Discover Awesome MCP Servers

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-server-template-ic

MCPサーバーとICウォレットの接続

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.

manim-mcp-server

This is a complex request! Generating animations like 3Blue1Brown with a single prompt is currently impossible with existing AI image or video generation tools. 3Blue1Brown's animations are characterized by: * **Mathematical Accuracy:** The animations are precise representations of mathematical concepts. * **Clear Visualizations:** Complex ideas are broken down into simple, understandable visuals. * **Narrative Structure:** Animations are part of a larger explanation, building understanding step-by-step. * **Custom Code:** Grant Sanderson (3Blue1Brown) uses custom Python code (Manim) to create these animations. This allows for precise control over every element. Current AI tools (like DALL-E, Midjourney, Stable Diffusion, or video generators like RunwayML, Pika Labs, or Gen-2) are good at generating visually appealing images or short video clips, but they lack the following: * **Mathematical Understanding:** They don't "understand" the underlying math to create accurate representations. * **Precise Control:** You can't specify exact movements, transformations, or relationships between objects with the necessary precision. * **Narrative Awareness:** They can't create a coherent narrative that builds understanding of a complex topic. * **Code Generation:** They can't generate the code needed to create these animations. **Why a Single Prompt Won't Work:** A single prompt is simply not enough to convey the complexity of a 3Blue1Brown animation. You would need to specify: * The mathematical concept to be visualized. * The specific steps in the explanation. * The visual representation of each step. * The timing and transitions between steps. * The overall narrative flow. **What You *Can* Do (But It's Not a Single Prompt):** You can use AI tools to *assist* in creating 3Blue1Brown-style animations, but it will require a multi-step process and significant manual effort: 1. **Scripting:** Write a detailed script outlining the mathematical concept, the steps in the explanation, and the visual elements for each step. 2. **Image Generation (AI-Assisted):** Use AI image generators to create individual frames or elements for your animation. You'll need to use very specific prompts for each frame, and you'll likely need to iterate and refine the images. For example: * "A vector rotating counterclockwise in a 2D plane, starting at the x-axis, with a label 'v' attached to the vector." * "A graph of the function y = x^2, with the x-axis labeled 'x' and the y-axis labeled 'y'." 3. **Animation (Manual):** Use animation software (like Manim, Blender, After Effects, or even simpler tools like Keynote or PowerPoint) to assemble the frames, add transitions, and create the animation. This is where you'll need to implement the mathematical logic and narrative flow. 4. **Voiceover (AI-Assisted):** You could use AI voice synthesis to create a voiceover for your animation. **Example of a Series of Prompts (Still Requires Manual Assembly):** Let's say you want to visualize the concept of the derivative as the slope of a tangent line. Here's a *simplified* example of prompts you might use: * **Prompt 1:** "A graph of the function y = x^2, with the x-axis labeled 'x' and the y-axis labeled 'y'. The graph should be in blue." * **Prompt 2:** "The same graph as before, but with a red point on the curve at x = 2." * **Prompt 3:** "The same graph and red point as before, but with a green line tangent to the curve at the red point." * **Prompt 4:** "The same graph, red point, and green tangent line as before, but with the slope of the tangent line labeled as '4'." * **Prompt 5:** "The same graph as before, but with the red point moving along the curve from left to right." * **Prompt 6:** "The same graph and moving red point as before, with the green tangent line constantly adjusting to be tangent to the curve at the red point." * **Prompt 7:** "The same graph, moving red point, and adjusting green tangent line as before, with the slope of the tangent line being displayed numerically and changing as the red point moves." You would then need to take these images and manually assemble them into an animation using animation software. You would also need to add text, narration, and other visual elements to create a complete explanation. **In summary:** While AI can help with generating individual visual elements, creating a full 3Blue1Brown-style animation still requires significant manual effort, mathematical understanding, and animation skills. A single prompt is not sufficient.

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.

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.

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.

claude-session-manager

Claude Code Session Manager

Web3 MCP Server

Model-Context-Protocol (MCP)サーバーは、シンプルなRPCエンドポイントを通じて、SolanaおよびEthereumブロックチェーン上で基本的な操作をユーザーが実行できるようにします。

Lens Protocol MCP Server

Enables AI tools to interact with the Lens Protocol decentralized social network ecosystem. Supports fetching profiles, posts, followers, searching content, and accessing social graph data through standardized MCP interfaces.

Open MCP Server

A modular productivity automation server providing reusable prompt templates, composable skills, and multi-step workflows for tasks like daily planning, code review, document summarization, and project management.

Hiworks Mail MCP

A Model Context Protocol server that allows integration with Hiworks mail system to search, read, and send emails with support for text, HTML, and attachments.

Keka MCP Server

Integrates with Keka HR platform to manage employee profiles, attendance, leave applications, payslips, and holidays through OAuth2-authenticated API tools.

MCP Chart Server

A Model Context Protocol server that generates TradingView chart visualizations with real-time updates, enabling AI assistants to create and display financial charts through an integration with Chart-IMG API.

Ubuntu Desktop Control MCP

Enables AI assistants to control Ubuntu desktops through screenshots, mouse clicks, and keyboard interactions using AT-SPI integration and computer vision. It features optimized element detection and workflow batching for fast and accurate visual interaction with desktop applications.

Imagician

Enables comprehensive image editing operations including resizing, format conversion, cropping, compression, rotation, flipping, and batch processing. Supports JPEG, PNG, WebP, and AVIF formats with quality control and metadata extraction.

MCP Server Template

A template repository for creating MCP servers that can be easily containerized and used with MCP clients.

MCP Server

A configurable server implementation that provides MCP (Model-Controller-Protocol) functionality, supporting both Node.js and Docker environments with automated setup and configuration options.

Obsidian Kanban MCP Server

Enables users to manage Obsidian Kanban boards within a vault by listing, reading, and creating boards or tasks. It supports moving tasks between columns and adding detailed task metadata via the Obsidian Kanban plugin.

Deno Gemini Grounding MCP Server

Provides Google search grounding capabilities for Gemini AI models through MCP, enabling AI assistants to perform web searches with Gemini's grounding API for more accurate and up-to-date responses.

Maya MCP

Maya MCP

Google Forms MCP Server

Enables creation and management of Google Forms with support for all 12 question types, response collection, CSV export, and form publishing through OAuth-authenticated API access.

Simple Hono MCP Server

A lightweight MCP server built with Hono and Cloudflare Workers that provides a tool for prime factorization. It serves as a minimal implementation for deploying remote MCP servers to serverless edge environments.

MCP Token Bridge

Bridges MCP tool calls with OpenAI-compatible HTTP endpoints, allowing MCP clients to forward chat completion requests through a unified FastAPI server that returns responses with MCP-specific headers.

Neo4j Knowledge Graph

自然言語を通じて、Neo4jで構築されたナレッジグラフにおいて、エンティティとリレーションシップの作成、更新、検索、削除を可能にし、知識をグラフデータベース形式で保存・検索できるようにします。

Brewteco MCP Server

Integrates Brewteco APIs with AI assistants, enabling natural language queries for sales data, product performance, team analytics, customer segmentation, and detailed customer profiles across multiple store locations.

Kitchen MCP Server

Enables querying food nutritional information, discovering recipes by ingredients or diet type, getting ingredient substitutions, and receiving personalized food recommendations based on mood and season.