mcp s

This MCP repository is a collection of reference MCP server implementations and examples showing how Large Language Models can securely access tools and data through the MCP framework. The readme highlights several example servers (Everything, Fetch, Filesystem, Git, Memory, Sequential Thinking, Time) that illustrate common patterns for tool access, prompt orchestration, and resource interaction. To run a server from this collection, choose a specific reference server, follow its installation steps, and start it using the provided command configuration. The tools demonstrated include web content fetching, secure file operations, repository inspection and manipulation, memory/storage for context, and time-zone conversions, among others. Each server is designed to work with the MCP SDKs across languages, enabling LLMs to call tools in a controlled, auditable manner.

If you are using this repository as a basis for deployment, locate the server you intend to run (for example, a server demonstrating file access or web content fetching), and use the mcp_config entry for that server to start it. The configuration here maps a server name to a command and arguments so you can start the server in your environment. You can then integrate this MCP server with your agent or orchestrator, and use the MCP protocol to request tool executions and data lookups from the LLM.

Note: This particular entry represents the overall repository of reference servers rather than a single standalone server. Adapt the command and path to the specific server you wish to run in your environment.

Prerequisites:

• Node.js and npm (if running a Node-based server)
• Git (to clone the repository)
• Basic familiarity with your environment (Linux/macOS or Windows with WSL)

Steps:

1. Clone the repository:

git clone https://github.com/modelcontextprotocol/servers-repo.git
cd servers-repo

2. Install dependencies (for Node-based servers in this repo):

npm install

3. Locate the specific MCP server you want to run (e.g., under src/). Follow the server-specific README or the example configuration to ensure any required environment variables are set.
4. Start the server using the command defined in mcp_config for that server. For the provided example, you can run:

node src/index.js

5. Confirm the server is listening on the expected port and can be reached by your MCP client or orchestrator.

If you are using a different runtime (Python, Docker, etc.), install the corresponding runtime and follow similar steps to install dependencies and start the server using the configuration for that server.

Tips and notes:

• The repository contains multiple reference servers; pick the one most aligned with your use case (e.g., Filesystem for secure file operations, Git for repository interactions).
• Environment variables may be required for authentication, API keys, or resource access. Add them under the env section in mcp_config or as your runtime requires.
• Ensure network accessibility between your MCP client/agent and the running server, especially in containerized or cloud environments.
• Review server logs for troubleshooting connectivity issues, permission problems, or missing dependencies.
• If adapting the server for production, implement proper access controls, rate limiting, and auditing for tool invocations.