"How to create Grafana dashboards" matching MCP servers:

Enables agents to dynamically create, edit, call, and persist Python tools across sessions.

A demonstration server that reveals security risks by accessing sensitive environment variables, illustrating how MCP tools can potentially leak user data without explicit consent.

Enables natural language control of AutoCAD LT through AutoLISP code generation and execution, allowing users to create engineering drawings with conversational prompts.

Enables AI models to dynamically create and execute their own custom tools through a meta-function architecture, supporting JavaScript, Python, and Shell runtimes with sandboxed security and human approval flows.

MCP Server for the Peacock extension for VS Code (https://peacockcode.dev), coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.

A powerful AI-driven tool that helps developers create beautiful, modern UI components instantly through natural language descriptions.

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server for integrating with various LLM clients like Claude Desktop.

Enables execution of Go code in the Go Playground sandbox and generation of shareable URLs for code snippets. Provides tools to run Go code, share code via URLs, or perform both operations simultaneously.

MCP server enabling AI agents to programmatically connect to and control Apache Superset instances, allowing users to manage dashboards, charts, databases, datasets, and run SQL queries through natural language interactions.

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server integrating with various LLM clients.

A MCP server for managing and storing code snippets in various programming languages, allowing users to create, list, and delete snippets via a standardized interface.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

An experimental server implementing Model Context Protocol to automate website deployments to 1Panel servers, allowing users to create websites and upload static files through natural language commands.

An MCP server that executes tox commands to run Python tests within a project using pytest, allowing users to run all tests or specific test groups, files, cases, or directories.

Enables code agents to interact with Netlify services through the Model Context Protocol, allowing them to create, build, deploy, and manage Netlify resources using natural language prompts.

A Model Context Protocol server that provides tools for code modification and generation via Large Language Models, allowing users to create, modify, rewrite, and delete files using structured XML instructions.

Enables AI coding agents to manage cloud containers, create and edit files, run commands, and deploy projects directly.

Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.

Generates project specifications and file structures using Claude AI through MCP integration. Enables users to describe project ideas and automatically create corresponding documentation and project files.

A framework to use with AI to easily create a server for any service. Just drop the API Documentation in it and ask to create the MCP.

A demonstration MCP server that provides a simple addition tool for learning how to create and deploy servers following the Model-Context-Protocol specification. Serves as a basic example for developers getting started with MCP server development.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

A vulnerable MCP server implementation that demonstrates how poor coding practices can lead to security issues like Remote Code Execution, designed for educational purposes to add numbers.

A tool that generates MCP servers for Smithery with Cursor IDE integration, allowing users to quickly create servers from templates such as Basic, Web Search, or Database interactions.

This MCP server integrates AI assistants with Unity Editor, allowing them to create scenes, generate scripts, simulate input, and automate workflows using 91 built-in tools.

AI-powered command execution and tool plugin framework with secure Python evaluation, knowledge management, and web dashboards.

Enables AI assistants to execute R code, create visualizations, analyze data, and manage packages through a local Rscript CLI.

Enables LLM clients to query, transform, and create design data in design files through a plugin connection, supporting design-to-design, code-to-design, and design-to-code workflows.

A Model Context Protocol (MCP) server that converts LaTeX mathematical expressions to MathML format.

A CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.