Mcp Server AI Agent Skills

MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time. It features a modern desktop UI built with Electron for easy monitoring and management. Currently, MCP-Dandan is listed in well-known MCP-related open-source collections and can be found in the following repositories: - Awesome MCP Servers – Security -

The is a remote MCP server that wraps the TripGo API and provides the following tools: - tripgo-locations: Retrieve transport-related locations - tripgo-departures: Departures from a specific public transport stop - tripgo-routing: Mixed and multi-modal trip planning - tripgo-get-trip-url: Get the URL of a trip previously calculated using the tripgo-routing tool The MCP server is deployed on Cloud

日本語版 README はこちら Translation quality evaluation MCP Server powered by xCOMET (eXplainable COMET). xCOMET MCP Server provides AI agents with the ability to evaluate machine translation quality. It integrates with the xCOMET model from Unbabel to provide: - Quality Scoring: Scores between 0-1 indicating translation quality - Error Detection: Identifies error spans with severity levels (minor/major/c

The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. - Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any reposi

CSL-Core (Chimera Specification Language) is a deterministic safety layer for AI agents. Write rules in .csl files, verify them mathematically with Z3, enforce them at runtime — outside the model. The LLM never sees the rules. It simply cannot violate them. Originally built for Project Chimera, now open-source for any AI system. This doesn't work. LLMs can be prompt-injected, rules are probabilist

A Model Context Protocol (MCP) server that provides access to the full Massive.com financial data API through an LLM-friendly interface. Rather than exposing one tool per endpoint, this server gives the LLM four composable tools — search, docs, call, and query — that cover the entire Massive.com API surface. Data can be stored in-memory as DataFrames, queried with SQL, and enriched with built-in f

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs. This implementation provides schema introspection and query execution capabilities, allowing models to discover and use GraphQL APIs dynamically. Run mcp-graphql with the correct endpoint, it will automatically try to introspect your queries. - graphql-schema: The server exposes the GraphQL schema as a resource that c

Author: Syncfusion Homepage: https://boldsign.com An MCP server designed to facilitate interaction between Large Language Models (LLMs) and the BoldSign API. The Model Context Protocol (MCP) extends LLM capabilities, enabling them to act as agents when connecting with external systems. This project contains various tools that interact with the BoldSign API to manage templates and documents for you

An integration that allows Claude Desktop to interact with Spotify using the Model Context Protocol (MCP). - Spotify authentication - Search for tracks, albums, artists, and playlists - Playback control (play, pause, next, previous) - Create and manage playlists - Get personalized recommendations - Access user's top played tracks over different time periods - Node.js 16 or higher - Spotify account

MCP server to look up domain names via rdap(1) and then whois(1). - Checkout the repo - build it: go build ./... - Point your MCP client at the binary:

mcp-log-proxy can be used to see the messages to and from a MCP client and a MCP server using a Web interface. Currently, it only supports the STDIO interface. All running mcp-log-proxy processes will register themselves in .mcp-log-proxy-instances.json located in your home directory. On the web page, you can use the selector to switch to another proxy instance. mcp-log-proxy requires one argument

An MCP server that enables AI assistants like Claude to interact with Odoo ERP systems. Access business data, search records, create new entries, update existing data, and manage your Odoo instance through natural language. Works with any Odoo instance! Use YOLO mode for quick testing and demos with any standard Odoo installation. For enterprise security, access controls, and production use, insta

MCP Server for the Giphy API, enabling AI models to search, retrieve, and utilize GIFs from Giphy. - Content Filtering: Filter results by rating (G, PG, PG-13, R) to ensure appropriate content - Optimized Response Format: Response data optimized for AI model consumption - Multiple Search Methods: Support for query-based, random, and trending GIF retrieval - Comprehensive Metadata: Each GIF comes w

Jotdown is a Model Context Protocol (MCP) server that allows large language models (LLMs) to interact with Notion and also generate Markdown Books. It provides two primary tools for LLMs: - 👉 Notion Integration: Create or update pages in Notion with content generated by the LLM. - 👉 Mdbook Generation: Generate a mdbook from content and manage the structure. Jotdown enables LLMs to seamlessly int

An adaptive web scraping framework that handles everything from a single request to a full-scale crawl. Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems like Cloudflare Turnstile.

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows. - "base-url":"http://localhost/v1" The base URL of the Dify platform api server url. - "command":"mcp-difyworkflow-server" You can specify the absolute path for the compiled binary, or create a symbolic link wit

An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI. - ✅ FastAPI/FastMCP backend for remote MCP calls through API endpoints or SSE - 🔄 MCP integration for command handling - 🔐 Thread-safe session management To install the dependencies, run: Start the FastAPI server with: The server will start at http://localhost:8080. Open mcp-api-client.

A Model Context Protocol (MCP) server that enables AI assistants to get human input when needed. This tool creates tasks on Amazon Mechanical Turk that let real humans answer questions from AI systems. While primarily a proof-of-concept, it demonstrates how to build human-in-the-loop AI systems using the MCP standard. See limitations for current constraints. - Node.js 16+ - AWS credentials with MT

MCP server to let LLM take full control on your device by providing screen automation toolkit for controlling and interacting with graphical user interfaces. Good for automation, education and having fun. - 📷 Screen capture and analysis - 🖱️ Mouse control (clicking, positioning) - ⌨️ Keyboard input (typing, key presses, hotkeys) 0. Install python 3.12 1. Clone the repository: 2. create virtiual

Time MCP Server A Model Context Protocol server that enables AI assistants to interact with time The Time MCP Server is a Model Context Protocol (MCP) server that provides AI assistants and other MCP clients with standardized tools to perform time and date-related operations. This server acts as a bridge between AI tools and a robust time-handling backend, allowing for complex time manipulations t

MCP (Model Context Protocol) server for Nanana AI image generation service powered by Google Gemini's nano banana model. This server allows Claude Desktop and other MCP clients to generate and transform images using nano banana's powerful image generation capabilities. 1. Visit nanana.app and sign in 2. Go to your account dashboard 3. Generate an API token in the "API Access" section 4. Copy and s

Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB. - Gets the list of team from one of the following leagues NBA (National Basketball Association), MLB (Major League Baseball), NFL (National Football League) - league (enum ['NBA', 'NFL', 'MLB']): The sports league to get teams for - getplayers - Gets the

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple