# How to integrate Boldsign MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Boldsign MCP with OpenAI Agents SDK",
  "toolkit": "Boldsign",
  "toolkit_slug": "boldsign",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/boldsign/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/boldsign/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:03:25.712Z"
}
```

## Introduction

This guide walks you through connecting Boldsign to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Boldsign agent that can send a contract to client for signature, list all documents awaiting your signature, download signed agreement from this week through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Boldsign account through Composio's Boldsign MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Boldsign with

- [Claude Agent SDK](https://composio.dev/toolkits/boldsign/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/boldsign/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/boldsign/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/boldsign/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/boldsign/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/boldsign/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/boldsign/framework/cli)
- [Google ADK](https://composio.dev/toolkits/boldsign/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/boldsign/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/boldsign/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/boldsign/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/boldsign/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/boldsign/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Boldsign
- Configure an AI agent that can use Boldsign as a tool
- Run a live chat session where you can ask the agent to perform Boldsign operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Boldsign MCP server, and what's possible with it?

The Boldsign MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Boldsign account. It provides structured and secure access to your eSignature workflows, so your agent can help create, manage, and automate digital signing processes for your documents, contracts, and forms.
- Seamless document sending and signature requests: Enable your agent to prepare documents and initiate signature requests, ensuring fast and compliant eSigning experiences for your clients or team members.
- Automated contract management: Let your agent track the status of sent documents, follow up on pending signatures, and manage completed agreements all in one place.
- Secure workflow automation: Allow your agent to integrate eSignature steps into broader business processes, reducing manual intervention and boosting efficiency.
- Real-time status monitoring: Have your agent monitor and report on document progress, so you always know who has signed and who still needs to take action.
- Centralized record keeping: Ensure your signed documents are stored and organized for easy retrieval, compliance, and auditing, all via your agent.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BOLDSIGN_BRAND_GET` | Get Brand Details | Tool to get brand details by brand ID. Use after obtaining the brand identifier. |
| `BOLDSIGN_BRAND_LIST` | List Brands | Tool to list all brands in the account. Use after confirming account is authenticated. |
| `BOLDSIGN_CUSTOM_FIELD_CREATE` | Create Custom Field | Tool to create a brand-scoped custom field. Use when you need to define and register a new custom field for a specific brand. |
| `BOLDSIGN_CUSTOM_FIELD_EDIT` | Edit Custom Field | Tool to edit an existing custom field. Use when you need to update a custom field's properties after creation. |
| `BOLDSIGN_DOCUMENT_BEHALF_LIST` | List Behalf Documents | Tool to list documents sent on behalf of users. Use when fetching and filtering documents you've sent or on behalf of others. |
| `BOLDSIGN_DOCUMENT_EDIT_BETA` | Edit Document (Beta) | Tool to edit a draft or sent document. Use when updating files, recipients, or document settings before finalizing the document. |
| `BOLDSIGN_DOCUMENT_EXTEND_EXPIRY` | Extend Document Expiry | Tool to extend a document's expiry date. Use before signing to prolong a document's deadline. |
| `BOLDSIGN_DOCUMENT_LIST` | List Documents | Tool to list documents in My Documents with filters. Use when you need to fetch and filter documents based on various criteria. |
| `BOLDSIGN_DOCUMENT_REMOVE_AUTHENTICATION` | Remove Document Authentication | Tool to remove authentication from a document. Use when you need to disable signer authentication on an existing document before the signing process. |
| `BOLDSIGN_DOCUMENT_SEND` | Send Document | Tool to send a document for eSignature. Use when you need to deliver documents to recipients for signing. |
| `BOLDSIGN_DOCUMENT_TEAM_LIST` | List Team Documents | Tool to list team documents. Use when a team or account admin needs to retrieve all team documents with optional filters. |
| `BOLDSIGN_EMBEDDED_REQUEST_CREATE_LINK` | Create Embedded Request Link | Tool to create an embedded request link. Use after specifying title and signers to generate an embeddable URL for in-app document preparation and sending. |
| `BOLDSIGN_FILE_UPLOAD` | Upload File (Helper) | Helper action to upload a file to R2 temp via the Composio file pipeline, returning a key that can be passed to FileUploadable fields in other actions (e.g., BrandLogo in brand create). |
| `BOLDSIGN_PLAN_GET_API_CREDITS_COUNT` | Get API Credits Count | Tool to get remaining BoldSign API credits count. Use after authenticating your BoldSign account. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Boldsign MCP server is an implementation of the Model Context Protocol that connects your AI agent to Boldsign. It provides structured and secure access so your agent can perform Boldsign 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 starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Boldsign project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Boldsign.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only boldsign.
- The router checks the user's Boldsign connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Boldsign.
- This approach keeps things lightweight and lets the agent request Boldsign tools only when needed during the conversation.
```python
# Create a Boldsign Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["boldsign"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Boldsign
const session = await composio.create(userId as string, {
  toolkits: ['boldsign'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Boldsign. "
        "Help users perform Boldsign operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Boldsign. Help users perform Boldsign operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["boldsign"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Boldsign. "
        "Help users perform Boldsign operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['boldsign'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Boldsign. Help users perform Boldsign operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Boldsign MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Boldsign.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Boldsign MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/boldsign/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/boldsign/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/boldsign/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/boldsign/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/boldsign/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/boldsign/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/boldsign/framework/cli)
- [Google ADK](https://composio.dev/toolkits/boldsign/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/boldsign/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/boldsign/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/boldsign/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/boldsign/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/boldsign/framework/crew-ai)

## Related Toolkits

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- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.
- [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.
- [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training.
- [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses.
- [Aryn](https://composio.dev/toolkits/aryn) - Aryn is an AI-powered platform for parsing, extracting, and analyzing data from unstructured documents. Use it to automate document processing and unlock actionable insights from your files.
- [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price.
- [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere.
- [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code.
- [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more.
- [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place.
- [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work.
- [Cloudpress](https://composio.dev/toolkits/cloudpress) - Cloudpress is a content export tool for Google Docs and Notion. It automates publishing to your favorite Content Management Systems.
- [Contentful graphql](https://composio.dev/toolkits/contentful_graphql) - Contentful graphql is a content delivery API that lets you access Contentful data using GraphQL queries. It gives you efficient, flexible ways to fetch and manage structured content for any digital project.
- [Conversion tools](https://composio.dev/toolkits/conversion_tools) - Conversion Tools is an online service for converting documents between formats such as PDF, Word, Excel, XML, and CSV. It lets you automate complex document workflows with just a few clicks.
- [Convertapi](https://composio.dev/toolkits/convertapi) - ConvertAPI is a robust file conversion service for documents, images, and spreadsheets. It streamlines programmatic format changes and lets developers automate complex workflows with a single API.
- [Craftmypdf](https://composio.dev/toolkits/craftmypdf) - CraftMyPDF is a web-based service for designing and generating PDFs with templates and live data. It streamlines document creation by automating personalized PDFs at scale.
- [Docmosis](https://composio.dev/toolkits/docmosis) - Docmosis generates PDF and Word documents from user-defined templates. It's perfect for merging data fields to quickly produce reports, invoices, and business letters.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Boldsign MCP?

With a standalone Boldsign MCP server, the agents and LLMs can only access a fixed set of Boldsign tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Boldsign and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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 Boldsign tools.

### Can I manage the permissions and scopes for Boldsign while using Tool Router?

Yes, absolutely. You can configure which Boldsign 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 Boldsign data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)