---
title: 'MCP Servers as Tools in CrewAI'
description: 'Learn how to integrate MCP servers as tools in your CrewAI agents using the `crewai-tools` library.'
icon: plug
---
## Overview
The [Model Context Protocol](https://modelcontextprotocol.io/introduction) (MCP) provides a standardized way for AI agents to provide context to LLMs by communicating with external services, known as MCP Servers.
The `crewai-tools` library extends CrewAI's capabilities by allowing you to seamlessly integrate tools from these MCP servers into your agents.
This gives your crews access to a vast ecosystem of functionalities.
We currently support the following transport mechanisms:
- **Stdio**: for local servers (communication via standard input/output between processes on the same machine)
- **Server-Sent Events (SSE)**: for remote servers (unidirectional, real-time data streaming from server to client over HTTP)
- **Streamable HTTP**: for remote servers (flexible, potentially bi-directional communication over HTTP, often utilizing SSE for server-to-client streams)
## Video Tutorial
Watch this video tutorial for a comprehensive guide on MCP integration with CrewAI:
## Installation
Before you start using MCP with `crewai-tools`, you need to install the `mcp` extra `crewai-tools` dependency with the following command:
```shell
uv pip install 'crewai-tools[mcp]'
```
## Key Concepts & Getting Started
The `MCPServerAdapter` class from `crewai-tools` is the primary way to connect to an MCP server and make its tools available to your CrewAI agents. It supports different transport mechanisms and simplifies connection management.
Using a Python context manager (`with` statement) is the **recommended approach** for `MCPServerAdapter`. It automatically handles starting and stopping the connection to the MCP server.
## Connection Configuration
The `MCPServerAdapter` supports several configuration options to customize the connection behavior:
- **`connect_timeout`** (optional): Maximum time in seconds to wait for establishing a connection to the MCP server. Defaults to 30 seconds if not specified. This is particularly useful for remote servers that may have variable response times.
```python
# Example with custom connection timeout
with MCPServerAdapter(server_params, connect_timeout=60) as tools:
# Connection will timeout after 60 seconds if not established
pass
```
```python
from crewai import Agent
from crewai_tools import MCPServerAdapter
from mcp import StdioServerParameters # For Stdio Server
# Example server_params (choose one based on your server type):
# 1. Stdio Server:
server_params=StdioServerParameters(
command="python3",
args=["servers/your_server.py"],
env={"UV_PYTHON": "3.12", **os.environ},
)
# 2. SSE Server:
server_params = {
"url": "http://localhost:8000/sse",
"transport": "sse"
}
# 3. Streamable HTTP Server:
server_params = {
"url": "http://localhost:8001/mcp",
"transport": "streamable-http"
}
# Example usage (uncomment and adapt once server_params is set):
with MCPServerAdapter(server_params, connect_timeout=60) as mcp_tools:
print(f"Available tools: {[tool.name for tool in mcp_tools]}")
my_agent = Agent(
role="MCP Tool User",
goal="Utilize tools from an MCP server.",
backstory="I can connect to MCP servers and use their tools.",
tools=mcp_tools, # Pass the loaded tools to your agent
reasoning=True,
verbose=True
)
# ... rest of your crew setup ...
```
This general pattern shows how to integrate tools. For specific examples tailored to each transport, refer to the detailed guides below.
## Filtering Tools
There are two ways to filter tools:
1. Accessing a specific tool using dictionary-style indexing.
2. Pass a list of tool names to the `MCPServerAdapter` constructor.
### Accessing a specific tool using dictionary-style indexing.
```python
with MCPServerAdapter(server_params, connect_timeout=60) as mcp_tools:
print(f"Available tools: {[tool.name for tool in mcp_tools]}")
my_agent = Agent(
role="MCP Tool User",
goal="Utilize tools from an MCP server.",
backstory="I can connect to MCP servers and use their tools.",
tools=[mcp_tools["tool_name"]], # Pass the loaded tools to your agent
reasoning=True,
verbose=True
)
# ... rest of your crew setup ...
```
### Pass a list of tool names to the `MCPServerAdapter` constructor.
```python
with MCPServerAdapter(server_params, "tool_name", connect_timeout=60) as mcp_tools:
print(f"Available tools: {[tool.name for tool in mcp_tools]}")
my_agent = Agent(
role="MCP Tool User",
goal="Utilize tools from an MCP server.",
backstory="I can connect to MCP servers and use their tools.",
tools=mcp_tools, # Pass the loaded tools to your agent
reasoning=True,
verbose=True
)
# ... rest of your crew setup ...
```
## Using with CrewBase
To use MCPServer tools within a CrewBase class, use the `mcp_tools` method. Server configurations should be provided via the mcp_server_params attribute. You can pass either a single configuration or a list of multiple server configurations.
```python
@CrewBase
class CrewWithMCP:
# ... define your agents and tasks config file ...
mcp_server_params = [
# Streamable HTTP Server
{
"url": "http://localhost:8001/mcp",
"transport": "streamable-http"
},
# SSE Server
{
"url": "http://localhost:8000/sse",
"transport": "sse"
},
# StdIO Server
StdioServerParameters(
command="python3",
args=["servers/your_stdio_server.py"],
env={"UV_PYTHON": "3.12", **os.environ},
)
]
@agent
def your_agent(self):
return Agent(config=self.agents_config["your_agent"], tools=self.get_mcp_tools()) # get all available tools
# ... rest of your crew setup ...
```
You can filter which tools are available to your agent by passing a list of tool names to the `get_mcp_tools` method.
```python
@agent
def another_agent(self):
return Agent(
config=self.agents_config["your_agent"],
tools=self.get_mcp_tools("tool_1", "tool_2") # get specific tools
)
```
## Explore MCP Integrations
Connect to local MCP servers via standard input/output. Ideal for scripts and local executables.
Integrate with remote MCP servers using Server-Sent Events for real-time data streaming.
Utilize flexible Streamable HTTP for robust communication with remote MCP servers.
Aggregate tools from several MCP servers simultaneously using a single adapter.
Review important security best practices for MCP integration to keep your agents safe.
Checkout this repository for full demos and examples of MCP integration with CrewAI! 👇
CrewAI MCP Demo
## Staying Safe with MCP
Always ensure that you trust an MCP Server before using it.
#### Security Warning: DNS Rebinding Attacks
SSE transports can be vulnerable to DNS rebinding attacks if not properly secured.
To prevent this:
1. **Always validate Origin headers** on incoming SSE connections to ensure they come from expected sources
2. **Avoid binding servers to all network interfaces** (0.0.0.0) when running locally - bind only to localhost (127.0.0.1) instead
3. **Implement proper authentication** for all SSE connections
Without these protections, attackers could use DNS rebinding to interact with local MCP servers from remote websites.
For more details, see the [Anthropic's MCP Transport Security docs](https://modelcontextprotocol.io/docs/concepts/transports#security-considerations).
### Limitations
* **Supported Primitives**: Currently, `MCPServerAdapter` primarily supports adapting MCP `tools`.
Other MCP primitives like `prompts` or `resources` are not directly integrated as CrewAI components through this adapter at this time.
* **Output Handling**: The adapter typically processes the primary text output from an MCP tool (e.g., `.content[0].text`). Complex or multi-modal outputs might require custom handling if not fitting this pattern.