Learning & Documentation MCP 服务器

发现我们为 learning & documentation 精心策划的 MCP 服务器集合。浏览 779 个服务器,找到满足您需求的完美 MCP。

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Textlint

Automate the quality check and proofreading of Japanese natural language text.

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Developer Roadmaps

Provides programmatic access to a comprehensive collection of developer roadmaps and their detailed content.

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Bibliomantic

Integrates I Ching divination with AI responses, exploring the bibliomantic approach described in Philip K. Dick’s The Man in the High Castle.

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Poke

Provides detailed Pokémon information, including stats, abilities, moves, and evolution chains, by integrating with the PokeAPI.

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Memory Bank

Streamlines software development projects by providing structured workflow tools across various complexity levels and phases.

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Celestial

Calculate positions, rise/set times, and details for celestial objects using astronomical data.

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Nylas API

Facilitates learning and integration with the Nylas API by providing documentation, code samples, and interactive tools.

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Diagram as Code

Validates and assists in authoring Mermaid.js diagrams for MCP clients by addressing common syntax issues.

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Kickstart

Provides an interactive tutorial to learn Model Context Protocol (MCP) development.

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Art Institute of Chicago

Enables AI models to interact with the Art Institute of Chicago Collection through natural language, making artworks available as a Resource.

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SSE Server Sample

Provides a basic example of a Server-Sent Events (SSE) server implementation for the Model Context Protocol (MCP).

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Seta

Powers an Model Context Protocol (MCP) server with documentation sourced from a local file system.

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WikiJS

Integrates Wiki.js instances with the Model Context Protocol, enabling large language models like Claude to interact with documentation.

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TKU

Connects TronClass to Claude AI, enabling direct interaction through the Model Context Protocol (MCP).

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DevStandards

Provides a queryable collection of software development standards and best practices for AI agents.

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Rag Based

Enables document question answering by ingesting and querying PDF documents using the GroundX API.

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Multi-Agent Debate

Facilitates structured multi-agent debates between different AI personas.

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Pdf Processor

Processes PDF documents, extracts text, and recognizes LaTeX equations for use with AI models.

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Hackage Documentation

Enables AI assistants to retrieve Haskell documentation from Hackage for improved Haskell programming assistance.

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Better Fetch

Intelligently fetches and processes web content, transforming documentation sites and web resources into structured markdown files.

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