Discover Awesome MCP Servers

QMCP

A FastAPI-based Model Context Protocol server that enables tool discovery, invocation history, and human-in-the-loop interaction workflows. It features a Python client and CLI for managing automated tasks that require manual approval and persistence.

MCP Server Basic Example

A sample implementation of Model Context Protocol server demonstrating core functionality with simple arithmetic tools and greeting resources.

LiteFarm MCP Server

Connects Claude Desktop to a local LiteFarm installation, enabling farm management, task operations, crop browsing, and direct SQL database operations through natural language commands.

MCP Python Server

A Python-based implementation of the Model Context Protocol that enables communication between a model context management server and client through a request-response architecture.

ragora

Search your knowledge bases from any AI assistant. Ragora is a knowledge marketplace that lets you upload, organize, and search documents using hybrid RAG (dense + sparse vectors). Connect via MCP to search across all your collections directly from Claude, Cursor, VS Code, and more.

browser-devtools-mcp

A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.

Instantly MCP Server

提供对 Instantly API v2 的访问，用于电子邮件营销活动和潜在客户管理功能。

Integration App MCP Server

This MCP server implementation allows users to manage and expose actions as tools from their Integration App workspace through the Model Context Protocol.

mcp-server-template-ic

MCP 服务器，连接到 IC 钱包

Playwright MCP

Enables browser automation and web scraping by exposing Playwright tools through an HTTP-based MCP server. Users can navigate pages, interact with web elements, capture screenshots, and extract structured content using a persistent Chromium instance.

manim-mcp-server

This is a complex request! Generating animations like 3Blue1Brown with a single prompt is currently impossible with existing AI tools. 3Blue1Brown animations are meticulously crafted using a combination of programming (primarily Python with libraries like Manim), mathematical understanding, and artistic design. A single prompt simply cannot encapsulate the necessary detail and control. However, I can give you a *starting point* prompt that might generate *something* vaguely reminiscent, and then explain why it's unlikely to be successful and what you'd need to do to get closer to the desired result. **Prompt (for an image generation AI like DALL-E 3, Midjourney, or Stable Diffusion):** `"A dynamic, colorful animation frame showing a vector transforming a grid, inspired by 3Blue1Brown's style. Use a vibrant color palette, clean lines, and a focus on mathematical visualization. Include subtle motion blur to suggest movement. Emphasis on clarity and understanding."` **Why this will likely fall short:** * **Lack of Mathematical Understanding:** Image generation AIs don't "understand" the underlying mathematics. They can mimic visual styles, but they won't accurately represent mathematical concepts like linear transformations, eigenvalues, or calculus. The grid might be distorted, but not in a mathematically meaningful way. * **No True Animation:** This prompt will only generate a single image, not an animation. Creating an animation requires generating a sequence of images with controlled changes over time. * **Inability to Control Precision:** 3Blue1Brown animations are precise. Every line, every movement, is carefully calculated. Image generation AIs are inherently stochastic (random) and lack this level of control. * **No Narrative or Explanation:** 3Blue1Brown videos are more than just visuals; they tell a story and explain complex concepts. A single image can't convey that. * **Style Mimicry Only:** The AI will try to mimic the visual style (color palette, clean lines), but it won't understand the *purpose* of that style, which is to enhance understanding. **What you *would* need to do to get closer to a 3Blue1Brown-style animation:** 1. **Learn Manim (or a similar animation library):** This is the most important step. Manim is specifically designed for creating mathematical animations. It allows you to define objects, transformations, and animations with precise mathematical control. 2. **Break Down the Animation into Steps:** Plan the animation carefully. What concepts are you trying to illustrate? What sequence of transformations will best convey those concepts? 3. **Write Code:** Use Manim to write code that creates each frame of the animation. This will involve defining mathematical objects (vectors, matrices, graphs), specifying transformations (rotations, scaling, shearing), and controlling the timing and easing of the animations. 4. **Render the Animation:** Manim will render the code into a sequence of images, which you can then combine into a video. 5. **Add Narration and Music:** Finally, add narration and music to explain the concepts and enhance the viewing experience. **In summary:** While AI image generation can create visually appealing images inspired by 3Blue1Brown, it cannot replicate the mathematical accuracy, precision, and explanatory power of a true 3Blue1Brown animation. You'll need to learn programming and mathematical animation techniques to achieve that level of quality. **Translation of the prompt to Chinese:** `"生成一个动态的、色彩鲜艳的动画帧，展示一个向量变换一个网格，灵感来自 3Blue1Brown 的风格。 使用充满活力的调色板、干净的线条，并专注于数学可视化。 包括微妙的运动模糊来暗示运动。 强调清晰度和理解力。"` (Pinyin: `"Shēngchéng yīgè dòngtài de, sècǎi xiānyàn de dònghuà zhēn, zhǎnshì yīgè xiàngliàng biànhuàn yīgè wǎnggé, línggǎn láizì 3Blue1Brown de fēnggé. Shǐyòng chōngmǎn huólì de tiáosèbǎn, gānjìng de xiàntiáo, bìng zhuānzhù yú shùxué kěshìhuà. Bāokuò wēimiào de yùndòng móhú lái ànshì yùndòng. Qiángdiào qīngxīdù hé lǐjiě lì."`)

