# How to integrate Docsbot ai MCP with Atomic Agent ```json { "title": "How to integrate Docsbot ai MCP with Atomic Agent", "toolkit": "Docsbot ai", "toolkit_slug": "docsbot_ai", "framework": "Atomic Agent", "framework_slug": "atomic-agent", "url": "https://composio.dev/toolkits/docsbot_ai/framework/atomic-agent", "markdown_url": "https://composio.dev/toolkits/docsbot_ai/framework/atomic-agent.md", "updated_at": "2026-08-11T13:08:42.381Z" } ``` ## Introduction Atomic Agent is an open-source AI agent that runs on your machine and supports local models through llama.cpp. Connect it to 1,500+ apps through Composio, including Docsbot ai. This guide uses Atomic Agent's built-in Composio integration. You need Atomic Agent v0.5.6 or later, your own Composio API key, and a Docsbot ai account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions. ## Also integrate Docsbot ai with - [OpenAI Agents SDK](https://composio.dev/toolkits/docsbot_ai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/docsbot_ai/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/docsbot_ai/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/docsbot_ai/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/docsbot_ai/framework/codex) - [OpenClaw](https://composio.dev/toolkits/docsbot_ai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/docsbot_ai/framework/hermes-agent) - [Google ADK](https://composio.dev/toolkits/docsbot_ai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/docsbot_ai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/docsbot_ai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/docsbot_ai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/docsbot_ai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/docsbot_ai/framework/crew-ai) - [Pydantic AI](https://composio.dev/toolkits/docsbot_ai/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/docsbot_ai/framework/autogen) ## TL;DR ### How Atomic Agent connects to Docsbot ai Atomic Agent connects to Composio's Tool Router over Streamable HTTP MCP. It discovers the tools needed for your request, and Composio handles account authentication. Execution and account-connection tools follow Atomic Agent's configured approval policy. Review any approval prompt before allowing an action on your connected account. ## Connect Docsbot ai to Atomic Agent ### Connect Docsbot ai to Atomic Agent - Sign up or sign in to the [Composio dashboard](https://dashboard.composio.dev/?cta_placement=atomic-agent-api-key). Copy your API key. - In Atomic Agent, open the Integrations tab and select Composio. Select API key, press e, paste the key, and press Enter. The tools become available immediately, without a restart. - Ask Atomic Agent to do something in Docsbot ai. It searches Composio for the right tool. - On first use, open the sign-in link returned in the chat. Connect your Docsbot ai account, then return to Atomic Agent to continue. ### Headless setup Add the following line to ~/.atomic-agent/.env, replacing YOUR_COMPOSIO_API_KEY with your key. Start Atomic Agent after saving the file. ```bash COMPOSIO_API_KEY=YOUR_COMPOSIO_API_KEY ``` ## What is the Docsbot ai MCP server, and what's possible with it? The Docsbot ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Docsbot ai account. It provides structured and secure access to your Docsbot ai bots, teams, and conversation data, so your agent can perform actions like creating bots, managing teams, generating support tickets, and analyzing user questions on your behalf. - Custom bot creation and management: Instantly create new Docsbot ai bots or update existing ones, letting your agent provision and configure bots for different documentation needs. - Team administration and overview: Allow your agent to fetch details about your teams or list all teams associated with your account, making it easier to manage collaboration and bot access. - Automated support ticket generation: Easily convert chatbot conversations into structured support tickets, so your agent can help streamline customer support and issue tracking. - Bot question and source analytics: Retrieve lists of questions asked to your bots or review all data sources connected to a given bot, empowering your agent to surface insights or monitor bot effectiveness. - Seamless bot and data cleanup: Direct your agent to delete bots or manage bot sources, helping you keep your Docsbot ai environment tidy and up to date. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DOCSBOT_AI_CAPTURE_CONVERSATION_LEAD` | Capture Conversation Lead | Tool to capture lead information by updating conversation metadata and saving the lead. Works whether or not the conversation has been created yet. | | `DOCSBOT_AI_CREATE_BOT` | Create Bot | Tool to create a new bot within a team. Use when you have a valid team ID and want to provision a new bot. | | `DOCSBOT_AI_CREATE_SOURCE` | Create Bot Source | Tool to create a new source for a bot. Sources can be URLs, files, sitemaps, and other types. Use when you have content to add to a bot's knowledge base. For file-based sources, first upload the file using the Upload File to Cloud Storage action. | | `DOCSBOT_AI_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook subscription for a bot. Use when you want to receive real-time notifications for specific events (lead.created, deep_research.done, conversation.escalated, conversation.rated). The target URL must be publicly accessible and support HTTPS. | | `DOCSBOT_AI_DELETE_BOT` | Delete Bot | Tool to delete a specific bot by its ID. Use after confirming the bot ID is correct to permanently remove a bot from the system. | | `DOCSBOT_AI_DELETE_CONVERSATION` | Delete Conversation | Tool to delete a specific conversation by its ID. Use after confirming the conversation ID is correct to permanently remove a