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Mcp Server AI Agent Skills

Browse AI agent skills tagged "Mcp Server". Find and install skills, MCP servers, and plugins for your AI coding assistant.

341 listings

Csl Core

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

8.0Chimera-Protocol/csl-core

PROJECT HAS BEEN SUNSET ⚠️

operative.sh's MCP Server launches a browser-use powered agent to autonomously execute and debug web apps directly in your code editor. - 🌐 Navigate your webapp using BrowserUse (2x faster with operative backend) - 📊 Capture network traffic - requests are intelligently filtered and returned into the context window - 🚨 Collect console errors - captures logs & errors - 🤖 Autonomous debugging - t

3.0Operative-Sh/web-eval-agent

Locust MCP Server

MCP Server

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

7.0QAInsights/locust-mcp-server

Weekly Weather MCP Server

MCP Server

A weather forecast MCP (Model Context Protocol) server providing 8-day global weather forecasts and current weather conditions using the OpenWeatherMap One Call API 3.0. Animation showing Claude Desktop processing the weather data from the MCP Server Claude Desktop showing a detailed weather forecast with lawn mowing recommendations - 🌍 Support for querying weather conditions anywhere in the worl

8.0rossshannon/weekly-weather-mcp

MCP OpenAPI Schema Explorer

MCP Server

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates. The primary goal of this project is to allow MCP clients (like Cline or Claude Desktop) to explore the structure and details of large OpenAPI specifications without needing to load the entire file into an LLM's context window. It achieves this

7.0kadykov/mcp-openapi-schema-explorer