MCP (Model Context Protocol) servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol — so the agent can actually take action, not just write code.
1076 servers
AI-powered debugging and inspection for Kubernetes clusters using Inspektor Gadget. - AI-powered interface for Kubernetes troubleshooting and monitoring - One-click Inspektor Gadget deployment and removal - Intelligent output summarization and analysis - Automatic gadget discovery from Artifact Hub 1. Ensure you have Docker and a valid kubeconfig file 2. Configure the MCP server in VS Code (see IN
An MCP server that delivers real-time token prices from Uniswap V3 across multiple chains — optimized for AI agents and DeFi automation. - Supported Chains: Ethereum Mainnet (1), Polygon (137), Arbitrum (42161), Optimism (10). - Token Price Fetching: Queries Uniswap V3 pools for token prices against USDT, USDC, or WETH (in that order) with automatic decimal and symbol retrieval. - USD Conversion:
Analyze & generate docs for React code using the Model Context Protocol. Based on react-analyzer library. This tool analyzes React component files (JSX/TSX) and extracts information about components and their props. - analyze-react: Analyzes a single React component from source code - analyze-project: Generates documentation for all React components in a project folder - list-projects: Lists all p
The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more. 1. Create a Quickchat AI account and start a 7-day trial of any plan. 2. Set up your AI's Knowledge Base, capabilities and settings. 3. Go to the MCP page to activate your MCP. Give it Name, Description
A Model Context Protocol (MCP) server that exposes access to an InfluxDB v2 instance using the InfluxDB OSS API v2. Mostly built with Claude Code. This MCP server provides: - Resources: Access to organization, bucket, and measurement data - Tools: Write data, execute queries, and manage database objects - Prompts: Templates for common Flux queries and Line Protocol format The server exposes the fo
Query OpenAI models directly from Claude using MCP protocol. Add to claudedesktopconfig.json: MIT License
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks to add a note, list notes, search notes, or manage note folders.
A Model Context Protocol (MCP) server that provides access to the MongoDB Atlas API. This server wraps the mongodb-atlas-api-client package to expose MongoDB Atlas functionality through MCP tools. This MCP server exposes most of the mongodb-atlas-api-client surface as MCP tools. - userget — Get a database user by username - usergetall — List all database users - usercreate — Create a database user
A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access diagnostic information via structured resources. Supports both stdio and HTTP server transport modes for different integration - Multi-Connection Support: Manage multiple concurrent Neovim instances - LSP Integration: Com
Ever wished you could just ask Portainer what's going on? Now you can! Portainer MCP connects your AI assistant directly to your Portainer environments. Manage Portainer resources such as users and environments, or dive deeper by executing any Docker or Kubernetes command directly through the AI. Portainer MCP is a work in progress implementation of the Model Context Protocol (MCP) for Portainer e
This is a simple Model Context Protocol (MCP) server implementation for IP2Location.io API. It will return a detailed geolocation information for any given IPv4 or IPv6 address. - Comprehensive Geolocation Data: Retrieves a wide range of information, including country, region, city, latitude, longitude, ZIP code, time zone, and more. - Network Details: Provides network-related data such as ASN, IS
An MCP server that brings your curated Obris knowledge into any AI conversation. Use the Chrome extension or upload directly to save knowledge to dedicated topics so you never start another AI chat from zero again. - List topics — Browse all your Obris topics to find the one you need - Pull in knowledge — Retrieve saved bookmarks, highlights, and notes as context for any conversation - Save knowle
The Parallel Task MCP allows initiating deep research or task groups directly from your favorite LLM client. It can be a great way to get to know Parallel’s different APIs by exploring their capabilities, but can also be used as a way to easily do small experiments while developing production systems using Parallel APIs. Please read our MCP docs here for more details. The official installation ins
