How to integrate Btcpay server MCP with CrewAI

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Introduction

This guide walks you through connecting Btcpay server to CrewAI using the Composio tool router. By the end, you'll have a working Btcpay server agent that can create a new bitcoin payment request for my store, list all payment requests for store abc123, register a webhook for payment notifications, revoke an api key that's no longer needed through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Btcpay server account through Composio's Btcpay server MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Btcpay server connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Btcpay server
  • Build a conversational loop where your agent can execute Btcpay server operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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

The Btcpay server MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Btcpay server account. It provides structured and secure access to your Bitcoin payment infrastructure, so your agent can perform actions like creating payment requests, managing stores, handling API keys, and automating webhooks on your behalf.

  • Automated payment request creation: Instruct your agent to generate new payment requests for your stores, making it simple to accept Bitcoin payments from customers without manual setup.
  • Store management and provisioning: Let your agent create, configure, or remove stores in your Btcpay server environment to support multiple business units or projects.
  • API key administration: Ask your agent to list, retrieve, or revoke API keys, streamlining secure access control for developers and integrations.
  • Webhook registration for event automation: Enable your agent to register webhooks, so you can receive instant notifications or trigger workflows when key payment or store events occur.
  • User and payout management: Have the agent create new server users programmatically or delete store payouts that are no longer needed, giving you granular control over your payment operations.

Supported Tools & Triggers

Tools
Create Payment RequestTool to create a new payment request for a store.
Create StoreTool to create a new store in btcpay server.
Create BTCPay Server UserTool to create a new btcpay server user.
Register a WebhookTool to register a new webhook.
Delete API KeyTool to revoke a specific api key.
Delete Payment RequestTool to delete a specific payment request.
Delete Store PayoutTool to delete a specific payout from a store.
Get API KeyTool to retrieve the current api key.
List API KeysTool to list api keys.
Get Payment RequestsTool to list all payment requests for a specific store.
Get BTCPay Server InfoTool to retrieve information about the btcpay server instance.
Get StoreTool to retrieve information about a specific store.
Get BTCPay Server UserTool to retrieve information about a specific user.
Get Store WebhookTool to retrieve details of a specific webhook.
List Store WebhooksTool to list all webhooks registered for a store.
List AppsTool to list all apps associated with a specific store.
Update BTCPay Server UserTool to update current user information.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Btcpay server connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

bash
pip install composio crewai crewai-tools python-dotenv
What's happening:
  • composio connects your agent to Btcpay server via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools includes MCP helpers
  • python-dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional import if you plan to adapt tools
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Btcpay server MCP URL

Create a Composio Tool Router session for Btcpay server

python
composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
session = composio.create(
    user_id=os.getenv("USER_ID"),
    toolkits=["btcpay_server"],
)
url = session.mcp.url
What's happening:
  • You create a Btcpay server only session through Composio
  • Composio returns an MCP HTTP URL that exposes Btcpay server tools

Configure the LLM

python
llm = LLM(
    model="gpt-5-mini",
    api_key=os.getenv("OPENAI_API_KEY"),
)
What's happening:
  • CrewAI will call this LLM for planning and responses
  • You can swap in a different model if needed

Attach the MCP server and create the agent

python
toolkit_agent = Agent(
    role="Btcpay server Assistant",
    goal="Help users interact with Btcpay server through natural language commands",
    backstory=(
        "You are an expert assistant with access to Btcpay server tools. "
        "You can perform various Btcpay server operations on behalf of the user."
    ),
    mcps=[
        MCPServerHTTP(
            url=url,
            streamable=True,
            cache_tools_list=True,
            headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
        ),
    ],
    llm=llm,
    verbose=True,
    max_iter=10,
)
What's happening:
  • MCPServerHTTP connects the agent to the Btcpay server MCP endpoint
  • cache_tools_list saves a tools catalog for faster subsequent runs
  • verbose helps you see what the agent is doing

Add a REPL loop with Task and Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to perform Btcpay server operations.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Based on the conversation history:\n{conversation_context}\n\n"
            f"Current user request: {user_input}\n\n"
            f"Please help the user with their Btcpay server related request."
        ),
        expected_output="A helpful response addressing the user's request",
        agent=toolkit_agent,
    )

    crew = Crew(
        agents=[toolkit_agent],
        tasks=[task],
        verbose=False,
    )

    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's happening:
  • You build a simple chat loop and keep a running context
  • Each user turn becomes a Task handled by the same agent
  • Crew executes the task and returns a response

Run the application

python
if __name__ == "__main__":
    main()
What's happening:
  • Standard Python entry point so you can run python crewai_btcpay_server_agent.py

Complete Code

Here's the complete code to get you started with Btcpay server and CrewAI:

python
# file: crewai_btcpay_server_agent.py
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()

def main():
    # Initialize Composio and create a Btcpay server session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["btcpay_server"],
    )
    url = session.mcp.url

    # Configure LLM
    llm = LLM(
        model="gpt-5-mini",
        api_key=os.getenv("OPENAI_API_KEY"),
    )

    # Create Btcpay server assistant agent
    toolkit_agent = Agent(
        role="Btcpay server Assistant",
        goal="Help users interact with Btcpay server through natural language commands",
        backstory=(
            "You are an expert assistant with access to Btcpay server tools. "
            "You can perform various Btcpay server operations on behalf of the user."
        ),
        mcps=[
            MCPServerHTTP(
                url=url,
                streamable=True,
                cache_tools_list=True,
                headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
            ),
        ],
        llm=llm,
        verbose=True,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Try asking the agent to perform Btcpay server operations.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Based on the conversation history:\n{conversation_context}\n\n"
                f"Current user request: {user_input}\n\n"
                f"Please help the user with their Btcpay server related request."
            ),
            expected_output="A helpful response addressing the user's request",
            agent=toolkit_agent,
        )

        crew = Crew(
            agents=[toolkit_agent],
            tasks=[task],
            verbose=False,
        )

        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

if __name__ == "__main__":
    main()

Conclusion

You now have a CrewAI agent connected to Btcpay server through Composio's Tool Router. The agent can perform Btcpay server operations through natural language commands. Next steps:
  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations

How to build Btcpay server MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Btcpay server MCP?

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

Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI 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 Btcpay server tools.

Can I manage the permissions and scopes for Btcpay server while using Tool Router?

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

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