Model Context Protocol AI Agent Skills

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

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

This is a Model Context Protocol (MCP) server that supports remote MCP connections, with Strava OAuth built-in. It allows users to connect to your MCP server by signing in with their Strava account. The MCP server (powered by Cloudflare Workers) serves two roles: - Acts as an OAuth Server for your MCP clients - Acts as an OAuth Client for Strava's OAuth services This project serves as a reference

MCP server for the musclesworked.com exercise-to-muscle mapping API. Connects Claude Desktop, Claude Code, Cursor, and other MCP clients to 856 exercises and 65 muscles with detailed primary/secondary/stabilizer activation data across 14 muscle groups. Get an API key at musclesworked.com/dashboard. Add to your claudedesktopconfig.json: Or add to .mcp.json: Add to .cursor/mcp.json: - "What muscles

Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.

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

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 Brave Search API, providing, Web Search, Local Points of Interest Search, Video Search, Image Search and News Search capabilities - Web Search: Perform a regular search on the web - Image Search: Search the web for images. - News Search: Search the web for news - Video Search: Search the web for videos - Local Points of Interest Search: Search for l

RevolutionAI is an MCP-native freelance marketplace built for SaaS founders who live in their AI tools. Building a startup means constantly context-switching: - Need a dev? → Open Upwork, post job, wait days - Need a designer? → Jump to Dribbble or Fiverr - Need a marketer? → LinkedIn, emails, calls Every switch kills your flow. You're supposed to be building, not bouncing between 10 tabs. Stay in

MCP Assistant Web-based MCP client for remote servers and AI tool workflows. MCP Assistant addresses common pain points when working with the Model Context Protocol: - Connect to remote MCP servers from one interface - Manage multiple MCP servers from a single interface - Handle OAuth 2.0 and OpenID Connect flows without manual token juggling - Explore available tools and run them directly from th

English | 日本語 mcp-alphabanana is a Model Context Protocol (MCP) server for generating image assets with Google Gemini. It is built for MCP-compatible clients and agent workflows that need fast image generation, transparent outputs, reference-image guidance, and flexible delivery formats. Keywords: MCP server, Model Context Protocol, Gemini AI, image generation, FastMCP Key capabilities: - Ultra-fa

A Model Context Protocol (MCP) server for the Mailchimp Marketing API. 53 tools to query and manage your Mailchimp account directly from Claude. Uses the Mailchimp Marketing API via requests. Not based on the official mailchimp-marketing-python client. I hit too many issues with it so I went with raw HTTP calls instead. - Campaigns - List, search, and inspect campaign details - Reports - Open/clic

AI can build products. But it still doesn't talk to users. Usercall MCP lets AI agents run user interviews via voice calls and return structured insights with themes and verbatim quotes. Works with Claude Desktop, Cursor, and any MCP-compatible client. AI agents can now build and ship products extremely quickly. But most agents still rely on synthetic feedback or assumptions about users. Usercall

knowledge-to-action-mcp is an MCP server for people whose real project context lives in notes, decisions, roadmaps, and meeting docs, not just code. Most Obsidian MCP servers stop at "read a note" or "search a vault." This one goes further: That means an MCP client can move from: If you work out of Obsidian, your important context is usually spread across: - roadmap notes - meeting notes - decisio

Instead of manually checking the Rybbit dashboard, let your AI assistant query analytics data directly: - "How many users visited the site today?" - "Show me the top pages by bounce rate this week" - "What errors occurred in the last hour?" - "Show user journey from homepage to checkout" - "Compare browser usage between mobile and desktop" Or clone and build: Add to your ~/.claude/settings.json or

An MCP server that exposes Wireshark/tshark capabilities to AI tools and IDEs. Capture live traffic, analyze .pcap files, apply display filters, follow TCP/UDP streams, and export to JSON — all via Claude Desktop, VS Code Copilot, or any MCP-compatible client. - Python 3.10+ - Wireshark/tshark installed and on PATH Linux: add your user to the wireshark group for non-root capture: Or with uv: ~/Lib

A TypeScript Model Context Protocol (MCP) server that exposes Google Maps Platform APIs as tools for LLMs. Gives AI assistants real, structured map data — directions, transit routes, place search, address validation, photos, elevation, and more — instead of guessing from training data. Works with Claude Desktop and any other MCP-compatible client. 15 tools across three categories: Transport: HTTP

Scaffolds a new WebMCP tool component using useMcpTool with Zod schema, handler, annotations, and wires it into the WebMCPProvider tree. Use when the user wants to expose functionality as an MCP tool, make something callable by AI, add a new tool, or create an AI-accessible action.

13 production-ready tools for AI agents — one API key, zero complexity. Docs · Playground · OpenAPI Spec · npm Building AI agents that interact with the real world? You'd normally need: No credit card. No setup. 13 endpoints ready to use. Use Agent Toolbox as an MCP server in Claude Desktop, Cursor, or Windsurf: Add to Claude Desktop config: See MCP Quickstart Guide for full setup instructions. Al

- Fixed reply threading — auto-resolves In-Reply-To and References headers so email replies land in the correct thread instead of creating orphaned messages (upstream PR 91, still pending) - Send-as alias support — optional from parameter for multi-identity email management (send from any configured Gmail alias) - Reply-all tool — replyall automatically fetches the original email, builds To/CC rec

A Model Context Protocol (MCP) server implementation for running k6 load tests. - Simple integration with Model Context Protocol framework - Support for custom test durations and virtual users (VUs) - Easy-to-use API for running k6 load tests - Configurable through environment variables - Real-time test execution output Before you begin, ensure you have the following installed: - Python 3.12 or hi

- A minimal server/client application implementation utilizing the Model Context Protocol (MCP) and Azure OpenAI. 1. The MCP server is built with FastMCP. 2. Playwright is an an open source, end to end testing framework by Microsoft for testing your modern web applications. 3. The MCP response about tools will be converted to the OpenAI function calling format. 4. The bridge that converts the MCP

This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities. - extract-web-data - extract structured data from a given 'url', using 'prompt' as a description of actual data and its fields to extract. To use AgentQL MCP Server to extract data from web pages, you need to install it via npm, get an API key from our Dev Portal, and configure it in your favorite