Latest MCP Servers

Offers over 25 AntV chart types for automated chart generation and data analysis, callable via MCP tools, CLI, HTTP, SSE, or streamable transports.

An implementation of the Model Context Protocol for the World Bank open data API

Provides AI assistants with direct access to Linear's project management resources—issues, projects, teams, users, roadmaps, and more—through the Model Context Protocol.

Retrieve up‑to‑date and historical currency exchange rates, perform conversions, and list supported currencies through a Model Context Protocol (MCP) server backed by the Frankfurter API.

Provides document management and AI-powered semantic search for storing, retrieving, and querying text, markdown, and PDF files locally without external databases.

A Python-based MCP server that provides real-time security advice about Python modules by querying multiple authoritative vulnerability databases.

Installs other MCP servers via simple commands, using npx for Node/npm packages and uv for Python packages.

Provides an MCP server that lets AI assistants manage podcasts, episodes, analytics, and file upload authorizations through the Podbean API.

Provides access to Microsoft SQL Server databases via a Model Context Protocol server, enabling language models to inspect schemas and execute SQL queries through a standardized API.

Provides a Model Context Protocol server that exposes LINE Bot conversations through FastAPI endpoints, enabling language models to read and analyze chat messages.

Enables large language models to trade stocks and options, retrieve real‑time and historical market data, and manage portfolios using plain English commands through a local or remote MCP server.

Provides a Model Context Protocol server that enables AI assistants to interact with Prefect through natural language, exposing core Prefect APIs for flows, deployments, runs, queues, blocks, variables, and workspaces.

Provides RDS service operations via OpenAPI, exposing tools for managing instances, querying metrics, and executing read‑only SQL through an MCP server.

Equips AI agents with standardized tools to query, index, and manage data in OpenSearch, enabling seamless integration of search capabilities into AI-driven applications.

Provides a standardized interface for AI agents to manage DataWorks cloud resources via the Model Context Protocol.

Provides a universal interface for AI agents to access AnalyticDB PostgreSQL, enabling metadata retrieval, SQL execution, graphRAG operations, and LLM memory management.

Provides a universal interface allowing AI agents to retrieve metadata and execute SQL operations on AnalyticDB for MySQL databases.

Enables AI assistants to operate Alibaba Cloud resources such as ECS, Cloud Monitor, OOS and other services through seamless integration with Alibaba Cloud APIs via the Model Context Protocol.

Enables interaction with Algolia APIs through experimental Model Context Protocol servers written in Go.

Enables context‑aware task and project operations on the TickTick platform through the Model Context Protocol, supporting OAuth2 authentication and full CRUD capabilities.

Enables Claude AI to control Ableton Live in real time, allowing AI‑driven creation, editing, and playback of tracks, clips, instruments, and effects through a socket‑based server.

Enables MCP clients to create and join virtual rooms, facilitating coordinated interactions among multiple agents with optional transcript storage.

Bridge LSP servers to provide hover information, completion suggestions, diagnostics, and code actions for large language models.

Provides a standardized interface for interacting with YouTube content, enabling video retrieval, transcript access, channel and playlist management, and advanced analytics through the Model Context Protocol.

Seamlessly manage emails through natural language conversations with Claude, supporting secure search, reading, and sending.

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

Converts Markdown content into interactive mindmaps, offering HTML output or a saved file path for seamless integration with AI clients.

Enables invocation of Dify workflows through Model Context Protocol, allowing tools to call Dify’s capabilities from any MCP‑compatible client.

A Model Context Protocol (MCP) server that enables natural language queries to databases

Enables AI assistants to interact with Outline documentation services, providing search, reading, editing, comment management, and document creation through a Model Context Protocol server.

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 Java‑based MCP‑compliant server that leverages Apache Lucene for full‑text indexing and retrieval through a RESTful API, with optional Docker deployment.