Top MCP Servers

Integrates the Freqtrade cryptocurrency trading bot with MCP, exposing its REST API as tools for AI agents to perform automated trading operations.

Boost security in the development lifecycle via SAST, SCA, secrets, and IaC scanning.

Provides an interface for LLMs to visualize data using Vega‑Lite syntax, supporting saving of data tables and rendering visualizations as either a full Vega‑Lite specification (text) or a base64‑encoded PNG image.

Integrates with Google Tasks to list, read, search, create, update, and delete tasks via MCP tools.

Unifies ACK cluster management, native Kubernetes operations, observability, security audit and diagnostic capabilities into a single AI‑native toolset, allowing natural‑language interaction with AI assistants to perform complex container‑oriented AIOps tasks.

Enables secure terminal command execution, directory navigation, and fine‑grained file system operations through a standardized MCP interface.

Provides local RAG‑style web search capabilities for LLMs by fetching DuckDuckGo results, generating embeddings with MediaPipe, ranking relevance, and returning extracted markdown content without external APIs.

Discover, evaluate, and compare over 6,000 open-source agent skills, MCP servers, and AI tools with quality scoring, trending analysis, and automated GitHub synchronization.

Provides AI trading agents with a persistent, outcome‑weighted cognitive memory layer that records trade decisions, contexts, and results, then surfaces the most relevant past experiences to improve future actions.

Create fast, free lip‑sync videos for digital avatars by providing audio or text, with optional avatar generation from images or videos.

Enables LLMs to perform travel-related tasks such as location search, place details lookup, route calculation, and timezone retrieval using Google Maps services.

Execute remote SSH commands and transfer files through a standardized MCP interface while keeping credentials isolated and secure.

Wanaku MCP Router connects AI-enabled applications using the Model Context Protocol (MCP).

Runs Replicate models through the Model Context Protocol, exposing tools for model discovery, prediction management, and image handling via a simple CLI interface.

Provides a Model Context Protocol (MCP) server that lets AI agents call Webflow's Data API for site, page, component, CMS, and custom‑code operations.

Provides a comprehensive test platform that enables managing test cases, executing manual or automated tests, debugging issues, and fixing code via natural language commands within AI‑enhanced IDEs and MCP‑enabled clients.

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

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 secure interaction with OceanBase databases and related tools through a Model Context Protocol server.

Interact with Box services to search files, read content, manage folders, run AI queries, extract structured data, handle metadata, and generate documents via a Python‑based MCP server.

Provides a Model Context Protocol server that implements the “think” tool, enabling agents to pause, record explicit thoughts, and improve multi-step reasoning without altering the environment.

Creates multiple query tools that connect to specific managed LlamaCloud indexes, exposing each as a searchable MCP tool.

Executes Postman collections via Newman and returns structured test results for seamless integration with language models.

Provides a deterministic MCP server environment for building and running code-generating agents, streamlining the development of agentic applications across multiple programming languages.

Provides a self‑hostable web interface that unifies discovery, configuration, and management of MCP servers while turning AI conversations into searchable, versioned organizational knowledge.

Provides JSON querying and manipulation capabilities via a Model Context Protocol (MCP) server, enabling LLMs to retrieve and transform JSON data using JSONPath expressions and extended operations.

Provides OpenCV image and video processing capabilities via the Model Context Protocol, enabling AI assistants to perform tasks such as image manipulation, object detection, tracking, and video analysis.

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

Provides seamless integration of the Google Ads API with Model Context Protocol clients, handling OAuth 2.0 authentication, automatic token refresh, GAQL query execution, account management, and keyword‑research capabilities.

Manages documents and enables semantic, natural‑language search for large language models, providing long‑term memory and Retrieval‑Augmented Generation capabilities.

Provides an extensible platform for AI‑augmented document ingestion, hybrid (vector + full‑text + graph) retrieval, automatic knowledge‑graph construction, and conversational query answering, with front‑ends in React, Angular, and Vue and a FastAPI‑based backend.

Provides a containerized static code analysis service powered by Joern's Code Property Graph and exposed through an MCP interface.