XFOIL MCP Server

Enables aerodynamic analysis through XFOIL polar computations. Provides typed models and tools to run airfoil performance analyses from agents or automation workflows.

AbletonMCP

A server that connects Ableton Live to Claude AI through the Model Context Protocol, enabling AI-assisted music production and direct control of Ableton Live features.

RegGuard MCP Server

An AI-powered compliance assistant that analyzes financial marketing content for regulatory violations across multiple jurisdictions including Singapore, Hong Kong, UAE, and India. It enables real-time compliance checking, automatic disclaimer insertion, and audit trail generation within MCP-compatible environments like Claude and Cursor.

Senzing MCP Server

Enables entity resolution capabilities through the Senzing SDK, allowing AI assistants to search entities, manage records, analyze relationships between entities, and perform bulk data imports with multithreading.

E*TRADE MCP Server

Enables comprehensive E\*TRADE integration with OAuth authentication, account management, risk calculations, watch lists, and trading operations. Includes built-in risk management guardrails, portfolio tracking, market data access, and trading validation for safe automated trading operations.

Dexcom + Carb Search

Enables diabetes management by retrieving real-time glucose readings from Dexcom continuous glucose monitors and searching for carbohydrate content of foods to help make informed dietary decisions.

WordPress MCP Server

镜子 (jìng zi)

Spotify MCP Server

Enables interaction with Spotify's music catalog through natural language conversations. Search for tracks and artists, get recommendations, explore playlists, and browse artist discographies using the Spotify Web API.

Wikidata MCP Server

Connects LLMs to Wikidata's structured knowledge base using a hybrid architecture that optimizes for both fast entity searches and complex relational queries. It provides tools for entity and property retrieval, metadata lookups, and direct SPARQL execution to ground AI responses in verified data.

MCP Airtable Server

Provides tools for AI assistants to interact with Airtable databases, enabling CRUD operations on Airtable bases and tables.

MCP Fetch

A Model Context Protocol server that allows LLMs to retrieve and convert web content to markdown without robots.txt restrictions.

MCP Carvana

An MCP server that integrates with the Carvana marketplace to enable vehicle searching, financing estimation, and trade-in value assessments. It allows AI assistants to retrieve detailed vehicle information, history reports, and market insights directly from Carvana's inventory.

Fathom MCP Server

Enables access to Fathom.video meeting data including AI-generated transcripts, summaries, and action items. Supports searching meetings, exporting to markdown, and managing webhooks through natural language in Cursor IDE.

AGI-MCP

An advanced MCP server implementing a cognitive architecture through the GOTCHA framework and ATLAS process for sophisticated task management and reasoning. It provides persistent SQLite memory, lifecycle hooks, and a subagent system to enable complex, agentic AI workflows.

Playwright MCP

A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages through structured accessibility snapshots without requiring screenshots or visually-tuned models.

MCP-A2A-Gateway

Bridges Model Context Protocol (MCP) with Google's Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants like Claude to discover, register, communicate with, and manage tasks on A2A agents through a unified interface.

Obsidian MCP Server

Enables interaction with Obsidian vaults through MCP, supporting note creation from templates, link management, backlink analysis, tag operations, and automatic Map of Contents generation.

Povio Worklog MCP Server

Automates the generation of professional worklogs by analyzing git commits with AI enhancement and seamlessly posting them to the Povio dashboard. It enables users to list projects, extract ticket numbers, and manage worklog entries through natural language commands.