MCP.so
Sign In

MCP Crew AI Server

@adam-paterson

Repository

About MCP Crew AI Server

MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.

#ai#mcp#agents#mcp-server

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-crew-ai": {
      "command": "uvx",
      "args": [
        "mcp-crew-ai",
        "--agents",
        "path/to/agents.yml",
        "--tasks",
        "path/to/tasks.yml"
      ]
    }
  }
}

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is MCP Crew AI Server?

MCP Crew AI Server is a lightweight Python server that runs, manages, and creates CrewAI multi-agent workflows. It uses the Model Context Protocol (MCP) to communicate with LLMs and tools like Claude Desktop or Cursor IDE, enabling orchestration of agentic tasks without custom code.

How to use MCP Crew AI Server?

Install via pip install mcp-crew-ai (or from GitHub or clone). Run with mcp-crew-ai --agents path/to/agents.yml --tasks path/to/tasks.yml or using uvx mcp-crew-ai with the same flags. Additional options include --topic, --process, --verbose, and --variables for YAML templating.

Key features of MCP Crew AI Server

  • Automatically loads agent/task configs from agents.yml and tasks.yml.
  • Supports custom YAML paths via --agents and --tasks command arguments.
  • Runs workflows through the MCP run_workflow tool.
  • Operates locally in STDIO mode for development and testing.
  • Allows variable substitution in YAML files via --variables.
  • Offers sequential or hierarchical process types.

Use cases of MCP Crew AI Server

  • Automating multi-step research and reporting tasks with AI agents.
  • Generating content (e.g., zoo updates) by assigning roles and goals.
  • Running templated workflows from IDEs like Cursor or from Claude Desktop.
  • Rapidly prototyping CrewAI workflows without writing Python code.

FAQ from MCP Crew AI Server

What is the runtime requirement?

Python 3.11+ along with MCP SDK, CrewAI, and PyYAML.

Can I use custom configuration files?

Yes, you specify paths via --agents and --tasks command line options.

How does variable substitution work?

Use --variables with a JSON string or file path; placeholders like {topic} in YAML are replaced at runtime.

Does it support different workflow processes?

Yes, you can choose sequential (default) or hierarchical with the --process flag.

Is there a default configuration if no files are given?

No; both --agents and --tasks are required when running the server with mcp-crew-ai. The uvx mcp-crew-ai-server command uses defaults from environment variables.

Frequently asked questions

What is the runtime requirement?

Python 3.11+ along with MCP SDK, CrewAI, and PyYAML.

Can I use custom configuration files?

Yes, you specify paths via `--agents` and `--tasks` command line options.

How does variable substitution work?

Use `--variables` with a JSON string or file path; placeholders like `{topic}` in YAML are replaced at runtime.

Does it support different workflow processes?

Yes, you can choose `sequential` (default) or `hierarchical` with the `--process` flag.

Is there a default configuration if no files are given?

No; both `--agents` and `--tasks` are required when running the server with `mcp-crew-ai`. The `uvx mcp-crew-ai-server` command uses defaults from environment variables.

Comments

Basic information

Category

Reasoning

Transports

stdio

Author

adam-paterson

More Reasoning MCP servers

MCP Servers

junfanz1

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent

27

Agentic Radar

splx-ai

A security scanner for your LLM agentic workflows

993

n8n Workflow Builder MCP

ifmelate

MCP server that allow LLM in agent mode builds n8n workflows for you

51

ArduPilot MCP Server Sandbox

hfujikawa77

ArduPilotドローンをAIエージェントから操作するMCPサーバーです。

9

Deno Sandbox MCP Server

bewt85

An MCP server that allows you to run TypeScript, JavaScript, and Python code in a sandbox on your local machine using the Deno® sandbox. This server provides a controlled environment for executing code with explicit permission controls.

13