Top MCP Servers

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

Provides an MCP interface for querying Grafana Loki logs via `logcli` or the Loki HTTP API, enabling AI assistants to retrieve and analyze log data directly from Loki.

Integrates with Salesforce to send emails and deploy Apex code through MCP tools, providing a quick-start reference for JWT‑based authentication and server setup.

Provides AI agents with tools to interact with the Starknet blockchain, enabling queries, wallet management, and smart contract operations.

Provides a Model Context Protocol server that bridges Trello with AI assistants, enabling natural‑language management of boards, lists, and cards.

Enables AI agents to securely access and manipulate enterprise data and services via a unified MCP and OpenAPI bridge, supporting real‑time streaming, Azure Private Link, and modular custom APIs.

Manage tasks with create, read, update, and delete operations, stored locally and accessible via MCP tools for AI assistants.

Provides a standardized interface for interacting with Reddit's tools and services through a unified API.

Exposes the Rodin API through a Model Context Protocol (MCP) interface for AI model integration, enabling efficient data transmission and processing.

Proxies Boost.Space’s REST API for Model Context Protocol (MCP) clients, enabling seamless communication with tools such as Claude Desktop.

Provides keyword research tools such as People Also Ask, Google Autocomplete, Reddit and Quora questions, and semantic keyword extraction via a Model Context Protocol server.

Enables LLMs and other intelligent agents to configure, monitor, and manage Litmus Edge devices through real‑time Model Context Protocol communication.

Provides structured FDIC BankFind data through an MCP server, allowing AI tools and workflows to query U.S. bank and institution information via standardized endpoints.

Provides tools for AI agents to query Azure Edge Wiki content through MCP‑compliant endpoints.

Manage Aranet4 CO2 sensor data, scan devices, fetch measurements, store them in a local SQLite database, and query or visualize the results through an MCP client.

Programmatically generate Spring Boot projects with custom configurations and download them, supporting Maven or Gradle, Java/Kotlin/Groovy languages, various Java versions, and optional automatic extraction of the ZIP archive.

Provides MD5 and SHA‑256 hashing capabilities via the Model Context Protocol, allowing LLM‑driven workflows to compute cryptographic hashes without leaving the chat environment.

Provides programmatic access to MediaWiki and WikiBase APIs, enabling fetching and editing of pages through MCP resources and tools.

Standardized interface for interacting with Canva's tools and services via a unified API, built on the Universal MCP framework.

Provides a standardized API to interact with Semantic Scholar's tools and services, enabling unified access through the Universal MCP framework.

Provides a Stockfish-powered chess engine accessible via MCP, enabling clients to request the best move, validate moves, retrieve legal moves, and obtain game status through SSE or stdio transports.

Provides a Model Context Protocol server enabling integration of UnifAI tools within client applications.

MCP Server for ZIZAI Recruitment API.

Provides a gateway for Generative AI systems to interact with multiple Kubernetes clusters via the Model Context Protocol, enabling resource retrieval, multi‑cluster operations, and observability.

Implements the Model Context Protocol to enable query execution, metadata retrieval, and prompt delivery for KWDB databases, delivering a uniform JSON API for read, write, and DDL operations.

Enables AI desktop applications to read and select Revit model elements through a set of predefined micro‑tools, integrated directly into the Nonicatab toolbar.

Provides state‑of‑the‑art statistical verification for large language model pipelines, delivering confidence scores and uncertainty estimates for generated answers while allowing dynamic updates through verification tools.

Provides a suite of Model Context Protocol servers that enable AI‑driven upload, transformation, analysis, and workflow automation of media assets on Cloudinary.

Provides a Model Context Protocol bridge that connects AI assistants directly to the HiveFlow automation platform, enabling AI‑driven creation, execution, and management of automation flows via standard tool calls.

Create and send proposals via AI using the Offorte API.

Provides a stdin/stdout server that implements the Model Context Protocol for communication with the Routine application.