Mcp AI Agent Skills

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).

Agent Skill Loader is a Model Context Protocol (MCP) server that acts as a bridge between your static Claude Code Skills library and dynamic AI agents (like Antigravity, Claude Desktop, or Cursor). It allows agents to "learn" skills on demand without requiring you to manually copy files into every project. Discovery: listskills - Scans your configured skill directories. Dynamic Learning: readskill

The TikTok MCP integrates TikTok access into Claude AI and other apps via TikNeuron. This TikTok MCP allows you to - analyze TikTok videos to determine virality factors - get content from TikTok videos - chat with TikTok videos Description: Get the subtitle (content) for a TikTok video url. This is used for getting the subtitle, content or context for a TikTok video. If no language code is provide

IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDA's API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida_* modules (50+), idautils iterators, and common patterns.

Advanced search and retrieval for web crawler data. With mcp-server-webcrawl, your AI client filters and analyzes web content under your direction or autonomously. The server includes a fulltext search interface with boolean support, and resource filtering by type, HTTP status, and more. mcp-server-webcrawl provides the LLM a complete menu with which to search, and works with a variety of web craw

Token Optimizer MCP is a Model Context Protocol (MCP) server that reduces context window usage by 60-90% through intelligent caching, compression, and smart tool replacements. By storing compressed content externally in SQLite and providing optimized alternatives to standard tools, the server helps you maximize your available context window. Production Results: 60-90% token reduction across 38,000

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

This plugin brings S&P Global's financial data and analytics directly into your AI workflow via a set of pre-built skills. It is designed for financial professionals who want AI-assisted research, analysis, and document generation grounded in authoritative S&P Global data. The skills are built on open standards (MCP) and are designed to work across AI platforms and agent frameworks. While the plug

Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and actionable feedback.

84 AI-powered tools connecting Claude, Cursor, and other AI assistants directly to your Godot editor. Real-time bidirectional communication. No file polling. No CLI subprocess spawning. - Full Undo/Redo - All mutations go through Godot's UndoRedo system - Smart Type Parsing - "Vector2(100,200)", "ff0000", "Color(1,0,0)" auto-converted - Auto-Reconnect - Exponential backoff (1s -> 60s max) - Heartb

ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data through the ScrapeBadger API. With this MCP server, your AI can: - Get Twitter user profiles, followers, and f

Enterprise-grade Chrome automation for AI agents with compliance-ready logging Enterprise Features • Compliance Logging • Security Features • Quick Start • Docker Deploy Built for corporate environments where security, compliance, and auditability are non-negotiable. SIEM-ready logging in industry-standard formats. Every tool execution, credential access, and security event is logged. - authentica

An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data. - osm-mcp-server: The main server, available for public use. This server provides LLMs with tools to interact with OpenStreetMap data, enabling location-based applications to: - Geocode addresses and place names to coordinates - Reverse geocode coordinates to addresses - Find

Reddit automation Skills — directly uses your logged-in browser and real account, operating Reddit as an ordinary user. Supports OpenClaw and all AI Agent platforms compatible with the SKILL.md format (e.g. Claude Code). Supports chained operations — you can give compound natural-language instructions and the Agent will automatically chain multiple skills. For example: The Agent will execute: sear

Manage WhatsApp channel access control — approve or deny pairings, add or remove users from the allowlist, set DM policy (pairing/allowlist/disabled), and configure group access. Use when the user asks to pair a contact, approve someone, check who's allowed, revoke access, lock down the channel, or change WhatsApp policy. Triggers on /whatsapp:access, "pair", "approve", "allowlist", "who can message", "lock down whatsapp".

MCP Server for the Mattermost API, enabling Claude and other MCP clients to interact with Mattermost workspaces. The server supports multiple configuration methods with the following priority (highest to lowest): 1. CLI arguments (--url, --token, --team-id) 2. Environment variables (MATTERMOSTURL, MATTERMOSTTOKEN, MATTERMOSTTEAMID) 3. config.local.json (for local overrides, gitignored) 4. config.j

Generate mermaid diagram and chart with AI MCP dynamically. Also you can use: - mcp-server-chart to generate chart, graph, map. - Infographic to generate infographic, such as Timeline, Comparison, List, Process and so on. - Fully support all features and syntax of Mermaid. - Support configuration of backgroundColor and theme, enabling large AI models to output rich style configurations. - Support

This is a Model Context Protocol (MCP) server that enables scalable mobile automation, development through a platform-agnostic interface, eliminating the need for distinct iOS or Android knowledge. You can run it on emulators, simulators, and real devices (iOS and Android). This server allows Agents and LLMs to interact with native iOS/Android applications and devices through structured accessibil

Convert any source code repository into a searchable knowledge base with automatic chunking, embedding generation, and intelligent search capabilities. Now with MCP (Model Context Protocol) support for Claude Code and Cursor integration! 📦 Now available on npm! Install with: npm install -g @vezlo/src-to-kb After installation, you'll have access to these commands: - src-to-kb - Generate knowledge

App Store Connect MCP Server A Model Context Protocol server for the App Store Connect API. Manage apps, builds, TestFlight, reviews, and more — directly from Claude. Works with: asc-mcp is a Swift-based MCP server that bridges Claude (or any MCP-compatible host) with the App Store Connect API. It exposes 208 tools across 25 workers, enabling you to automate your entire iOS/macOS release workflow

Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv

An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to query and analyze iMessage conversations with proper phone number validation and attachment handling. - macOS (required for iMessage database access) - Python 3.6+ Install all required dependencies: - fa

A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments. - Simple integration with Model Context Protocol framework - Support for headless and UI modes - Configurable test parameters (users, spawn rate, runtime) - Easy-to-use API for running Locust load

mcp-name: io.github.aikts/yandex-tracker-mcp A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance. Documentation in Russian is available here / Документац