Latest MCP Servers

Provides local, privacy‑preserving indexing and semantic search across code repositories, research papers, and HuggingFace datasets for AI agents.

Provides local‑first access to user‑authorized Google Health API v4 data—including Fitbit and Pixel Watch—through OAuth, exposing the data to AI agents via MCP without transmitting tokens.

Retrieves Bilibili video subtitles, transcripts, metadata, chapters, popular comments and provides search capabilities for AI agents.

Provides a curated collection of production‑ready Claude Code plugins that extend functionality with custom commands, agents, hooks, and MCP servers.

Provides full Simplenote note management via MCP, allowing Claude Desktop and other MCP clients to read, create, update, delete, search, and optionally encrypt notes on the fly.

Enables AI‑driven development of 3D games that run directly in WebGPU‑capable browsers, built on Godot 4.7.1 with a checksum‑locked patch series, MCP server, and asset pipelines.

Provides a bidirectional AI‑native design engineering platform that turns Figma files or live websites into a compact semantic design graph for code generation, design creation, and verification loops, enabling agents to work without REST rate limits or token quotas.

Enables Claude, Cursor, and other MCP‑compatible applications to generate images, videos, audio, text‑to‑speech, and 3‑D models through PiAPI’s extensive media creation models.

Provides a curated list of Model Context Protocol servers together with ready‑to‑use configuration files, enabling AI assistants to interact with development tools, cloud services, databases, and many other resources.

Provides real‑time tennis scores, player data, fixtures, odds and model win‑probability to LLM agents through a Model Context Protocol (MCP) server.

Enables adversary emulation for AI agents, LLM applications, and MCP servers, letting teams test their AI systems against realistic attack scenarios.

Provides a local‑first graph‑backed memory engine for AI agents, persisting decisions, reasons, and contradictions across sessions without relying on external APIs.

Extracts text, subtitles, metadata, videos, covers, images, and public comments from Douyin, Xiaohongshu, Bilibili and YouTube, with optional GetNote and Volcengine cloud ASR for transcription.

Provides high‑performance desktop control for Windows, macOS, and Linux via a Rust NAPI module, exposing screenshot, mouse, keyboard, clipboard, app and window management tools through the Model Context Protocol.

An automated, self‑updating repository that harvests, scores, and stores AI‑related resources, exposing a queryable knowledge graph and an HTTP gateway for agents to inject contextual information without manual curation.

Provides on‑device persistent memory for AI coding agents, enabling retrieval‑augmented generation, context surfacing, and decision tracking without cloud services or API keys.

Provides CLI tools for Jira issue management, worklogs, sprints, boards, and wiki markup via AI agent skills, supporting both Server/DC and Cloud deployments.

Provides comprehensive integration with the Sauce Labs testing platform, enabling AI assistants to manage devices, test jobs, builds, storage, and tunnels through natural‑language conversations.

Provides a markdown‑native, git‑backed knowledge graph that serves as a durable memory and handoff layer for AI agents via a seven‑verb MCP interface.

Provides a CLI and MCP server that enables agents to reverse‑engineer applications down to the binary level, decompile code, understand feature behavior, and recreate implementations for new projects.

Enables AI agents to read, search, edit, fill forms, and generate HWPX documents directly via a Model Context Protocol server, running on pure Python across Windows, macOS, and Linux without requiring Hancom Word Processor.

Provides an AI‑driven OSINT workflow that lets users query a natural‑language REPL, CLI, web UI, or MCP server, automatically selecting and chaining 18 reconnaissance tools to collect, pivot, verify, and report public‑source intelligence.

Create keyframe animations from hand‑drawn Excalidraw diagrams, add timeline editing, camera moves, sequence reveals, and export to MP4, WebM, GIF, or animated SVG, with an MCP server that enables AI‑driven real‑time scene creation and live preview.

Enables AI assistants to control and query local web browsers through an MCP server paired with a companion browser extension.

Transforms database schemas into governed semantic models, enabling AI agents to generate correct SQL and provide a full receipt for every answer, while keeping all data and credentials local and private.

Automates KiCad schematic capture, PCB layout, ERC/DRC checks, DFM analysis, BOM generation, and manufacturing export through AI agents by exposing a Model Context Protocol server.

An all‑in‑one agent harness for Claude Code that auto‑discovers agents, skills, and MCP tools at runtime and routes tasks to the most suitable specialist without requiring configuration files or boilerplate code.

Provides a Model Context Protocol server that bridges AI tools with a PythonAnywhere account, enabling programmatic management of files, web apps, and scheduled tasks while maintaining fine‑grained control and auditability.

Provides a self‑hosted Model Context Protocol server that connects to SAS Viya, exposing over 40 analytics lifecycle tools via HTTP, stdio, or container deployment.

Provides AI‑powered architectural decision analysis, ADR generation and management, and smart code linking for AI assistants and development teams.

A single MCP gateway that lazily exposes downstream tools, eliminating context bloat while supporting on‑demand discovery and dynamic provisioning.