Files
crewAI/docs/en/mcp/multiple-servers.mdx
Tony Kipkemboi 1a1bb0ca3d docs: Docs updates (#3459)
* docs(cli): document device-code login and config reset guidance; renumber sections

* docs(cli): fix duplicate numbering (renumber Login/API Keys/Configuration sections)

* docs: Fix webhook documentation to include meta dict in all webhook payloads

- Add note explaining that meta objects from kickoff requests are included in all webhook payloads
- Update webhook examples to show proper payload structure including meta field
- Fix webhook examples to match actual API implementation
- Apply changes to English, Korean, and Portuguese documentation

Resolves the documentation gap where meta dict passing to webhooks was not documented despite being implemented in the API.

* WIP: CrewAI docs theme, changelog, GEO, localization

* docs(cli): fix merge markers; ensure mode: "wide"; convert ASCII tables to Markdown (en/pt-BR/ko)

* docs: add group icons across locales; split Automation/Integrations; update tools overviews and links
2025-09-05 17:40:11 -04:00

66 lines
2.5 KiB
Plaintext

---
title: Connecting to Multiple MCP Servers
description: Learn how to use MCPServerAdapter in CrewAI to connect to multiple MCP servers simultaneously and aggregate their tools.
icon: layer-group
mode: "wide"
---
## Overview
`MCPServerAdapter` in `crewai-tools` allows you to connect to multiple MCP servers concurrently. This is useful when your agents need to access tools distributed across different services or environments. The adapter aggregates tools from all specified servers, making them available to your CrewAI agents.
## Configuration
To connect to multiple servers, you provide a list of server parameter dictionaries to `MCPServerAdapter`. Each dictionary in the list should define the parameters for one MCP server.
Supported transport types for each server in the list include `stdio`, `sse`, and `streamable-http`.
```python
from crewai import Agent, Task, Crew, Process
from crewai_tools import MCPServerAdapter
from mcp import StdioServerParameters # Needed for Stdio example
# Define parameters for multiple MCP servers
server_params_list = [
# 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},
)
]
try:
with MCPServerAdapter(server_params_list) as aggregated_tools:
print(f"Available aggregated tools: {[tool.name for tool in aggregated_tools]}")
multi_server_agent = Agent(
role="Versatile Assistant",
goal="Utilize tools from local Stdio, remote SSE, and remote HTTP MCP servers.",
backstory="An AI agent capable of leveraging a diverse set of tools from multiple sources.",
tools=aggregated_tools, # All tools are available here
verbose=True,
)
... # Your other agent, tasks, and crew code here
except Exception as e:
print(f"Error connecting to or using multiple MCP servers (Managed): {e}")
print("Ensure all MCP servers are running and accessible with correct configurations.")
```
## Connection Management
When using the context manager (`with` statement), `MCPServerAdapter` handles the lifecycle (start and stop) of all connections to the configured MCP servers. This simplifies resource management and ensures that all connections are properly closed when the context is exited.