228 boosters for "mcp-server" — open source, verified from GitHub, ready to install
A fully autonomous AI research agent that ingests sources into Google NotebookLM, runs deep web research, synthesizes knowledge through cited Q&A and 9 downloadable artifact types, creates polished content drafts, and optionally publishes to social platforms.
In Memoria is a persistent intelligence infrastructure MCP server that enables AI agents and developers to build codebase-aware applications with semantic search and pattern learning capabilities. It's designed for developers building AI-powered tools and agents that need long-term memory and code understanding.
"description": "Sanity plugin for Claude Code with MCP server, agent skills, agent rules, and slash commands.", "email": "support@sanity.io", "url": "https://www.sanity.io"
Comet MCP Server integrates Perplexity's Comet browser with Claude, enabling agentic web browsing, deep research, and real-time monitoring directly within Claude Code. Developers and researchers benefit from automated, intelligent web interaction capabilities without leaving their AI workflow.
This MCP server enables Claude to read, write, and manage Notion databases and pages directly through the Model Context Protocol. It's ideal for developers and knowledge workers who want to integrate AI-powered automation with their Notion workflows.
BrowserStack's Official MCP Server enables AI assistants to automate browser testing, accessibility checks, and cross-platform quality assurance directly within Claude. Developers using BrowserStack can leverage AI to orchestrate complex testing workflows without leaving their coding environment.
An MCP server that integrates Claude with the Hevy fitness tracking app, enabling AI-powered workout analysis, progress tracking, and fitness insights. Ideal for fitness enthusiasts and developers building AI-assisted health applications.
Agent Operating Guide provides structured instructions for Claude and other AI agents to safely develop and enhance the Raindrop MCP server while maintaining protocol compliance. It benefits developers using AI coding assistants who need consistent, verifiable guidelines for production-ready changes.
"name": "@context-sync/server", "description": "Universal Context layer McP server", "main": "dist/index.js",
"name": "@cyanheads/mcp-ts-core", "version": "0.2.11", "mcpName": "io.github.cyanheads/mcp-ts-core",
The Outline API is not purely RESTful. All endpoints use POST and never GET, PUT, or any other HTTP method.
"name": "matryoshka-rlm", "version": "0.2.17", "description": "Recursive Language Model - Process documents larger than LLM context windows",
"name": "minimax-mcp-js", "version": "0.0.17", "description": "Official MiniMax Model Context Protocol (MCP) JavaScript implementation that provides seamless integration with MiniMax's powerful AI capabilities including image generation, video generation, text-to-speech, and voice cloning APIs.",
Native SQL extensions for GoldenMatch ().
"name": "prism-mcp-server", "mcpName": "io.github.dcostenco/prism-mcp", "description": "The Mind Palace for AI Agents — persistent memory (SQLite/Supabase), behavioral learning & IDE rules sync, multimodal VLM image captioning, pluggable LLM providers (OpenAI/Anthropic/Gemini/Ollama), OpenTelemetry
"name": "webflow-mcp-server", "bin": "dist/index.js", "start": "concurrently \"npm run dev:local\" \"npm run inspector:local\"",
Dinox MCP Server enables Claude to understand images through advanced object detection, localization, and captioning by connecting to the DINO-X vision model. Developers building multimodal AI applications benefit from seamless integration of real-world visual perception into LLM workflows.
"name": "@ticktockbent/charlotte", "description": "Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps", "main": "dist/index.js",
"name": "firefox-devtools-mcp", "description": "Model Context Protocol (MCP) server for Firefox DevTools automation", "author": "Mozilla",
"name": "claude-mermaid", "description": "MCP server for previewing Mermaid diagrams in Claude Code", "name": "Vitalii Elenhaupt",
"name": "@paretools/bazel", "version": "0.16.1", "mcpName": "io.github.Dave-London/pare-bazel",
"name": "@paretools/jvm", "version": "0.16.1", "mcpName": "io.github.Dave-London/pare-jvm",
MCP Server that enables AI agents to analyze and auto-optimize Linux kernel schedulers using eBPF, helping systems engineers improve performance through intelligent workload profiling and optimization strategies.
Process MCP Server enables AI agents to execute system commands with structured output, timeouts, and signal handling across Cursor, Claude, and Copilot. Developers building AI-powered tools and automations benefit from token-efficient command execution with safety controls.
