Featured MCP Servers

Delivers real‑time, per‑second infrastructure monitoring with zero‑configuration agents, on‑edge machine‑learning anomaly detection, and built‑in dashboards.

A Model Context Protocol server for Git repository interaction and automation.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Provides up-to-date, version‑specific library documentation and code examples directly inside LLM prompts, eliminating outdated information and hallucinated APIs.

Enables humans, AI agents, and applications to retrieve highly accurate answers across large‑scale data sources, unifying heterogeneous databases, warehouses, and SaaS platforms.

Provides a secure, elastic infrastructure that creates isolated sandboxes for running AI‑generated code with sub‑90 ms startup, unlimited persistence, and OCI/Docker compatibility.

Connects AI tools directly to GitHub, enabling natural‑language interactions for repository browsing, issue and pull‑request management, CI/CD monitoring, code‑security analysis, and team collaboration.

Provides fast, lightweight browser automation using Playwright's accessibility tree, enabling LLMs to interact with web pages through structured snapshots instead of screenshots.

A self‑hosted web application firewall and reverse proxy that protects web applications from attacks and exploits by filtering, monitoring, and blocking malicious HTTP/S traffic.

A self‑hosted, open‑source platform that provides a no‑code builder for creating, versioning, and running AI‑driven automation workflows. Pieces are TypeScript‑based plugins that become MCP servers, allowing direct consumption by large language models.

Automates browser‑based workflows by leveraging large language models and computer‑vision techniques, turning natural‑language prompts into fully functional web interactions without writing custom scripts.

Provides IDE‑like semantic code retrieval and editing tools that turn any LLM into a powerful coding assistant operating directly on your codebase, without being tied to a specific model or interface.

Provides a Model Context Protocol server that enables coding agents to control and inspect a live Chrome browser through Chrome DevTools, supporting reliable automation, deep debugging, and performance analysis.

Enables Claude AI to control Blender for prompt‑assisted 3D modeling, scene creation, and manipulation via a socket‑based Model Context Protocol server.

Create, edit, and render spreadsheets, documents, and presentations on web and server, supporting AI-driven natural language interaction.

An MCP server that streamlines database tool development by handling connection pooling, authentication, observability, and secure access, allowing agents to interact with databases via natural language.

Connect APIs quickly with a free, hosted integration platform that enables event‑driven automations across 1,000+ services and supports custom code in Node.js, Python, Go, or Bash.

Orchestrates Claude Code, Gemini CLI, Codex CLI and a wide range of AI models to provide continuous, context‑rich workflows for code analysis, debugging, planning and pre‑commit validation.

Organizes email inbox, drafts replies in the user's tone, tracks follow‑ups, and provides analytics to achieve inbox zero quickly.

Manages and switches provider configurations and MCP servers for Claude Code and Codex on Windows, macOS, and Linux, supporting custom endpoints, cloud‑synced directories, and rapid configuration import/export.

Provides web scraping, crawling, search, and structured data extraction for LLM clients through a Model Context Protocol server.

Provides an AI‑powered toolkit for instant localization of web and mobile applications using LLMs, supporting build‑time compilation, CLI commands, CI/CD automation, and real‑time SDK translation.

Command line interface for managing, testing, and deploying Firebase projects, offering utilities for hosting, cloud functions, realtime database, Firestore, authentication, extensions, and local emulation.

Enables AI agents to control the Windows operating system, performing file navigation, application launching, UI interaction, QA testing, and other automation tasks through a lightweight server.

Build high-quality data visualization apps quickly using a low-code toolkit that leverages Plotly, Dash, and Pydantic.

Provides a remote Model Context Protocol server for the Notion API, enabling OAuth‑based authentication and offering token‑efficient tools tailored for AI agents.

Provides a collection of Model Context Protocol servers that enable MCP‑compatible clients to interact with Cloudflare services such as Workers, Observability, Radar, and more, allowing natural‑language driven management of configurations, data, and operations.

A central management point that unifies REST, MCP, and streamable HTTP endpoints, providing federated discovery, authentication, rate‑limiting, observability, virtual servers, and an optional admin UI for AI tools, prompts, and resources.

Provides cloud browser automation capabilities for LLMs, enabling navigation, data extraction, screenshots, and session management via Browserbase and Stagehand.

Provides real-time web search capabilities to AI assistants via a Model Context Protocol server, enabling safe and controlled access to the Exa AI Search API.

Connect Supabase projects to AI assistants, allowing them to query tables, fetch configuration, manage migrations, and interact with edge functions directly via the Model Context Protocol.

Provides programmatic access to a Grafana instance and its surrounding ecosystem through the Model Context Protocol, enabling AI assistants and other clients to query and manipulate dashboards, datasources, alerts, incidents, on‑call schedules, and more.