `BIDSKETCH_GET_PROPOSAL_SECTION` | Get Proposal Section | Tool to fetch a single proposal section. Use when you need detailed information for a section after listing proposal sections. | | `BIDSKETCH_GET_PROPOSAL_SECTIONS` | Get Proposal Sections | Tool to get all sections for a proposal. Use when you need to list opening or closing sections by proposal ID. | | `BIDSKETCH_GET_PROPOSAL_STATS` | Get Proposal Stats | Get proposal statistics for your Bidsketch account. This endpoint retrieves the total count of proposals in your account, including all proposals regardless of their status (draft, sent, won, lost, or archived). Use this when you need to: - Get a quick overview of total proposal count - Track the number of proposals created over time - Display proposal statistics in dashboards or reports No parameters required - simply call this action to get the current proposal count. | | `BIDSKETCH_GET_SECTION` | Get Section | Tool to fetch a section by ID. Use when you need detailed section information after confirming its ID. | | `BIDSKETCH_GET_SECTIONS` | Get Sections | Retrieves all reusable proposal sections saved to your Bidsketch account. Sections are text blocks that can be included in proposals, categorized as 'opening' (appear at the start) or 'closing' (appear at the end). Use this to browse available sections before adding them to proposals. | | `BIDSKETCH_GET_TEMPLATES` | Get Templates | Retrieves all proposal templates saved in the account. Templates contain predefined sections, fees, and structure that can be used to create new proposals. Use this action to discover available templates before creating proposals or to display template options to users. | | `BIDSKETCH_LIST_PROPOSAL_CLOSING_SECTIONS` | List Proposal Closing Sections | Tool to get a collection of closing sections for a proposal. Closing sections appear at the end of the proposal. Use when you need to retrieve all closing sections for a specific proposal. | | `BIDSKETCH_LIST_PROPOSAL_OPENING_SECTIONS` | List Proposal Opening Sections | Tool to get a collection of opening sections for a proposal. Opening sections appear first in the proposal. Use when you need to retrieve all opening sections for a specific proposal. | | `BIDSKETCH_POST_FEE` | Create Fee | Tool to create a fee. Use when you need to add a reusable fee to the account before adding it to a proposal. Ensure required fields are set (e.g., unit for custom fees). | | `BIDSKETCH_POST_PROPOSAL_FEE` | Create Proposal Fee | Tool to create a proposal fee. Use after confirming the proposal exists to add a cost line item; require unit when feetype is custom. | | `BIDSKETCH_POST_PROPOSAL_SECTION` | Create Proposal Section | Tool to create a proposal section. Use after confirming a proposal exists to add a new opening or closing section. | | `BIDSKETCH_POST_SECTION` | Create Section | Tool to create a section. Use when you need to add a new section to your account before including it in proposals. | | `BIDSKETCH_POST_WEBHOOK` | Create Webhook | Create a webhook subscription in Bidsketch to receive real-time notifications when specific events occur. Webhooks enable your application to receive immediate notifications when events happen in Bidsketch, such as when clients are created or proposals are sent, viewed, accepted, or declined. Your webhook endpoint must be publicly accessible and respond with HTTP 200 OK to webhook POST requests. Bidsketch will retry failed deliveries up to 20 times. Common use cases: - Sync client data to your CRM when a new client is created - Trigger workflows when proposals are sent or viewed - Update project management tools when proposals are accepted - Send notifications to your team when proposals are declined | | `BIDSKETCH_PUT_CLIENT` | Update Client | Tool to update a client. Use when you need to modify existing client records with new data. | | `BIDSKETCH_PUT_FEE` | Update Fee | Tool to update a fee. Use when you need to modify existing fee records with new data after verifying current values. | | `BIDSKETCH_PUT_PROPOSAL` | Update Proposal | Tool to update a specific proposal's details. Use after retrieving a proposal to apply changes. | | `BIDSKETCH_PUT_PROPOSAL_FEE` | Update Proposal Fee | Tool to update a proposal fee. Use when modifying specific properties of an existing fee within a proposal after verifying its existence. | | `BIDSKETCH_PUT_PROPOSAL_SECTION` | Update Proposal Section | Tool to update a proposal section. Use when you need to modify the name or content of an existing section after verifying its existence. | | `BIDSKETCH_PUT_SECTION` | Update Section | Tool to update a section. Use when you need to modify an existing section after confirming its ID. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Bidsketch MCP server is an implementation of the Model Context Protocol that connects your AI agent to Bidsketch. It provides structured and secure access so your agent can perform Bidsketch operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Bidsketch tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Bidsketch-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["bidsketch"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Bidsketch tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to bidsketch, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Bidsketch tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["bidsketch"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to bidsketch, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Bidsketch agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Bidsketch MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/bidsketch/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/bidsketch/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/bidsketch/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/bidsketch/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/bidsketch/framework/codex) - [OpenClaw](https://composio.dev/toolkits/bidsketch/framework/openclaw) - [Hermes](https://composio.dev/toolkits/bidsketch/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/bidsketch/framework/cli) - [Google ADK](https://composio.dev/toolkits/bidsketch/framework/google-adk) - [LangChain](https://composio.dev/toolkits/bidsketch/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/bidsketch/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/bidsketch/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/bidsketch/framework/crew-ai) ## Related Toolkits - [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools. - [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations. - [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates. - [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations. - [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code. - [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding. - [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls. - [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources. - [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates. - [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows. - [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment. - [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality. - [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster. - [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment. - [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support. - [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach. - [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback. - [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Bidsketch MCP? With a standalone Bidsketch MCP server, the agents and LLMs can only access a fixed set of Bidsketch tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Bidsketch and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Bidsketch tools. ### Can I manage the permissions and scopes for Bidsketch while using Tool Router? Yes, absolutely. You can configure which Bidsketch scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Bidsketch data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)