"Telegram MCP Server by DLHellMe" matching MCP servers:

Scrapes the official Telegram Bot API documentation and provides tools for querying methods, types, fields, and relationships.

Enables AI agents to search, retrieve, and manage official Telegram documentation, helping them implement accurate Telegram features and verify API capabilities.

Enables searching, inspecting, and calling Telegram Bot API methods via five stable MCP tools, with automatic schema updates from official documentation.

MCP server for token-efficient access to Open Finance Brasil rules, enabling coding agents to search and retrieve specific regulations, OpenAPI specs, and business rules through progressive disclosure.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

MCP server for the hy-app component library, enabling AI editors to search components, retrieve APIs and examples, check platform support, access hooks and tools, and validate component usage.

Access any documentation indexed by RagRabbit Open Source AI site search

Enables AI clients to browse, read, update, and search a document store through tools, resources, and prompts, including summarizing and comparing documents via URI-addressable resources and reusable prompt templates.

Serves a single resource (project_info.md) as text/markdown over MCP HTTP transport, for use by MCP-aware clients like Claude Desktop.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

A read-only reference server for 303 curated generative art algorithms implemented in Python (py5), spanning physics, fractals, cellular automata, shaders, and more. Agents can search by keyword, visual mood (ethereal, chaotic, crystalline…), or multi-layer artistic intent to discover algorithms, read structured summaries, and fetch bounded source snippets.

An MCP server that lets AI agents search and read documentation built with Verso, Lean's documentation authoring tool, by providing tools like search and fetch_page over configured documentation sites.

Enables AI assistants to query API documentation from Eolink Apikit instances via the Eolink Open API, supporting listing projects, groups, searching APIs by keyword/path, and retrieving detailed API definitions.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Address Markdown and GEML documents by block instead of by line: list, get, set, add, delete, rename, revert, find and check one block, with every write re-parsed and refused if it would brea

Reads the Small Print record: what MCP servers, agent skills and plugins tell an AI agent, hashed every version and diffed between releases, each change graded by a printed rule, with public advisories joined by version. Three read-only tools; nothing is executed.

Provides a documentation search MCP tool (search_docs) that enables AI agents to retrieve relevant chunks from BDC documentation using semantic embeddings and keyword search, with filtering by document type and date.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.

Enables AI assistants to build PayRetailers cross-border payment integrations accurately by providing official documentation, endpoint specs, country-specific payload validation, webhook guidance, and integration prompts as MCP resources, tools, and prompts.

Provides AI assistants with direct access to Jamf official documentation, enabling them to answer Jamf-related questions by searching, retrieving articles, and browsing product documentation.