Latest MCP Servers

Manages AFFiNE workspaces, documents, comments, version history, users, tokens, notifications, and blob storage via a Model Context Protocol server that communicates over stdio.

Provides token‑efficient, structured MCP servers that wrap popular developer tools and return typed JSON for AI coding agents, dramatically reducing token usage while preserving full machine‑readable data.

Manage Spaceship domains, DNS records, contacts, and marketplace listings via natural language through an MCP server.

Provides AI‑powered analysis of images and videos using Google Gemini or Vertex AI, supporting URLs, local files, and base64 inputs, and returning detailed descriptions, comparisons, object detection with annotated output, and video summarization.

Provides a lightweight, embedded graph‑based memory system that stores and recalls contextual information for AI applications without requiring external LLM calls.

Provides Bitcoin and Lightning knowledge tools for AI agents, accessible via pay‑per‑use Lightning (L402) invoicing and a Web of Trust scoring API.

Provides Claude access to Google Drive, Docs, Sheets, Slides, Calendar, Gmail, and Contacts via an MCP server.

Provides an MCP server that keeps .faf project DNA in perpetual sync with CLAUDE.md, delivering zero‑drift AI context for any LLM.

Provides a catalog of reusable agent skills, custom agent templates, and MCP server configurations to extend AI coding agents with Azure SDKs and Microsoft AI Foundry capabilities.

Provides a remote Model Context Protocol service that proxies Sentry's API, enabling AI‑powered development tools to query, search, and act on Sentry data directly from code editors.

Provides interaction with EMQX MQTT brokers, allowing Model Context Protocol clients to list, inspect, disconnect MQTT clients and publish messages to topics with configurable QoS and retention.

Provides instant, AI‑native access to the full text of 47 EU regulations, enabling developers and compliance professionals to query articles, recitals, and definitions directly from Claude, Cursor, or any MCP‑compatible client.

Enables a one‑command setup that configures Claude Code environments, auto‑generates stack‑aware agents, slash commands, enforcement hooks, and integrates MCP servers for any tech stack.

Wrap existing stdio‑based MCP servers to run as AWS Lambda functions, exposing them via HTTPS, API Gateway, Bedrock AgentCore, Lambda function URLs or the Lambda Invoke API.

Provides voice interaction tools for AI agents via the Model Context Protocol, exposing start, listen, speak, and stop capabilities.

Enables AI agents to interact with any blockchain via natural language, providing swaps, bridges, gas estimation, staking, lending, and autonomous crypto payments across Ethereum, Arbitrum, Base, Polygon, BSC, Solana and many testnets.

A TypeScript toolkit for building Model Context Protocol servers with built‑in authentication, multi‑tenancy, payment integration, monitoring, and UI components for ChatGPT apps.

Manage Model Context Protocol (MCP) servers across multiple AI agents through a modern cross‑platform desktop interface, enabling discovery, one‑click installation, configuration, and lifecycle management without manual file edits.

Securely query Google NotebookLM from Claude or other AI agents with enterprise‑grade security, post‑quantum encryption, and integrated Gemini Deep Research capabilities.

Provides intelligent, searchable access to the HoloViz ecosystem, enabling AI assistants and developers to generate, preview, and share interactive Panel visualizations through a Model Context Protocol server.

Enables AI assistants to control Home Assistant devices, query states, execute services, and manage automations using natural language.

Render and preview Mermaid diagrams with live‑reload, multiple export formats, theme support, and an integrated Claude skill for expert diagram guidance.

Run controlled experiments that compare an MCP server‑enabled LLM against a baseline LLM on real software‑engineering tasks such as bug‑fixing, exploit generation, and tool‑selection, producing quantitative performance metrics.

Search and retrieve over 200,000 icons from more than 150 collections, usable via a command‑line interface or as an MCP server for AI coding assistants.

Provides real-time and historical stock market data through MCP endpoints for LLMs and agentic workflows, enabling seamless access to comprehensive financial information.

A CLI‑first knowledge layer that gives AI persistent memory of project context, enabling tasks, linked documentation, and built‑in time tracking while keeping everything version‑controlled in a local .knowns folder.

Provides hot‑reloadable prompt templates with chainable steps, quality gates, and structured reasoning frameworks for Claude and compatible MCP clients.

Enables generation of PlantUML diagrams through a Model Context Protocol (MCP) server, returning embeddable SVG/PNG URLs and optional local file saving.

Automatically format Markdown articles and publish them to WeChat public accounts, supporting theme selection, image upload, and AI integration.

Generate images from text prompts using the Z‑Image‑Turbo model via a command‑line interface, a modern web UI, or an MCP server, with automatic GPU acceleration for NVIDIA CUDA, Apple Silicon MPS, and AMD ROCm.

Command-line interface that enables querying, creating, synchronizing, and managing Tana workspaces, supporting full‑text and semantic search, batch operations, and an MCP server for AI tool integration.

Enables AI assistants to work with documents that exceed their context window by storing content externally, providing search, code execution, evidence tracking, and recursive sub‑agents via an MCP server.