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README.md

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These servers aim to demonstrate MCP features and the Typescript and Python SDK.
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- **[AWS KB Retrieval](src/aws-kb-retrieval)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
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- **[AWS KB Retrieval](src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
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- **[Brave Search](src/brave-search)** - Web and local search using Brave's Search API
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- **[EverArt](src/everart)** - AI image generation using various models
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- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
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> **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic.
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- **[MCP Installer](https://github.com/anaisbetts/mcp-installer)** - This server is a server that installs other MCP servers for you.
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- **[NS Travel Information](https://github.com/r-huijts/ns-mcp-server)** - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API.
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- **[Spotify](https://github.com/varunneal/spotify-mcp)** - This MCP allows an LLM to play and use Spotify.
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- **[Inoyu](https://github.com/sergehuber/inoyu-mcp-unomi-server)** - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles
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- **[Snowflake](https://github.com/datawiz168/mcp-snowflake-service)** - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
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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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- **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)** - Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration.
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- **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so)
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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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- **[Twitter](https://github.com/EnesCinr/twitter-mcp)** - Interact with twitter API. Post tweets and search for tweets by query.
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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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## 📚 Resources
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- **[mcp-get](https://mcp-get.com)** - Command line tool for installing and managing MCP servers by **[Michael Latman](https://github.com/michaellatman)**
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- **[mcp-cli](https://github.com/wong2/mcp-cli)** - A CLI inspector for the Model Context Protocol by **[wong2](https://github.com/wong2)**
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- **[r/mcp](https://www.reddit.com/r/mcp)** – A Reddit community dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
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- **[mcp-manager](https://github.com/zueai/mcp-manager)** - Simple Web UI to install and manage MCP servers for Claude Desktop by **[Zue](https://github.com/zueai)**
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## 🚀 Getting Started
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src/filesystem/index.ts

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// Normalize all paths consistently
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function normalizePath(p: string): string {
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return path.normalize(p).toLowerCase();
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return path.normalize(p);
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}
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function expandHome(filepath: string): string {

src/github/schemas.ts

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created_at: z.string(),
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updated_at: z.string(),
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closed_at: z.string().nullable(),
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body: z.string(),
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body: z.string().nullable(),
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});
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// Pull Request related schemas

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