conversation. Requires edit permission. | | `DOCSBOT_AI_DELETE_LEAD` | Delete Lead | Tool to delete a specific lead by ID. Use after confirming the lead ID to permanently remove a lead record from the system. | | `DOCSBOT_AI_DELETE_QUESTION` | Delete Question | Tool to delete a specific question from history. Use after confirming the question ID to permanently remove a question log entry from the system. | | `DOCSBOT_AI_DELETE_SOURCE` | Delete Source | Tool to delete a specific source from a bot by its ID. Use after confirming the source ID is correct to permanently remove a source from the bot's knowledge base. | | `DOCSBOT_AI_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook (unsubscribe) by its ID. Use after confirming the webhook ID is correct to permanently remove a webhook subscription. | | `DOCSBOT_AI_DOCSBOT_CONVERSATION_TICKET_CREATION` | Generate Conversation Ticket | Generates a structured support ticket from a Chat Agent conversation. Use this tool to convert an existing bot conversation into a formatted helpdesk ticket containing a subject line and message body written from the user's perspective. Prerequisites: - Requires a conversation created via the Chat Agent API (not the legacy Chat API) - Requires Standard plan or higher - The conversation must exist and be accessible with the provided credentials | | `DOCSBOT_AI_GET_BOT` | Get Bot Details | Tool to fetch details of a specific bot by ID within a team. Use after confirming valid team and bot IDs. | | `DOCSBOT_AI_GET_BOT_REPORTS` | Get Bot Monthly Reports | Tool to retrieve monthly statistical reports for a bot. Returns question resolution metrics for a selected month. Use this to analyze bot performance and track question resolution trends over time. | | `DOCSBOT_AI_GET_BOT_STATS` | Get Bot Statistics | Tool to retrieve comprehensive statistics and analytics for a bot over a time period or date range. Returns key metrics (resolution rate, deflection rate, time saved), time series data for questions and ratings, distribution data for feedback and escalations, and agent mode conversation analytics. Use after confirming valid team and bot IDs from List Teams and List Bots actions. | | `DOCSBOT_AI_GET_SOURCE` | Get Source Details | Tool to retrieve detailed information about a specific source by its ID. Use when you need complete metadata about a source including indexed URLs, FAQs, and processing status. | | `DOCSBOT_AI_GET_TEAM` | Get Team Details | Tool to fetch details of a specific team by its ID. Use when you need full team info including members and settings after confirming the team ID. | | `DOCSBOT_AI_GET_UPLOAD_URL` | Get Upload URL | Get a presigned upload URL for uploading files as sources. Use this before uploading large files to DocsBot. The workflow is: 1) Get upload URL, 2) Upload file to the URL, 3) Create source with the file path. | | `DOCSBOT_AI_GET_WEBHOOK` | Get Webhook Details | Tool to retrieve details of a specific webhook by ID. Use when you need webhook configuration, delivery status, or subscription details. | | `DOCSBOT_AI_LIST_BOTS` | List Team Bots | List all bots for a given team. Returns detailed information about each bot including configuration, statistics, and status. Use this action to discover available bots before performing operations like getting bot details or listing sources. | | `DOCSBOT_AI_LIST_CONVERSATIONS` | List Bot Conversations | Tool to list conversation history for a bot with pagination. Returns a limited subset of conversation properties including titles, timestamps, sentiment, and status. Use this to discover conversations before retrieving full details. | | `DOCSBOT_AI_LIST_LEADS` | List Bot Leads | Tool to list captured leads for a bot with pagination and date filtering. Use after confirming valid team and bot IDs. Example: "List leads for bot abc123 starting from 2024-01-01." | | `DOCSBOT_AI_LIST_QUESTIONS` | List Questions | Tool to list all questions asked of a specific bot. Use after confirming the bot's identifier. Example: "List questions for bot abc123 with status 'unanswered'." | | `DOCSBOT_AI_LIST_RESEARCH_JOBS` | List Research Jobs | Tool to list all deep research jobs for a bot with pagination support. Use after confirming valid team and bot IDs. Returns details about each research job including status, question, and timestamps. | | `DOCSBOT_AI_LIST_SOURCES` | List Bot Sources | Retrieves a paginated list of all sources for a specific bot within a team. Sources are the content (URLs, files, sitemaps, etc.) that have been indexed for the bot's knowledge base. Use this to see what data sources a bot has been trained on. | | `DOCSBOT_AI_LIST_TEAM_MEMBERS` | List Team Members | Tool to list all members of a team including their roles. Use when you need to see who has access to a team and their permission levels. | | `DOCSBOT_AI_LIST_TEAMS` | List Teams | Tool to list all teams. Use when you need to retrieve every team associated with the authenticated user. | | `DOCSBOT_AI_LIST_WEBHOOKS` | List Bot Webhooks | List all registered webhooks for a bot. Returns webhook configurations including target URLs, subscribed events, and status. Use this action to discover configured webhooks before creating, updating, or deleting them. | | `DOCSBOT_AI_RATE_ANSWER` | Rate Answer | Tool to rate an answer from chat APIs as positive (1), neutral (0), or negative (-1). Use when recording user feedback on bot responses for statistics shown in chat logs. | | `DOCSBOT_AI_REFRESH_SOURCE` | Refresh Source | Tool to refresh a source to re-index its content. Use when a source needs to be updated with the latest content from its origin. Only works with failed sources for retry purposes. | | `DOCSBOT_AI_SEARCH_SEMANTIC` | Semantic Search Bot Content | Tool to perform semantic search on a bot's indexed content. Returns