Top MCP Servers

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

Manages Containerd CRI interfaces via an MCP server, handling container lifecycle, pod sandbox operations, and image management.

Enables human‑in‑the‑loop feedback within Cline and Cursor tools via a Model Context Protocol server, allowing developers to request user input before completing tasks.

Provides LLM‑friendly, Model Context Protocol tools to retrieve and explore Nasdaq Data Link’s extensive financial, economic, and fund datasets directly from large language models.

Provides a knowledge‑graph memory server backed by DuckDB, enabling fast, scalable storage, fuzzy search, and relational queries over entities, observations, and relations.

Curated catalog of AI coding resources—including MCP servers, reusable skills, rule sets, and prompt templates—plus a CLI tool for one‑command search, browse, and installation directly from AI agents.

Provision, secure, backup, and manage self‑hosted servers through a single command‑line interface.

Runs a local MCP server to bridge Glean API with client applications, enabling quick testing and development.

Fetch Microsoft Clarity analytics data via a Model Context Protocol server, enabling MCP‑compatible clients such as Claude for Desktop to query metrics and dimensions.

Transforms AI coding agents into structured development partners by applying battle‑tested engineering workflows, preserving project context across sessions, and automatically generating documentation and decision logs.

Provides voice interaction tools for AI agents via the Model Context Protocol, exposing start, listen, speak, and stop capabilities.

Provides real-time and historical Crypto Fear & Greed Index data with tools for fetching, analyzing, and interpreting market sentiment.

Provides an MCP server enabling natural‑language management of Upstash Redis databases via Node.js or Docker.

Enables AI agents to access a wide range of OP.GG gaming data through standardized function calls, simplifying integration of live stats, leaderboards, and meta information into AI-driven applications.

Enables CAP services to be exposed as Model Context Protocol servers, turning OData entities, actions, and functions into AI‑accessible resources, tools, and reusable prompt templates.

Automates X/Twitter tasks such as profile scraping, follower management, tweet searching, liking, retweeting, posting, and multi‑account actions through a CLI, browser console scripts, Node.js API, and an MCP server for AI agents, all without requiring Twitter API keys or fees.

Render and preview Mermaid diagrams with live‑reload, multiple export formats, theme support, and an integrated Claude skill for expert diagram guidance.

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

Send and retrieve real‑time notifications via ntfy from AI agents, supporting public or self‑hosted ntfy.sh servers with optional token authentication, usable through npx or Docker.

Access LinkedIn, Instagram, and Reddit data along with robust user account management through the HorizonDataWave API.

Implementation of the Model Context Protocol for Oat++ that enables automatic generation of LLM‑compatible tools, prompts, and resources with transport options via STDIO or HTTP Server‑Sent Events.

Provides a Model Context Protocol server that equips agentic AI tools with UI5‑specific project scaffolding, API reference retrieval, guideline access, project metadata extraction, version info, and linting capabilities.

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 unified connection that lets users access all their previously integrated tools across any MCP‑compatible environment without needing separate logins for each service.

Exposes OpenAPI specification data to LLMs, enabling interactive exploration of endpoints, parameters, request/response schemas, components, and examples through a set of dedicated tools.

Expose HuggingFace zero‑shot object detection models as tools for large language or vision‑language models, enabling object localisation and zoom functionality on images.

Tracks large cryptocurrency transactions in real time using the Whale Alert API and exposes tools, resources, and prompts via the Model Context Protocol.

Provides AI agents with real‑time production context—including logs, metrics, traces, and alerts—through a Model Context Protocol server, enabling automatic code fixing and faster debugging.

Enable AI assistants to interact with Pinecone projects, allowing documentation search, index configuration, code generation, and data operations directly from development environments.

Unblock, scrape, and convert web content into clean markdown while providing CDN‑style caching for AI agents, enabling reliable, rate‑limited‑free access to web pages, PDFs, images, and more.

An AI-powered assistant that helps compose, generate, and manipulate MIDI content directly within Ableton Live via a Max for Live device.

Manage Model Context Protocol (MCP) servers across multiple AI agents through a modern cross‑platform desktop interface, enabling discovery, one‑click installation, configuration, and lifecycle management without manual file edits.