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README.md

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@@ -43,6 +43,7 @@ Official integrations are maintained by companies building production ready MCP
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- **[Obsidian Markdown Notes](https://github.com/calclavia/mcp-obsidian)** - Read and search through your Obsidian vault or any directory containing Markdown notes
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- <img height="12" width="12" src="https://e2b.dev/favicon.ico" alt="E2B Logo" /> **[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev)
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- <img height="12" width="12" src="https://exa.ai/images/favicon-32x32.png" alt="Exa Logo" /> **[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
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- <img height="12" width="12" src="https://cdn.simpleicons.org/jetbrains" /> **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs
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- **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
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- <img height="12" width="12" src="https://neo4j.com/favicon.ico" alt="Neo4j Logo" /> **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
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- <img height="12" width="12" src="https://www.tinybird.co/favicon.ico" alt="Tinybird Logo" /> **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
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- **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Integrate with Docker to manage containers, images, volumes, and networks.
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- **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services.
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- **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)** - Interact with [OpenAPI](https://www.openapis.org/) APIs.
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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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- **[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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- **[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/chatmcp/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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- **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)** - A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.
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- **[X (Twitter)](https://github.com/vidhupv/x-mcp)** (by vidhupv) - Create, manage and publish X/Twitter posts directly through Claude chat.
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- **[X (Twitter)](https://github.com/EnesCinr/twitter-mcp)** (by EnesCinr) - 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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- **[XMind](https://github.com/apeyroux/mcp-xmind)** - Read and search through your XMind directory containing XMind files.
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- **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)** - C++ MCP integration for Oat++. Use [Oat++](https://oatpp.io) to build MCP servers.
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- **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server.
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- **[Home Assistant](https://github.com/tevonsb/homeassistant-mcp)** - Interact with [Home Assistant](https://www.home-assistant.io/) including viewing and controlling lights, switches, sensors, and all other Home Assistant entities.
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- **[cognee-mcp](https://github.com/topoteretes/cognee-mcp-server)** - GraphRAG memory server with customizable ingestion, data processing and search
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- **[Airtable](https://github.com/domdomegg/airtable-mcp-server)** - Read and write access to [Airtable](https://airtable.com/) databases, with schema inspection.
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- **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)** - Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more. Built to be extensible.
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- **[Notion](https://github.com/v-3/notion-server)** (by v-3) - Notion MCP integration. Search, Read, Update, and Create pages through Claude chat.
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- **[Notion](https://github.com/suekou/mcp-notion-server)** (by suekou) - Interact with Notion API.
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- **[TMDB](https://github.com/Laksh-star/mcp-server-tmdb)** - This MCP server integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations.
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- **[MongoDB](https://github.com/kiliczsh/mcp-mongo-server)** - A Model Context Protocol Server for MongoDB.
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- **[Airtable](https://github.com/felores/airtable-mcp)** - Airtable Model Context Protocol Server.
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## 📚 Resources
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src/google-maps/README.md

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## Tools
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1. `geocode`
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1. `maps_geocode`
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- Convert address to coordinates
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- Input: `address` (string)
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- Returns: location, formatted_address, place_id
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2. `reverse_geocode`
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2. `maps_reverse_geocode`
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- Convert coordinates to address
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- Inputs:
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- `latitude` (number)
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- `longitude` (number)
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- Returns: formatted_address, place_id, address_components
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3. `search_places`
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3. `maps_search_places`
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- Search for places using text query
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- Inputs:
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- `query` (string)
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- `location` (optional): { latitude: number, longitude: number }
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- `radius` (optional): number (meters, max 50000)
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- Returns: array of places with names, addresses, locations
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4. `get_place_details`
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4. `maps_place_details`
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- Get detailed information about a place
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- Input: `place_id` (string)
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- Returns: name, address, contact info, ratings, reviews, opening hours
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5. `get_distance_matrix`
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5. `maps_distance_matrix`
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- Calculate distances and times between points
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- Inputs:
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- `origins` (string[])
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- `destinations` (string[])
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- `mode` (optional): "driving" | "walking" | "bicycling" | "transit"
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- Returns: distances and durations matrix
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6. `get_elevation`
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6. `maps_elevation`
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- Get elevation data for locations
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- Input: `locations` (array of {latitude, longitude})
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- Returns: elevation data for each point
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7. `get_directions`
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7. `maps_directions`
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- Get directions between points
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- Inputs:
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- `origin` (string)

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