Learning & Documentation MCP Servers

Docs Service

35

Manages markdown documentation with frontmatter, optimized for AI assistant integration.

Ragdocs

35

Augments AI responses with relevant documentation context through vector search.

Semantic Scholar

35

Provides comprehensive access to academic paper data, author information, and citation networks via the Semantic Scholar API.

BSL Context

33

Provides standardized access to the 1C:Enterprise platform API for AI assistants.

OpenAPI Schema

33

Enables Large Language Models to explore and understand OpenAPI specifications through specialized tools.

MATLAB

33

Enables AI users to execute MATLAB code, generate scripts from natural language, and access documentation directly within conversations.

Mcp-Rtfm

33

Transforms unreadable documentation into an intelligent, searchable knowledge base.

Canvas

32

Manages courses, assignments, enrollments, and grades within Canvas using the Canvas API.

Typescribe

32

Enables LLMs to effectively utilize new and internal APIs by providing real-time, contextual API documentation.

How-To-Create

31

Guides users to set up a basic Model Context Protocol (MCP) server in .NET.

Rtfmbro

31

Provides AI coding agents with always-up-to-date, version-specific package documentation as context.

Jina AI Reader

30

Extracts and formats web content using the Jina AI Reader API for seamless integration with Large Language Models.

HackMD

30

Integrates HackMD note-taking with AI assistants via the Model Context Protocol.

Arxiv Latex

30

Enables LLMs to accurately interpret mathematical expressions in scientific papers by fetching and processing LaTeX source from arXiv.

Gopls Integration

30

Enables AI assistants to leverage Go's Language Server Protocol for advanced Go code analysis.

Platform Context Exporter

30

Exports 1C:Enterprise platform context from help files into multiple formats for LLMs and offers an MCP server for AI assistant integration.

Flutter

29

Provides AI assistants with real-time, up-to-date Flutter and Dart documentation, including comprehensive pub.dev package information.

Discovery

29

Discovers and documents MCP Server capabilities using a command-line interface.

Markdown Downloader

29

Downloads webpages as Markdown files for easy access and integration with AI tools.

Client Example

28

Demonstrates implementation of an MCP client using SwiftUI and the Anthropic API.