awesome

awesome-mcp is a hub-style MCP server collection intended to host multiple MCP servers and make it easier to discover, compare, and deploy them. Each entry under the MCP Servers section links to an individual MCP server project that provides its own LLM-facing endpoints, tools, and data integrations. To get started, choose a specific server from the list (for example, a browser automation MCP server or a cloud platform integration MCP server) and follow its dedicated README or usage guide. This repository itself functions as a directory and launcher for the individual MCP implementations, enabling you to reference, clone, or run the servers that fit your workflow.

When you run a server from this collection, you can expect standard MCP capabilities such as querying external data sources, invoking tools and browsers, and returning structured outputs to your LLM. Each server typically exposes its own API surface (commands, transports, or endpoints) optimized for its domain (e.g., web automation, cloud management, or data retrieval). Make sure to review the specific server’s invocation details, required environment variables, and any authentication steps described in its README before attempting to run it.

Prerequisites:

• Git and a compatible runtime (as required by the chosen MCP server, e.g., Node.js for JavaScript servers, Python for Python servers).
• Access to the internet to fetch dependencies.

General steps to get started with a server from this collection:

1. Clone the repository or the specific server you want to run: git clone https://github.com/MCPHubCloud/awesome-mcp cd awesome-mcp

2. Read the individual server’s README to identify its dependencies and entry points. If it’s a Node.js server, you’ll typically see instructions like:

   • Ensure Node.js is installed (version X or higher).
   • Run npm install to install dependencies.

3. Install dependencies (example for a Node.js-based server): npm install

4. Start the server using its recommended command (for Node.js servers, often): npm run start or node path/to/server.js

5. Configure any required environment variables as described in the server’s README (e.g., API keys, endpoints, or authentication tokens).

6. Verify the server is running by checking the console output or trying a basic API call as documented by the server.

Tips and common issues:

• Always review the individual server’s README for environment variables and port configuration to avoid startup failures.
• If you encounter port conflicts, reconfigure the server’s listening port as described in its docs.
• Some servers may require specific versions of Node.js or Python; use nvm or pyenv to manage versions if needed.
• When using MCP across multiple servers, ensure consistent transport and authentication methods if you plan to chain tools between servers.
• If you’re deploying locally, consider using a Docker alternative if the server provides a docker image for easier setup and isolation.
• Keep track of the dependencies and security advisories for the MCP servers you deploy, as these projects can evolve quickly.