the most relevant source chunks for a query. Use when you need to search the bot's knowledge base without triggering a full conversation. | | `DOCSBOT_AI_TEST_ESCALATED_WEBHOOK` | Test Escalated Webhook | Tool to trigger a test delivery of the conversation.escalated webhook. Use to verify webhook configuration is working correctly. | | `DOCSBOT_AI_TEST_LEAD_WEBHOOK` | Test Lead Webhook | Tool to trigger a test lead webhook delivery. Use when you need to test webhook integration for lead capture events. Requires owner or admin permissions. | | `DOCSBOT_AI_TEST_RESEARCH_WEBHOOK` | Test Research Webhook | Tool to trigger a deep research webhook delivery test. Use to verify webhook configurations are working correctly. | | `DOCSBOT_AI_TRIGGER_RATED_WEBHOOK_TEST` | Trigger Rated Webhook Test | Tool to trigger a conversation.rated webhook delivery test for a specific bot. Use when you need to test webhook integration for conversation rating events. | | `DOCSBOT_AI_UPDATE_BOT` | Update Bot | Update a bot's configuration settings such as name, description, model, temperature, and appearance. Only fields provided in the request will be modified; omitted fields remain unchanged. Requires valid team_id and bot_id. Use LIST_BOTS to find available bot IDs first. | | `DOCSBOT_AI_UPDATE_TEAM` | Update Team | Tool to update specific fields for a team. Use after confirming the team ID when you need to change the team's name or OpenAI API key. Returns the updated team record. | | `DOCSBOT_AI_UPDATE_WEBHOOK` | Update Webhook | Tool to update a webhook's status, target URL, label, or expiration date. Use when you need to modify webhook configuration. Requires valid team_id, bot_id, and webhook_id. Only provided fields will be updated. | | `DOCSBOT_AI_UPLOAD_FILE_TO_CLOUD_STORAGE` | Upload File to Cloud Storage | Upload a file to cloud storage via a presigned URL. Use this tool after obtaining a presigned upload URL from the DocsBot API (GET /teams/:teamId/bots/:botId/upload-url?fileName=FILENAME). The workflow is: 1. Get presigned URL from DocsBot upload-url endpoint 2. Use this tool to upload the file to the presigned URL 3. Create a source using the 'file' path returned from step 1 | ## Supported Triggers None listed. ## Troubleshooting ### Why is my API key rejected? Copy the key directly from the Composio dashboard. Atomic Agent requires ASCII characters because it sends the key in an HTTP header. Remove any extra characters introduced when copying. ### Why are Composio tools unavailable after saving a key? Check that you use Atomic Agent v0.5.6 or later and that Composio is enabled in your configuration. A "composio": { "enabled": false } setting disables the integration while keeping the saved key on disk. ### Does Composio have a free plan? The Hobby plan includes 100,000 tool calls per month. Composio-managed OAuth apps have a lower included allowance. See [Composio pricing](/pricing) for the current limits that apply to your connection. ## Complete Code None listed. ## Conclusion ### Use Docsbot ai from Atomic Agent With your account connected, ask Atomic Agent to work with Docsbot ai in natural language. You can connect more apps through the same Composio integration as you need them. Visit the [Atomic Agent website](https://atomicagent.io/?cta_placement=atomic-agent-site) or inspect the [Atomic Agent source code](https://github.com/AtomicBot-ai/atomic-agent?cta_placement=atomic-agent-repo). ## How to build Docsbot ai MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/docsbot_ai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/docsbot_ai/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/docsbot_ai/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/docsbot_ai/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/docsbot_ai/framework/codex) - [OpenClaw](https://composio.dev/toolkits/docsbot_ai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/docsbot_ai/framework/hermes-agent) - [Google ADK](https://composio.dev/toolkits/docsbot_ai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/docsbot_ai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/docsbot_ai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/docsbot_ai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/docsbot_ai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/docsbot_ai/framework/crew-ai) - [Pydantic AI](https://composio.dev/toolkits/docsbot_ai/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/docsbot_ai/framework/autogen) ## 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. - [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates. - [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. 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It accelerates lead response and improves conversion rates by automating calls and integrating workflows. - [Crisp](https://composio.dev/toolkits/crisp) - Crisp is a customer messaging platform for live chat, contacts, helpdesk, and campaigns. It helps support teams manage customer conversations from one shared workspace. - [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. - [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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Docsbot ai MCP? With a standalone Docsbot ai MCP server, the agents and LLMs can only access a fixed set of Docsbot ai tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Docsbot ai and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Atomic Agent? Yes, you can. Atomic Agent 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 Docsbot ai tools. ### Can I manage the permissions and scopes for Docsbot ai while using Tool Router? Yes, absolutely. You can configure which Docsbot ai 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 Docsbot ai data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)