Mcp Server AI Agent Skills

Welcome to the Coin MCP Server – your one-stop shop for snagging the latest cryptocurrency prices faster than you can say "To the moon!" 🌙 Built with FastMCP and spiced up with zod for validation, this little server is here to fetch token prices from Bitget’s API like a trusty crypto butler. 🧑‍💼 中文文档 | English This project spins up a server that lets you query the current price of any cryptocur

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

Panther's Model Context Protocol (MCP) server provides functionality to: 1. Write and tune detections from your IDE 2. Interactively query security logs using natural language 3. Triage, comment, and resolve one or many alerts Scheduled Queries Global Helpers Data Models Users & Access Management Follow these steps to configure your API credentials and environment. 1. Create an API token in Panthe

This repository is an example of how to create a MCP server for Qdrant, a vector search engine. An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database. 1. qdrant-store - Store some information in the Qdrant database - information (string): Information to store - metadata (JSO

Multi-agent AI consultation framework for Claude Code via MCP. Get a second (and third) opinion from other LLMs when Claude Code alone isn't enough. Claude Code is powerful, but one brain can miss bugs, overlook edge cases, or get stuck in a local optimum. Critical decisions benefit from diverse perspectives. Concilium runs parallel consultations with multiple LLMs through standard MCP protocol. E

A Model Context Protocol (MCP) server for managing and interacting with the Flowcore Platform. If you're curious about how it works, you can check out our video, where we set it up and demonstrate what it can do. You can run this package directly using npx without installing it: Replace and with your Flowcore username and PAT (Personal Access Token). If you prefer to install the package globally:

This project implements a Model Context Protocol (MCP) server for interacting with the ZenML API. The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It acts like a "USB-C port for AI applications" - providing a standardized way to connect AI models to different data sources and tools. MCP follows a client-server

This project provides a set of tools for retrieving information about SonarQube projects using the FastMCP (Fast Model Context Protocol) framework. It serves as an interface to SonarQube, allowing users to programmatically access metrics, historical data, and component tree metrics for specified projects. This automated access enables reporting, analysis, and integration of SonarQube data with oth

📖 Blog Post: Learn more about this project in the detailed blog post: Telephony MCP Server for Agentic AI and Language Models This directory contains MCP (Model Context Protocol) Server tools for telephony operations, such as making voice calls and sending SMS messages using the Vonage API. These tools are designed to be integrated with Large Language Model (LLM) applications, enabling LLMs to pe

A Rust-based server designed to bridge the gap between a Wazuh Security Information and Event Management (SIEM) system and applications requiring contextual security data, specifically tailored for the Claude Desktop Integration using the Model Context Protocol (MCP). Modern AI assistants like Claude can benefit significantly from real-time context about the user's security environment. The Wazuh

A powerful AI-driven Security Operations Center (SOC) Text2SQL framework based MCP Server (Local and Remote) for converting natural language Prompts to SQL queries dynamically, with integrated security threat analysis and monitoring. - Text2SQL Conversion: Convert natural language queries to optimized SQL - Multiple Interfaces: Support for STDIO, SSE, and REST API - Security Threat Analysis: Built

Large Language Models (LLMs) have made incredible strides in code generation and developer productivity. However, they face a key limitation: they can only reliably use APIs and libraries they’ve seen during training. This creates a bottleneck for adopting new tools, SDKs, or internal APIs — LLMs simply don’t know how to use them effectively. While tools can be given source code access (when inter

An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant. The server implements five tools: - codelogic-method-impact: Pulls an impact assessment from the CodeLogic server's APIs for your code. - Takes the given "method" that you're working on and its associated "class". - codelogic-database-impact: Analyzes impacts between code and database entities. - T

This repository contains an MCP (Model Context Protocol) server (server.py) built using the fastmcp library. It interacts with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks. - server.py: The FastMCP server application. It defines resources, tools, and prompts for interacting with Kaggle. - .env.example: An example file for environ

The Unitree Go2 MCP Server is a server built on the Model Context Protocol (MCP) that enables users to control the Unitree Go2 robot using natural language commands interpreted by a Large Language Model (LLM). These commands are translated into ROS2 instructions, allowing the robot to perform corresponding actions. - Unitree Go2 robot - Ubuntu 20.04 or 22.04 - ROS2 environment : Humble(recommended

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

Corporate credit data for AI agents. Equity data is everywhere. Credit data isn't. There's no "Yahoo Finance for bonds." Corporate debt structures, guarantor chains, and covenant details are buried in SEC filings—scattered across 10-Ks, 8-Ks, credit agreements, and indentures. An AI agent trying to answer "which telecom companies have leverage above 5x?" would need to read dozens of filings, extra

This is a Model Context Protocol (MCP) server designed specifically for AI agents and LLM applications. It acts as a bridge between artificial intelligence systems and the comprehensive OpenStreetMap tagging knowledge base provided by the official @openstreetmap/id-tagging-schema library. Current Status: Production-ready MCP server, actively maintained and continuously improved. The service is dep

MEMCORD v3.0.2 (mcp server) This privacy-first, self-hosted MCP server helps you organize chat history, summarize messages, search across past chats with AI — and keeps everything secure and fully under your control. Never Lose Context Again Transform your Claude conversations into a searchable, organized knowledge base that grows with you - Core Benefits - Prerequisites - Quick Start - IDE Config

The Model Context Protocol (MCP) is an open standard that enables seamless integration between AI assistants and external tools and data sources. Think of it as a universal adapter that lets AI assistants like Claude, Cline, and Cursor connect to specialized analysis servers. This server enhances AI assistants with deep architectural analysis capabilities, enabling intelligent code generation, dec

next-devtools-mcp is a Model Context Protocol (MCP) server that provides Next.js development tools and utilities for coding agents like Claude and Cursor. - Node.js v20.19 or a newer latest maintenance LTS version - npm or pnpm Install the MCP server for all your coding agents: Add -y to skip the confirmation prompt and install to all detected agents already in use in the project directory. Add -g

A Model Context Protocol (MCP) server for shipment tracking api, package monitoring, and logistics management using the TrackMage API. Supports tracking across 1600+ carriers worldwide. - Carrier Support: Track packages across 1600+ carriers worldwide (full list) - Resources: Workspaces, shipments, orders, carriers, tracking statuses - Tools: Create shipments/orders, get shipment checkpoints, carr

Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown. Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages. This MCP package fetches web pages locally, strips noise, and converts content to clean Markdown while preserving links.

A comprehensive Model Context Protocol (MCP) server for the Starknet blockchain. This server provides AI agents with the ability to interact with Starknet networks, query blockchain data, manage wallets, and interact with smart contracts. - Supported Networks - Prerequisites - Installation - Server Configuration - API Reference - Resources - Usage with AI Assistants - Security Considerations - Pro