EasyMCP
A beginner-friendly client for the MCP (Model Context Protocol). Connect to SSE, NPX, and UV servers, and integrate with OpenAI for dynamic tool interactions. Perfect for exploring server connections and chat enhancements.
What is EasyMCP?
EasyMCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to beginner-friendly client for the mcp (model context protocol). connect to sse, npx, and uv servers, and integrate with openai for dynamic tool interactions. perfect for exploring server connections an...
A beginner-friendly client for the MCP (Model Context Protocol). Connect to SSE, NPX, and UV servers, and integrate with OpenAI for dynamic tool interactions. Perfect for exploring server connections and chat enhancements.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A beginner-friendly client for the MCP (Model Context Protoc
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx easymcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use EasyMCP
EasyMCP is a beginner-friendly Python client for the Model Context Protocol that makes it simple to connect to and test MCP servers over SSE, NPX, and UV transports with OpenAI-powered chat integration. It provides a minimal, configuration-driven interface for discovering available tools from any connected MCP server, dynamically exposing them to an AI chat loop, and managing multiple server configurations through a dedicated setup script. Developers learning MCP, building prototypes, or testing new servers use EasyMCP as a lightweight harness to explore what tools a server exposes and interact with them through natural language.
Prerequisites
- Python 3.10+ installed
- Git to clone the repository
- An OpenAI API key (OPENAI_API_KEY) for the AI chat integration
- At least one MCP server to connect to (SSE URL, NPX package, or UV command)
Clone the repository
Clone the EasyMCP repository from GitHub and enter the project directory.
git clone https://github.com/mshojaei77/EasyMCP.git
cd EasyMCPCreate a virtual environment
Create and activate a Python virtual environment to isolate EasyMCP's dependencies.
# macOS/Linux:
python3 -m venv .venv
source .venv/bin/activate
# Windows:
python -m venv .venv
.venv\Scripts\activateInstall dependencies
Install all required packages from the requirements file.
pip install -r requirements.txtConfigure environment variables
Create your .env file from the sample and add your OpenAI API key and any other configuration needed for the MCP servers you want to connect to.
cp .env.sample .env
# Edit .env and set:
# OPENAI_API_KEY=sk-your-openai-api-keyAdd an MCP server configuration
Run the add_server.py script to interactively add an MCP server connection (SSE URL, NPX command, or UV command) to your configuration.
python add_server.pyStart the EasyMCP client
Run main.py to launch the interactive chat loop. EasyMCP will connect to your configured MCP server, discover available tools, and start an AI-powered conversation session.
python main.pyEasyMCP Examples
Client configuration
Example .env configuration for EasyMCP with an OpenAI API key. Server connections are added via add_server.py rather than manual JSON editing.
# .env file
OPENAI_API_KEY=sk-your-openai-api-key-here
# Server configs are stored by add_server.py in a servers.json or similar config filePrompts to try
Example interactions once EasyMCP is running and connected to an MCP server.
- "What tools are available from the connected server?"
- "Read the file Build a Large Language Model.pdf"
- "Use the read_file tool to read 2308.11432v5.pdf"
- "List the available MCP tools and describe what each one does"
- "Connect to the filesystem server and show me what's in my home directory"Troubleshooting EasyMCP
OpenAI API errors or authentication failures when running main.py
Verify OPENAI_API_KEY is set correctly in your .env file and that the key is active. Confirm the .env file is in the root EasyMCP directory (same level as main.py). Check that python-dotenv is installed via requirements.txt.
Cannot connect to an SSE or NPX MCP server
For SSE servers, confirm the server URL is reachable from your machine and the server is running. For NPX servers, ensure Node.js and npx are installed and in your PATH. Re-run add_server.py to update the server configuration if the URL or command changed.
No tools appear after connecting to an MCP server
EasyMCP automatically discovers tools from the connected server at startup. If no tools appear, the server may not be exposing any tools or the connection may have failed silently. Check the terminal output for connection errors and verify the server is functioning correctly by testing it with another MCP client.
Frequently Asked Questions about EasyMCP
What is EasyMCP?
EasyMCP is a Model Context Protocol (MCP) server that beginner-friendly client for the mcp (model context protocol). connect to sse, npx, and uv servers, and integrate with openai for dynamic tool interactions. perfect for exploring server connections and chat enhancements. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install EasyMCP?
Follow the installation instructions on the EasyMCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with EasyMCP?
EasyMCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is EasyMCP free to use?
Yes, EasyMCP is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up EasyMCP in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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