Learning & Documentation Servidores MCP

Obsidian

Enables LLMs to interact with and manage Obsidian vaults through the Model Context Protocol.

Hypermodel Docs

Enhances AI coding agents by providing them with continuously updated and contextually relevant documentation to improve their performance.

ViemCP

Provides a fast and flexible Model Context Protocol server for integrating Viem and Wagmi, and parsing onchain data.

Model Context Provider

Provides a server for managing model context during development and learning.

Zotero

Integrates with Zotero, enabling AI applications to access and manipulate Zotero libraries.

Raindrop.io

Integrates Raindrop.io bookmarks with Large Language Models using the Model Context Protocol.

Pysearch

Provides a high-performance, context-aware search engine for Python codebases supporting text, regex, AST, and semantic search.

Coding

Enables AI code assistants to generate up-to-date code by checking the latest library documentation.

eRegulations

Provides structured, AI-friendly access to eRegulations API data for querying administrative procedures.

Learn

Integrates a specialized math server with LangChain, enabling advanced computational capabilities for AI applications.

Letter Counter

Counts letter occurrences within a given word, designed for use with LLMs.

Youtube Transcript

Retrieves transcripts from YouTube videos, providing direct access to captions and subtitles.

Simple Server Setup

Demonstrates calculator operations via Server-Sent Events (SSE) and Standard Input/Output (STDIO) client-server communication modes.

Stock Information Server

Demonstrates a basic MCP server implemented in C# for retrieving Taiwan stock information.

Mcps Playground

Experiment with Anthropic's Claude and the Model Context Protocol (MCP) through an interactive web interface.

AgenticRAG

Provides agentic retrieval-augmented generation capabilities for intelligent codebase processing via the Model Context Protocol (MCP).

Github

Documents the setup and configuration process for a GitHub Model Context Protocol (MCP) server.

OpenSVM Zig

Enhances AI capabilities by providing Zig language tooling, code analysis, and documentation access.

Practera

Enables AI models to query and analyze Practera learning data through a GraphQL API.

OpenLibrary

Provides access to the OpenLibrary API for searching books via both FastAPI and Model Context Protocol (MCP) servers.