Latest MCP Servers

Enables AI-driven web and news searches with Tavily's API, offering tools for comprehensive queries, answer generation, and domain filtering for language models.

Provides a Model Context Protocol server that implements the “think” tool, enabling agents to pause, record explicit thoughts, and improve multi-step reasoning without altering the environment.

Provides a Model Context Protocol server that enables AI agents to explore Unity Catalog metadata, perform lineage analysis, and execute SQL queries within Databricks.

Execute JMeter test plans through Model Context Protocol clients, capture console output, generate HTML dashboards, and automatically analyze JTL results to surface performance metrics, bottlenecks, and actionable recommendations.

Provides a standardized Model Context Protocol interface to access over 20 NASA data sources, delivering AI‑friendly data formats while handling authentication, rate limiting, and request validation.

Enables Large Language Model clients to read, search, create, and update pages on any MediaWiki wiki through a set of defined tools.

Create, update, retrieve, and delete Zoom meetings through natural language commands using Claude or Cursor.

Provides metacognitive sanity checks for autonomous AI agents, interrupting pattern inertia and preventing reasoning lock‑in through adaptive Critical Path Interrupts.

Provides a TypeScript companion server for the Drupal MCP module that communicates over STDIO.

Interact with the macOS Calendar through natural‑language commands, enabling creation, querying, and updating of events in a conversational way.

Provides AI assistants with direct access to a user's Fitbit health and fitness data through a Model Context Protocol implementation, enabling real‑time queries and analysis.

Enables automatic management of co‑authors for git‑mob sessions, providing tools to set up, add, list, and apply Co‑authored‑by trailers to commits.

Provides access to Morningstar's Datapoint and Articles tools through MCP, enabling retrieval of financial metrics, ratings, research, and editorial content for securities and investment topics.

Provides a serverless cloud execution environment for AI agents with standard runtime tools, persistent user state, and real‑time edge‑cloud interaction via MCP.

Provides weather, climate, air quality forecasts and geocoding utilities via an MCP FastAPI server.

Provides an experimental MCP server that connects libvirt virtual machine management with AI models via Ollama, allowing AI-driven control and automation of VMs.

Provides programmatic access to Amazon Advertising resources—including Sponsored Products, Brands, and Display campaigns, ad groups, keywords, product ads, targeting, and performance reports—through a Model Context Protocol server, enabling plain‑English queries and integration with Claude or other MCP‑compatible clients.

Provides a Model Context Protocol server that enables LLMs like Claude to manage Ghost CMS content and settings via secure admin API calls.

Provides a secure, efficient, and personalized local AI chat experience with multi‑session management, markdown rendering, and extensible tool integration via MCP.

Provides LLMs with the ability to inspect BigQuery schemas and execute SQL queries via the Model Context Protocol.

Capture insights from any AI session and instantly make them searchable across all your tools, turning scattered conversations into persistent, organized knowledge.

Provides movie data, search, trending lists, and recommendations by integrating the TMDB API.

Provides real-time information about U.S. National Parks, including park details, alerts, activities, visitor centers, campgrounds, and events via the NPS API.

Enables AI assistants to query and analyze Kong Konnect API Gateway configurations, traffic, and analytics through a Model Context Protocol server.

Provides production‑ready MCP servers and a hosted service for integrating AI applications with over 50 third‑party services via standardized APIs, OAuth, and easy Docker or hosted deployment.

Provides a Model Context Protocol server that connects to the Databricks API, enabling LLMs to execute SQL queries, list jobs, and retrieve detailed job information.

Provides secure, structured access to Microsoft SQL Server databases for AI assistants, enabling table listing, data retrieval, and controlled query execution.

Provides Microsoft Teams integration via the Model Context Protocol, enabling reading, creating, replying to messages and mentioning members.

Enables large language models to control iOS simulators through natural language commands, offering full lifecycle management, app handling, UI interaction, debugging, and advanced simulation features.

Provides a powerful interface to the Shodan API, enabling advanced search, host intelligence, vulnerability discovery, and network mapping for security research.

Provides a project‑specific memory bank that stores decisions, progress, architecture, and custom data, exposing a structured knowledge graph via MCP for AI assistants and IDE tools.

Enables secure terminal command execution, directory navigation, and fine‑grained file system operations through a standardized MCP interface.