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

A Model Context Protocol server that provides web content fetching capabilities.

Model Context Protocol Servers

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

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

A Model Context Protocol server that provides time and timezone conversion capabilities.

Provides up-to-date, version‑specific library documentation and code examples directly inside LLM prompts, eliminating outdated information and hallucinated APIs.

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

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.

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

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.

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

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.

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.

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

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

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.

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.

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.

Provides a GraphQL federation gateway that composes multiple data sources into a unified graph with advanced governance, analytics, and performance features.

Provides integration with Terraform Registry APIs, enabling automation and interaction for Infrastructure as Code development via Model Context Protocol.

Provides a proxy that forwards Model Context Protocol requests from external clients to JetBrains IDEs, enabling code‑related assistance tools to interact with IntelliJ‑based editors.

Provides access to income statements, balance sheets, cash flow statements, stock prices, market news, and cryptocurrency data through MCP tools for AI assistants.

Enables natural‑language interaction with Elasticsearch indices via the Model Context Protocol, exposing tools for listing indices, fetching mappings, performing searches, running ES|QL queries, and retrieving shard information.

Enables integration between MCP clients and the Graphlit platform, providing ingestion, extraction, retrieval, and RAG capabilities across a wide range of data sources and connectors.

Offers a comprehensive suite of geospatial APIs and tools for developers and AI agents, enabling geocoding, reverse geocoding, POI search, route planning, weather, traffic, IP location, and real‑time traffic queries via standardized MCP interfaces.

Deploy applications to Google Cloud Run via MCP, enabling AI agents, CLI extensions, and IDE integrations to perform deployments, list services, retrieve logs, and manage GCP projects.

Offers an MCP server exposing Chroma's vector database capabilities for LLM applications, supporting collection and document management, multiple embedding functions, and flexible client types such as in‑memory, persistent, HTTP, and cloud.

Add code interpreting capabilities to Claude Desktop via the E2B Sandbox, available in JavaScript and Python editions.

Enables Burp Suite to communicate with AI clients via the Model Context Protocol, providing an MCP server and bundled stdio proxy.