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GenPark AI Agent Skill - Milwaukee Tool M18 FUEL with ONE-KEY smart cordless hardware, BLE proximity tracking, torque calibration & jobsite lockout.

MCP server for analyzing local audio and video files with Google Gen AI, returning structured summaries, timelines, transcripts, and observations.

Enables LLMs to access and execute custom automation scripts from a dotfiles repository, including tools for JIRA, GitHub, Jenkins, and code review.

Autonomous recursive goal decomposition and continuous execution loop (AutoGPT style)

The official Splunk MCP Server is a Splunk-supported application that provides a standardized, secure, and scalable interface for connecting AI assistants, agents, and other intelligent systems with data in the Splunk platform. Available as a Splunkbase app (ID 7931), it runs within your Splunk instance and exposes an HTTP/SSE endpoint on the management port (8089) at `/services/mcp`. The server provides six core tools: `generate_spl` for converting natural language to SPL queries using AI, `run_splunk_query` for executing SPL searches with configurable time ranges and result limits, `get_splunk_info` for retrieving instance metadata, `get_indexes` and `get_index_info` for index discovery and metadata, and `get_saved_searches` for knowledge object discovery. All interactions respect existing Splunk role-based access control (RBAC), ensuring users can only access data their roles permit. Authentication uses encrypted bearer tokens generated within the MCP Server app, and the server supports both Splunk Enterprise (on-premises) and Splunk Cloud Platform deployments across versions 8.0 through 10.2. Clients connect using the `mcp-remote` npm package as a proxy, and administrators can enable or disable individual tools at the server level. The server is also available on the Azure Marketplace and AWS Marketplace for cloud deployments.

HTTP API server that exposes OpenClaw agent status for Tidbyt LED displays.

A basic MCP server for managing a todo list stored in a local JSON file, enabling task creation, completion, listing, and daily summary generation.

🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️

Governed administrative operations for Rails applications via MCP

This guide covers how to give Claude access to more than one Webflow workspace at a time, and why the "obvious" approach in the claude.ai / Claude Desktop chat app doesn't work.

MCP Server for AgentShield — Smart contract verification, wallet monitoring & threat detection for AI agents. Works with Claude, Cursor, and any MCP client.

mcp-daemonize is a server designed to help AI agents like Claude Code and Cline manage long-running processes (daemons) during development. Created by mackee, it solves the problem of AI agents being unable to start, monitor, and debug development servers that need to run continuously. The implementation provides tools to start daemons without waiting for completion, stop running processes, view real-time logs, and list active daemons. It's particularly valuable for autonomous coding workflows where AI agents need to manage development servers (like Vite or Next.js), monitor their output, and perform automated debugging without requiring users to manually handle these processes in separate terminals.

Provides real, official public holiday data for ~100 countries with tools to list holidays for a year and check if a specific date is a holiday. Free, no API key required, powered by Nager.Date.

MCP server that enables AI agents to search domain, IP, port, service, title, ICP, server header, and component assets via the SCANDOMAIN API using Quake-style DSL queries.

Portable AI memory vault — save memories, skills, and configs to a local database and share them across Claude Desktop, Claude Code, Cursor, Cline, and more.

Enables LLMs to generate images via MCP by calling AI models from providers like SiliconFlow, OpenAI, or custom APIs, with tools for image generation and model listing.

BlogSEO for Cursor, Claude Code and Codex: the MCP server plus SEO skills, packaged as an Agent Plugin.

Use when managing BangunAI Blog content, automating blog workflows, and writing MDX articles with BangunAI.

A collection about MCP

Control Aseprite with AI via MCP for sprite, layer, frame, palette, and export workflows with Godot support