Top MCP Servers

Enables AI assistants to interact with Azure DevOps services via the Model Context Protocol, providing capabilities to manage work items, projects, and teams through natural language commands.

Provides a Model Context Protocol server that connects AI assistants to Shortcut, allowing them to read and manipulate Shortcut data through the Shortcut API.

Enables multiple isolated instances of identical MCP servers to run concurrently with separate namespaces, configurations, and filesystem access.

Provides persistent, cross‑session memory for AI‑powered IDEs using a local SQLite‑based vector database and semantic search, enabling AI assistants to recall project knowledge, preferences, and tasks without re‑injecting large context files.

Provides a Model Context Protocol server that integrates with Perforce P4, exposing safe, structured read/write tools for changelists, files, shelves, workspaces, jobs, reviews, and server metadata.

MCP tool for building Xcode iOS workspace/project and feeding back error to LLMs.

Fetches arXiv LaTeX sources and provides them via MCP for LLM clients to accurately interpret mathematical content in scientific papers.

Enables AI assistants and applications to query, retrieve, and transfer DICOM data from PACS, VNA, and other medical imaging systems.

Provides access to OpenAI's websearch capability through the Model Context Protocol, enabling AI assistants to retrieve up-to-date web information during conversations.

Fetch and explore cloud cost and usage data from a Vantage account using natural language through AI assistants and MCP clients.

Integrates SonarQube Server or Cloud to evaluate code quality, security issues, and code snippets directly within the agent context.

Provides access to Ragie's knowledge base retrieval capabilities via the Model Context Protocol, enabling AI models to query and obtain relevant information.

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 Claude to discover and call any API endpoint via semantic search, chunking OpenAPI specifications and providing instant request execution for private APIs.

Transforms OpenAPI specifications into Model Context Protocol (MCP) tools and exposes the full suite of Twilio APIs for AI assistants and other MCP‑compatible services.

Converts any MCP server into a Claude Skill, achieving up to 90% context savings while keeping tool functionality external to the model.

Manages GitHub projects with AI‑powered task generation, requirements traceability, and end‑to‑end workflow automation.

Provides access to Alpha Vantage stock market data via an MCP server, supporting stdio and HTTP streaming modes with optional OAuth 2.1 authentication.

Installs Model Context Protocol servers within Cursor IDE by providing a Git URL, npm package, or local directory, handling path resolution, schema detection, and configuration automatically.

Provides access to YouTrack functionality via Model Context Protocol, enabling issue creation, updates, searches, custom field handling, and attachment processing.

Provides a Model Context Protocol (MCP) server integration for Tinybird, enabling analytics agents to communicate with Tinybird's data platform.

Provides translation capabilities via a Model Context Protocol server, supporting language detection, context‑aware translations, and management of translation memories, all accessible through HTTP or STDIO interfaces.

Provides translation and rephrasing capabilities powered by the DeepL API via a Model Context Protocol server.

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

Interact with Airtable bases, tables, fields, and records through Claude Desktop or any MCP client, enabling programmatic creation, updating, and searching of Airtable data.

Acts as a bridge between Arduino/ESP32 hardware and AI models, enabling AI-driven control of LEDs, buzzers, motors, servos, fans, relays, and sensors through the Model Context Protocol.

Enables AI‑powered interactions with CircleCI via the Model Context Protocol, allowing natural‑language commands to list projects, retrieve logs, trigger pipelines, and perform other CI/CD operations.

Queries multiple Ollama models, combines their perspectives, and synthesizes a comprehensive answer for a single question, enabling a council‑of‑advisors style interaction.

Retrieve PDF documents and other S3 objects through Model Context Protocol resources, enabling LLMs to pull data directly from AWS S3 buckets.

Provides a Model Context Protocol server exposing read‑only VictoriaMetrics APIs, enabling seamless monitoring, observability, and automation through AI‑driven assistants.

Provides zero‑config, AI‑managed end‑to‑end testing and live session monitoring for web applications.

A bridge that connects Keboola projects with AI agents, exposing storage, component configurations, SQL transformations, job execution, workflow orchestration, and Data Apps through the Model Context Protocol.