Top MCP Servers

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.

Provides a full‑stack web interface to browse, search, and analyze Claude Code conversation histories while offering a Model Context Protocol server that supplies persistent structured memory to Claude Code across sessions.

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.

Provides a Model Context Protocol server that enables natural‑language interaction with WordPress sites, exposing content, taxonomy, media, users, comments, plugins, and read‑only database queries as programmable tools.

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.

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 Model Context Protocol server that connects AI assistants to Shortcut, allowing them to read and manipulate Shortcut data through the Shortcut API.

Enables multiple isolated instances of identical MCP servers to run concurrently with separate namespaces, configurations, and filesystem access.

Provides persistent, cross‑session memory for AI‑powered IDEs using a local SQLite‑based vector database and semantic search, enabling AI assistants to recall project knowledge, preferences, and tasks without re‑injecting large context files.

Provides a Model Context Protocol server that integrates with Perforce P4, exposing safe, structured read/write tools for changelists, files, shelves, workspaces, jobs, reviews, and server metadata.

MCP tool for building Xcode iOS workspace/project and feeding back error to LLMs.