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# Model Context Protocol servers
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This repository is a collection of _reference implementations_ for the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP), as well as references
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This repository is a collection of *reference implementations* for the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP), as well as references
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to community built servers and additional resources.
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The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
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- **[Pandoc](https://github.com/vivekVells/mcp-pandoc)** - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, and plain text, with other formats like PDF, csv and docx in development.
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- **[Pinecone](https://github.com/sirmews/mcp-pinecone)** - MCP server for searching and uploading records to Pinecone. Allows for simple RAG features, leveraging Pinecone's Inference API.
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- **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright
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**[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests.
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- **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests.
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- **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's RAG Web Browser Actor to perform web searches, scrape URLs, and return content in Markdown.
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- **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
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- **[Salesforce MCP](https://github.com/smn2gnt/MCP-Salesforce)** - Interact with Salesforce Data and Metadata
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These are high-level frameworks that make it easier to build MCP servers.
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- [EasyMCP](https://github.com/zcaceres/easy-mcp/) (TypeScript)
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- [FastMCP](https://github.com/punkpeye/fastmcp) (TypeScript)
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- * [EasyMCP](https://github.com/zcaceres/easy-mcp/) (TypeScript)
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- * [FastMCP](https://github.com/punkpeye/fastmcp) (TypeScript)
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## 📚 Resources
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## 🚀 Getting Started
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### Using MCP Servers in this Repository
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Typescript-based servers in this repository can be used directly with `npx`.
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For example, this will start the [Memory](src/memory) server:
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```sh
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npx -y @modelcontextprotocol/server-memory
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```
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Follow [these](https://docs.astral.sh/uv/getting-started/installation/) instructions to install `uv` / `uvx` and [these](https://pip.pypa.io/en/stable/installation/) to install `pip`.
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### Using an MCP Client
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However, running a server on its own isn't very useful, and should instead be configured into an MCP client. For example, here's the Claude Desktop configuration to use the above server:
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```json
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"mcpServers": {
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"filesystem": {
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"command": "npx",
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"args": [
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"-y",
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"@modelcontextprotocol/server-filesystem",
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"/path/to/allowed/files"
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]
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"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"]
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},
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"git": {
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"command": "uvx",
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},
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"postgres": {
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"command": "npx",
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"args": [
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"-y",
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"@modelcontextprotocol/server-postgres",
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"postgresql://localhost/mydb"
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]
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"args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]
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}
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}
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}

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