Obsidian MCP Server
MCP server enabling AI agents to perform natural knowledge discovery and analysis across Obsidian vault
Directory
MCP server enabling AI agents to perform natural knowledge discovery and analysis across Obsidian vault
The definitive resource for Model Control Protocol (MCP) - Opinionated. Curated. Verified.
An mcp server that you can use to store and retrieve ideas, prompt templates, personal preferences to use with you favourite AI tool that supports the…
Production-grade MCP Server for Microsoft SharePoint — give your AI agent (Claude, Cursor, Continue) live access to read, write, and manage SharePoint files…
An MCP server to extend the context of agents. Useful when coding big features or vibe coding and need to store/recall progress, key moments or changes or…
Bridges AI agents with the Akash Network, enabling deployment and management of decentralized applications on blockchain-based cloud computing infrastructure.
Repo-native content governance for AI agents. Extract, review, and deliver UI text, docs, and structured content from Git.
Podcast transcript API — turn any published podcast into clean Markdown with real speaker names. Built for AI agents.
MCP Server for LynxPrompt — browse, search, and manage AI configuration blueprints (AGENTS.md, CLAUDE.md) via MCP
The media memory layer for AI agents and their humans. Track books, movies, music, TV, and anime from any MCP client.
agenticMCPrag is a Model Context Protocol server that implements Retrieval-Augmented Generation (RAG), enabling AI agents to retrieve and generate context from…
A machine-readable directory ("SEO for AIs") where AI products register themselves so AI agents can discover them.
Local-first AI knowledge base and LLM wiki with source-cited pages and MCP access for coding agents.
An MCP server that enforces rules from markdown files for AI agents. This is a zero-tool version that requires an external rules file.
A wrapper for TMDB Browse Wizzy TMDB MCP Server for Claude, Cursor, VS Code, and other AI agents.
Cognitive memory for AI agents — persistent semantic memory with knowledge graph and adaptive recall
Airtight math for AI agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean 4 kernel checks. No LLM inside, no API key.
Hierarchical memory for AI agents. Three-layer (buffer/working/core) with automatic decay, promotion, and semantic search.
Enables AI agents to access and understand package documentation from local or remote repositories.
A shared memory and coordination server for multiple AI coding agents, built on the Model Context Protocol
Live marketing data for AI agents: ad libraries across Meta, Google, LinkedIn and TikTok, social listening, share of voice, audience insights and trends, with…
A minimal MCP server for interacting with Wikipedia. It provides simple tools to search for articles and retrieve full content, making it easy for AI agents to…
Gives coding agents deterministic, read-only documentation handoffs with edit boundaries, ownership, and required checks before repository changes.
Enable AI agents to generate payments, retrieve transaction history, and interact with ifthenpay services through MCP.