"How to schedule daily MCP server actions" matching MCP servers:

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.

Token-optimized MCP server that integrates Google Gemini CLI for AI-powered coding assistance with 43.8% token savings through progressive disclosure, supporting multi-turn conversations and multiple Gemini models.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Connects ChatGPT to Roblox Studio's built-in MCP, enabling natural-language reading and writing of game data, including executing Luau code and modifying scripts and instances.

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

Exposes the Grok Build CLI as MCP tools for Claude Code and other clients, enabling headless AI agents to perform tasks like code reviews, web research, and file operations with configurable permission levels.

Enables AI assistants to write and execute C# code directly inside Autodesk Civil 3D, providing full API access through code generation and execution.

Bridges Claude Desktop with Claude Code CLI to delegate complex coding tasks like creating React apps, building APIs, and debugging scripts while maintaining interaction through the Desktop interface.

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.

Enables MCP clients such as Claude Desktop or Cursor to inspect a coffee-shop sales database schema, validate SQL, and run guarded read-only queries. It supports natural-language questions by exposing tools for schema description, SQL checking, and safe query execution.

Integrates ElevenLabs Text-to-Speech capabilities with Cursor through the Model Context Protocol, allowing users to convert text to speech with selectable voices within the Cursor editor.

Enables agents to perform recorded, snapshot-evidenced computer-use and browser-use in a fresh, disposable VM, with interruptive actions judged by the agent.

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

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.

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.

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

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.

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 policy layer between ChatGPT and the official Codex MCP server, adding safety controls like read-only sessions, approval policies, and secret scanning for secure daily use.

A basic serverless MCP server example running on Netlify Functions using Express. Demonstrates how to deploy and run Model Context Protocol servers in a serverless environment.

Enables remote AI agents to read, patch, and (opt-in) execute commands in a local workspace, with all actions approved locally and fully audited.

A simple demonstration MCP server that provides a basic arithmetic tool for adding two numbers together, showcasing how to build custom MCP servers with input validation.

Enables MCP-compliant clients to run a personal AI copilot with agenda tracking, autonomous sandbox execution, ambient cue handling, fast reflex actions, and episodic memory.

Enables automated access to LeetCode's problems, contests, solutions, and public or authenticated user data across leetcode.com and leetcode.cn, with search, daily challenge, submission, notes, and progress tools.

A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, demonstrating how to deploy and access serverless functions with customized URLs.

A lightweight TypeScript-based MCP server that demonstrates how to build custom MCP tools by implementing a simple addition calculator. Serves as a starting point for building MCP-compatible tools.

A local MCP server that lets AI coding agents compile, run, and test Paper Minecraft plugins on a disposable Paper runtime, with restricted test actions and verifiable failure reports.

Enables trusted agents to run arbitrary Python code that directly invokes native March7thAssistant modules, classes, and functions for game automation such as farming, rewards, and daily tasks.

Enables controlling remote desktops over RDP and VNC while running persistent Python sessions, so variables survive across calls and screenshots, actions, and loops can be combined. Supports multiple named connections, each with an independent worker and input state.

A three-stage guardrail agent for LLM-powered coding assistants that reviews proposed actions before execution, blocking destructive commands and maintaining an audit trail.

A basic example MCP server deployed as a Netlify serverless function using Express. Demonstrates how to run Model Context Protocol servers in a serverless environment with proper routing configuration.

Enables automated access to LeetCode problems, solutions, contests, and public or authenticated user data across leetcode.com and leetcode.cn, supporting search, submissions, notes, and daily challenges.

Enables ChatGPT to read a personal Telegram account's folders and conversations, prepare drafts, and carry out delegated actions by writing and running JavaScript/TypeScript against the full mtcute SDK through a single MCP tool. Supports one account and one owner per installation, with code-and-2FA login and encrypted session storage.

A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, demonstrating how to deploy and access MCP functionality through customized URLs.

Enables an MCP client to connect to a running Blockland client to execute TorqueScript, inspect player state, control character movement and actions, and capture screenshots.

A demonstration tool that showcases potential security attack vectors against Model Control Protocol, illustrating how malicious plugins can exploit weaknesses in MCP architecture.

A demonstration MCP server built in TypeScript that shows how to implement stdio-based communication for integration with MCP clients. Serves as a template for building custom MCP servers with strong typing and maintainability.

Gives AI assistants deep read/write access to the Unreal Editor through 21 category tools covering 525+ actions, plus a YAML flow engine for multi-step workflows.

Enables AI chatbots to act like coding agents on your own computer by executing code, editing files, running terminal commands, and performing Git operations through a secure cloud bridge. Supports token-based pairing, path sandboxing, and configurable approval for destructive actions.

A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.