Merge pull request #1485 from jhomen368/add-overseerr-mcp

Add overseerr-mcp server
This commit is contained in:
Frank Fiegel
2025-12-05 07:21:52 -06:00
committed by GitHub

View File

@@ -1031,6 +1031,7 @@ Tools for conducting research, surveys, interviews, and data collection.
- [nkapila6/mcp-local-rag](https://github.com/nkapila6/mcp-local-rag) 🏠 🐍 - "primitive" RAG-like web search model context protocol (MCP) server that runs locally. No APIs needed.
- [nyxn-ai/NyxDocs](https://github.com/nyxn-ai/NyxDocs) 🐍 ☁️ 🏠 - Specialized MCP server for cryptocurrency project documentation management with multi-blockchain support (Ethereum, BSC, Polygon, Solana).
- [OctagonAI/octagon-deep-research-mcp](https://github.com/OctagonAI/octagon-deep-research-mcp) 🎖️ 📇 ☁️ 🏠 - Lightning-Fast, High-Accuracy Deep Research Agent
- [jhomen368/overseerr-mcp](https://github.com/jhomen368/overseerr-mcp) 📇 ☁️ 🏠 - Integrate AI assistants with Overseerr for automated media discovery, requests, and management in Plex ecosystems.
- [olostep/olostep-mcp-server](https://github.com/olostep/olostep-mcp-server) 📇 ☁️ - API to search, extract and structure web data. Web scraping, AI-powered answers with citations, batch processing (10k URLs), and autonomous site crawling.
- [parallel-web/search-mcp](https://github.com/parallel-web/search-mcp) ☁️ 🔎 - Highest Accuracy Web Search for AI
- [parallel-web/task-mcp](https://github.com/parallel-web/task-mcp) ☁️ 🔎 - Highest Accuracy Deep Research and Batch Tasks MCP
@@ -1039,7 +1040,7 @@ Tools for conducting research, surveys, interviews, and data collection.
- [r-huijts/opentk-mcp](https://github.com/r-huijts/opentk-mcp) 📇 ☁️ - Access Dutch Parliament (Tweede Kamer) information including documents, debates, activities, and legislative cases through structured search capabilities (based on opentk project by Bert Hubert)
- [reading-plus-ai/mcp-server-deep-research](https://github.com/reading-plus-ai/mcp-server-deep-research) 📇 ☁️ - MCP server providing OpenAI/Perplexity-like autonomous deep research, structured query elaboration, and concise reporting.
- [ricocf/mcp-wolframalpha](https://github.com/ricocf/mcp-wolframalpha) 🐍 🏠 ☁️ - An MCP server lets AI assistants use the Wolfram Alpha API for real-time access to computational knowledge and data.
- [sascharo/gxtract](https://github.com/sascharo/gxtract) 🐍 ☁️ 🪟 🐧 🍎 - GXtract is a MCP server designed to integrate with VS Code and other compatible editors (documentation: [sascharo.github.io/gxtract](https://sascharo.github.io/gxtract)). It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment.
- [sascharo/gxtract](https://github.com/sascharo/gxtract) 🐍 ☁️ 🪟 🐧 🍎 - GXtract is a MCP server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment.
- [scrapeless-ai/scrapeless-mcp-server](https://github.com/scrapeless-ai/scrapeless-mcp-server) 🐍 ☁️ - The Scrapeless Model Context Protocol service acts as an MCP server connector to the Google SERP API, enabling web search within the MCP ecosystem without leaving it.
- [searchcraft-inc/searchcraft-mcp-server](https://github.com/searchcraft-inc/searchcraft-mcp-server) 🎖️ 📇 ☁️ - Official MCP server for managing Searchcraft clusters, creating a search index, generating an index dynamically given a data file and for easily importing data into a search index given a feed or local json file.
- [SecretiveShell/MCP-searxng](https://github.com/SecretiveShell/MCP-searxng) 🐍 🏠 - An MCP Server to connect to searXNG instances