Latest MCP Servers

Enables AI assistants to perform deep, semantic code search, repository analysis, and package discovery across public and private GitHub repositories, delivering structured, AI‑optimized context for development workflows.

Provides read‑only access to MySQL databases for large language models, allowing schema inspection and safe execution of SQL queries.

Execute Python code within a specified Conda, virtualenv, or UV environment, supporting incremental code generation and dynamic dependency handling for LLMs.

Enables persistent, local‑first knowledge management by allowing LLMs to read and write Markdown files during natural conversations, building a traversable knowledge graph that stays under the user’s control.

Run generated Python code to query and manage AWS resources through boto3, with sandboxed execution and containerization for safe interaction.

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

Enables AI agents to fully control remote macOS machines via screen sharing, using a lightweight Docker‑based MCP server that requires no additional API keys or software installation on the target Mac.

Provides Gmail read and send capabilities via MCP without requiring local credential files, supporting headless and containerized operation.

Provides a client SDK for building AI‑native applications on Baidu Cloud, enabling model calls, component orchestration, knowledge‑base management, workflow composition, monitoring, and flexible deployment options.

Enables AI agents to query Axiom data using Axiom Processing Language (APL) through a set of Model Context Protocol tools.

Provides specialized servers that expose AWS capabilities through the Model Context Protocol, enabling AI assistants to retrieve up-to-date documentation, execute API calls, and automate infrastructure workflows directly within development environments.

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

Provides a local MCP server that exposes Auth0 management operations as tools for AI assistants, enabling natural‑language control of Auth0 tenants.

Provides a collection of tools and protocols that enable AI agents to interact with Atlan services, offering asset search and retrieval capabilities via the Model Context Protocol.

Provides a standardized interface for large language models to evaluate their responses using the Atla API.

Provides a Model Context Protocol server that interfaces with Stripe to manage customers, payment intents, charges, and refunds, while maintaining structured audit logs and robust error handling.

Provides real-time Dota 2 statistics, match data, player profiles and related information via a Model Context Protocol interface for LLMs and AI assistants.

Enables AI agents to dispatch Pushover notifications through an MCP server, supporting customizable messages, titles, priority, sound, URLs, and device targeting.

Manage Asgardeo or WSO2 Identity Server organizations via natural‑language prompts, enabling LLM tools to list, create, and configure applications, APIs, users, and claims.

Provides SQL query execution, schema exploration, and built‑in data‑analysis tools for Teradata databases through a Model Context Protocol server.

Integrates AI agents with the crypto ecosystem, providing unified wallet management, swaps, cross‑chain transactions, and advanced trading tools.

Enables AI LLMs to execute trades on the MetaTrader 5 platform through the Model Context Protocol.

Provides dual‑perspective analysis that alternates between actor (creative/empathic) and critic (analytical/evaluative) viewpoints, delivering balanced performance assessments and actionable feedback.

Provides an intelligent home automation control service that bridges MCP‑compatible AI assistants with Aqara smart home devices, enabling natural language device control, status queries, scene execution, and scheduled automation.

Expose GraphQL operations as MCP tools, enabling AI models to access and orchestrate APIs running with Apollo.

Validates OpenAPI 2.0 and 3.0 specifications in JSON or YAML by leveraging APIMatic's API through a Model Context Protocol (MCP) server.

Provides a fast, stdio‑based server that enables AI agents to perform web searches and fetch page content via the RAG Web Browser Actor.

Enables AI assistants to invoke any Apify Actor as a tool, providing real‑time web scraping, data extraction, and automation via the Model Context Protocol.

Analyzes and queries XMind mind map files, offering fuzzy search, task extraction, hierarchical navigation, link/reference extraction, multi‑file analysis, and secure directory access.

Provides SQL query execution and business‑intelligence capabilities over IoTDB, supporting both Tree and Table dialects, metadata retrieval, data selection, and export of results to CSV or Excel formats.

Provides an MCP backend service built with Python and FastAPI to interact with Apache Doris databases, enabling natural language to SQL conversion, query execution, metadata extraction, and comprehensive enterprise data governance.

Upload videos to YouTube through an AI‑powered MCP integration that keeps OAuth credentials private and requires no CLI interaction.