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maintenanceA Model Context Protocol server that enables Claude to interact with Telegram channels and groups through both direct API access and web scraping methods.
15
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32
MIT
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"How to get information about Telegram channels" matching MCP servers:
- Alicense-qualityCmaintenanceEnables hybrid search over Telegram community message history, combining full-text and semantic search with incremental sync for Claude Desktop integration.2MIT
- AlicenseAqualityCmaintenanceConverts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.327Apache 2.0
- AlicenseAqualityCmaintenanceA local MCP server that enables full-text and semantic search over your own Telegram chats using your personal MTProto login, with everything running locally.7MIT
- AlicenseAqualityBmaintenanceEnables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.4MIT
- AlicenseDqualityCmaintenanceA tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.38047MIT
- Alicense-qualityCmaintenanceEnables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.1MIT
- Flicense-qualityDmaintenanceA Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.17
- Flicense-qualityDmaintenanceAn MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
- AlicenseBqualityDmaintenanceIntegrates with Get笔记 (GetBiji) API to enable AI-powered knowledge base search and retrieval. Provides tools for enhanced semantic search, raw content recall, and rate limit monitoring.3112MIT
- AlicenseCqualityCmaintenanceEnables Claude Desktop and other AI tools to interact directly with Figma, allowing for powerful AI-assisted design capabilities through natural language commands.92581648MIT
- Flicense-qualityBmaintenanceTranslates plain English questions about infrastructure operations into SQL queries, executes them against a database, and returns the real answer.
- Flicense-qualityBmaintenanceAutomatically converts OpenAPI/Swagger documents into MCP servers, enabling AI agents to call third-party REST APIs via the MCP protocol.
- Flicense-qualityCmaintenanceMCP server enabling natural-language querying of SQLite databases via schema discovery, GraphRAG retrieval, and safely guarded read-only SQL execution.
- Flicense-qualityCmaintenanceExposes any SQLite database as read-only MCP tools for AI assistants, enabling listing tables, describing schemas, and running SELECT queries with filtering, ordering, and pagination.
- AlicenseDqualityCmaintenanceA lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.12MIT
- Alicense-qualityDmaintenanceGoogle Chat MCP Sever (Extendable to Teams,Slack.)24PythonMIT
- Alicense-qualityBmaintenanceEnables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.MIT
- Flicense-qualityCmaintenanceBuilds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.
- Flicense-qualityCmaintenanceEnables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.