通过 uvx 安装并运行： 安装完成后，直接运行： 运行后你可以直接使用工具，例如： 或（如果是 uvx 安装）： 好的，这是转换后的 Markdown 版本： 好的，这是转换后的 Markdown 版本： 1. 配置环境变量（可选） 你可以通过 .env 文件或系统环境变量配置 DolphinDB 的连接信息： 也可以不设置，系统将使用默认值。 该命令会启动 MCP 插件服务，供外部调用。 3. FastMCP Agent 使用示例 启动后，你的工具将通过 FastMCP 对外暴露以下函数接口： listtbs(dbName: str) querytablediskusage(database: str, tableName: str) querydolphindb(script: str) 可通过 MCP 前端界面或对接 LLM 工具链来进行访问。
A Model Context Protocol (MCP) server that enables AI assistants and agents (Claude, Cursor, Copilot, etc.) to search package registries and retrieve up-to-date package information. Alternatively, in Cursor, you can configure MCP servers in your settings: 1. Open Cursor Settings (Cmd/Ctrl + ,) 2. Search for "MCP" or go to Extensions > MCP 3. Add a new server with: - Name: package-registry - Comman
Please use Alby MCP instead! This repository has been deprecated in favor of Alby MCP, which includes all the NWC tools along with additional Lightning tools. Connect a bitcoin lightning wallet to your LLM using Nostr Wallet Connect (NWC or NIP-47). This MCP server uses the official MCP TypeScript SDK If your agent supports SSE (e.g. N8N) or HTTP Streamable transports, you can connect to Alby's MC
A Model Context Protocol (MCP) server that connects to the Databricks Genie API, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents. - List Genie spaces available in your Databricks workspace (Currently Manual/Using Resource) - Fetch metadata (title, description) of a specific Genie space - Start new Genie conversations with natural
A Rust MCP server that gives Claude (Code, Desktop, or web) read/write access to your Workflowy graph, plus a generic template for turning that raw access into a working second brain. There are two ways to use it: 1. Bare MCP server. Wire the binary into your MCP host and call the 26 tools directly. No templates, no opinions. 2. Second brain. Hand BOOTSTRAP.md to Claude. The assistant follows the
Cognitive browser automation with 91 MCP tools. AI-friendliness audits, persona testing, empathy audits, WebMCP readiness. USE WHEN browser automation, screenshot, agent-ready audit, ai-benchmark, empathy audit, webmcp-ready, hunt bugs, cognitive journey, persona comparison, visual regression, cross-browser test.
A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Obsidian vault. Access your notes, create content, manage tags, and search your knowledge base through natural conversation. - CRUD Operations: Create, read, update, and delete notes (with safety confirmation) - Write Modes: Overwrite, append, or prepend content - Batch Reading: Read multiple notes i
A powerful Model Context Protocol (MCP) server designed for advanced video and audio editing operations. This server enables MCP clients—such as Claude Desktop, Cursor, and others—to perform comprehensive multimedia editing tasks through a standardized and unified interface. - Basic Editing: Trim, merge, resize, crop, rotate videos - Effects: Speed control, fade in/out, grayscale, mirror - Overlay
MCP server for Offorte - Create & send proposals using AI. This server acts as the bridge between AI agents and Offorte's proposal engine. It enables external models to create and send proposals via Offorte. Built for automation workflows, the MCP makes it easy to integrate proposal actions into AI tools, chat interfaces, and autonomous systems. - About Offorte - Goals \& Coverage - Prerequisites
Read and write to a Pinecone index. The server implements the ability to read and write to a Pinecone index. - semantic-search: Search for records in the Pinecone index. - read-document: Read a document from the Pinecone index. - list-documents: List all documents in the Pinecone index. - pinecone-stats: Get stats about the Pinecone index, including the number of records, dimensions, and namespace
Manage MCP servers across 13 AI clients from one CLI. Define a server once. Enable it where you want. Keep unmanaged client entries intact. MCP servers are useful, but managing them across multiple AI clients is repetitive and error-prone: - different config locations - different formats (JSON, JSONC, TOML) - repeated env/header setup - easy to overwrite manual client entries - hard to roll back a