MCP

An MCP Server that enables AI assistants to interact with your local browsers. 1. Add MCP Browser Kit to your MCP Client: 2. Choose the right extension build for your browser: - Check the Compatibility table below to see which build (M2 or M3) is compatible with your browser - Note that M2 builds offer more functionality than M3 builds, so prefer M2 if your browser supports both 3. Download the la

This document covers the set up and use of a generic ODBC server for the Model Context Protocol (MCP), referred to as an mcp-odbc server. It has been developed to provide Large Language Models with transparent access to ODBC-accessible data sources via a Data Source Name configured for a specific ODBC Connector (also called an ODBC Driver). This MCP Server for ODBC is a small TypeScript layer buil

An MCP (Model Context Protocol) server that provides AI models and automation tools with access to TheHive incident response platform. This server acts as a bridge between MCP clients (like AI assistants) and TheHive, allowing them to: - Retrieve and analyze security alerts - Access case information - Promote alerts to cases - Perform incident response operations 1. getthehivealerts - Retrieve a l

Nile MCP Server Learn more ↗️ A Model Context Protocol (MCP) server implementation for Nile database platform. This server allows LLM applications to interact with Nile platform through a standardized interface. - Database Management: Create, list, get details, and delete databases - Credential Management: Create and list database credentials - Region Management: List available regions for databas

A mcp server that bridges Dune Analytics data to AI agents. - getlatestresult: Fetch the latest results of a Dune query by ID. - runquery: Execute a Dune query by ID and retrieve results. - CSV Output: All results are returned as CSV-formatted strings for easy processing. - Python 3.10+ - A valid Dune Analytics API key (get one from Dune Analytics) To install Dune Analytics for Claude Desktop auto

A Model Context Protocol (MCP) server for Flipt, allowing AI assistants to interact with feature flags. - List, create, update, and delete namespaces, flags, segments, rules, and more - Evaluate flags for specific entities - Toggle flags on/off - Manage constraints, variants, distributions, and rollouts Once the server is running, it will: 1. Set up a STDIO transport for MCP communication 2. Regis

MCP server for management and troubleshooting of certificates and other resources managed by cert-manager. Claude Desktop config: Claude Desktop config for GKE clusters: This MCP server provides the following tools for interacting with cert-manager and Kubernetes resources: - listcertificates - List certificates within a namespace or across all namespaces, with options for filtering expired certif

This is a Model Context Protocol (MCP) server that provides AI assistants with access to Stadia Maps APIs for location services, geocoding, routing, and mapping capabilities. - Time information anywhere on earth - Current time - Time zone info (ID, UTC offset, and whether a special offset like daylight saving/summer time is in effect) - Geocoding - Address lookup - Place search (POIs like restaura

A Model Context Protocol (MCP) server for weather data, built with FastAPI and the MCP framework. This server provides various weather-related tools that can be used by AI assistants to retrieve current weather conditions, forecasts, air quality data, and more. - Current weather conditions - Weather forecasts (1-14 days) - Historical weather data - Weather alerts - Air quality information - Astron

A remote, hosted Model Context Protocol server that turns Claude, Cursor, Codex, VS Code Copilot, and ChatGPT into a full performance-testing operator. Create tests, launch load runs on managed cloud runners, read results, and get root-cause analysis — all in natural language, all authenticated with your own key. It's a remote, hosted server — nothing to install or run. Add this to your MCP client

Every multi-step tool workflow burns an LLM round-trip per step. The agent calls tool A, waits, sends the full context back to the model, gets a decision to call tool B, calls it, sends everything back again. Each round-trip re-transmits 2K–10K tokens on what is essentially plumbing. For a session with 20 two-step workflows, that's 20 wasted model calls, ~100K wasted tokens, and 20–40 seconds of a

MCP Server for Japanese corporate data — search companies, financials, patents, subsidies, and government statistics via official government APIs. 日本企業データMCPサーバー — gBizINFO・EDINET・e-Statの政府APIから企業情報をAIが直接取得できます。 You need API keys from the following government services: Add to your claudedesktopconfig.json: Add to .cursor/mcp.json: Once configured, you can ask your AI assistant: - "ソニーグループの企業情報を教えて

An MCP server that provides real-time trending tokens from DexScreener for BSC and Solana chains. - Tool: gettrendingpairs — fetch top trending pairs - Supports chain parameter: bsc (default) or solana - Returns both Markdown-formatted table (nice display in chat) and structured JSON array - Prompt: analyzetrendingtoken — ready-to-use analysis template for any token 1. Clone the Repository: 2. Ins

The MCP server calls the Shahnameh API behind the scenes, so you need to keep that running first. Please refer to the repository below for more information: Shahnameh API Also, please bear in mind that the API uses a database, which can be found here: Shahnameh Dataset Create and activate the virtual environment. For example, on macOS: Then run the inspector: این ریپازیتوری تنها یک بخش کوچک از پرو

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS. This integration enables prompt assisted project creation, layer loading, code execution and more. This project is strongly based on the BlenderMCP project by Siddharth Ahuja - Two-way communication: Connect Claude AI to QGIS through a socket-based server. - Proj

A Model Context Protocol (MCP) server that provides access to Swarmia's Export API. This server allows you to fetch various metrics and reports from Swarmia including pull request metrics, DORA metrics, investment balance reports, software capitalization reports, and effort reporting. This MCP server provides access to the following Swarmia Export API endpoints: - Pull Request Metrics - Cycle time

An MCP (Model Context Protocol) server that brings live prediction market data into AI coding environments like Cursor and Claude Desktop. - 🆓 No API Keys – Works out of the box, zero configuration - 📈 Multi-Platform – Polymarket, PredictIt, and Kalshi in one interface - ⚡ Real-time Data – Current odds and prices from live markets - 🎯 Easy Setup – One-click install in Cursor or simple manual se

An MCP server that delivers crypto ETF flow data to power AI agents' decision-making. - Unified Tool: The getetfflow tool dynamically fetches historical ETF flow data for BTC or ETH. - Markdown Table Output: Leverages pivot tables to present data with ETF tickers as columns, dates as rows, and a total column for summed flows. - Prompt Guidance: Includes a prompt (etfflowprompt) to streamline LLM i

The Terraform MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Terraform Registry APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development. - Dual Transport Support: Both Stdio and StreamableHTTP transports with configurable endpoints - Terraform Registry Integration: Direct integration with public Terra

An unofficial Model Context Protocol (MCP) server for interacting with PayPal Braintree payment processing services. This project is available under the MIT License with an Academic Citation Requirement. This means you can freely use, modify, and distribute the code, but any academic or scientific publication that uses this software must provide appropriate attribution. If you use this software in

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in a fast-paced market. - Feed Retrieval: Fetches latest entries from specified RSS feeds, formatting them as Markdown with plain-text summaries. - Keyword Filtering: Filters feeds by keyword in descriptions or categories. - OPML Support: Import feed list from a local OPML

Access comprehensive NBA statistics via Model Context Protocol A Model Context Protocol (MCP) server that provides access to live and historical NBA data including player stats, game scores, team information, and advanced analytics. 1. Install the server: 2. Add to your Claude Desktop config file: MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%/Claude/claude

An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation. - Python 3.6+ - SQLite database file (path specified via environment variable) Install all required dependencies: - fastmcp: Framewor

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。