WebSocket & MCP Server for Obsidian - Direct API access to Obsidian for AI clients via Model Context Protocol

VS Code extension that helps you manage MCP (Model Context Protocol) servers using YAML configuration files.

OpenSource Model Context Protocol (MCP) Server ecosystem for comprehensive agentic AI access to Google Workspace

A Model Context Protocol (MCP) server that provides useful developer tools for local development.

An MCP (Model Context Protocol) server that enables LLMs to create and manipulate 3D models using OpenSCAD.

Local MCP (Model Context Protocol) server for safe, structured Python env management.

This manual is specifically designed for AI engineers who want to master MCP and build powerful, standardized connections between AI systems and external tools.

Model Context Protocol

Model Context Protocol

model context protocol

Lightweight, configurable runtime exposing LLM-accessible tools via uv, Claude Desktop, and GitHub automation.

Remote tool server enabling universal compatibility with Claude Desktop and LangChain via Server-Sent Events.

model_context_protocol

Tổng quan về Model Context Protocol (MCP)

Letter of map change tooling for analysis, centralized lomc access, summaries, and tie-in checks efficiently.

Python-based coordination of model contexts enabling structured exchange, synchronization, and secure, scalable context management across agents.

Bridge between LLMs and LOLBAS API enabling local binary queries via MCP.

Fast in-memory full-text search with gitignore-aware indexing, tool discovery, and file content retrieval.

Modular calendar-driven time tracking with automated event classification, holiday handling, and conflict-aware time entry.

Rapid adoption with standardized tool interfaces empowering autonomous agents to plan, reason, and act across services.

Generates cloud architecture blueprints and ready-to-run code snippets with AI-assisted design, IaC automation, and modular components.

Token-aware document access delivering relevant sections within a token budget, using Bloom filters and caching to outperform naive retrieval.

Manages tasks in a todo.txt file with local or WebDAV syncing; Docker-ready and inspector-testable.

Delivers a practical AWS Lambda-based extension framework with TypeScript tooling and a straightforward extension model for context-aware workflows.