"Mock Service Worker" matching MCP servers:

Enables Codex to delegate bulk code reading, patching, and testing to an async worker using cheaper AI models, while receiving compact results.

Enables Codex to offload expensive code reading, editing, and checking to a worker agent via Claude Code, supporting async jobs and long-running tasks.

An MCP bridge that lets Codex supervise Reasonix as an implementation worker in an isolated Git worktree, ensuring safe delegation with scoped writes and sandboxed execution.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

An MCP server that enables a supervising OpenAI Codex agent to delegate bounded implementation tasks to isolated worker threads with enforced file scopes and verification, optionally running in parallel git worktrees.

Safe MCP server for math operations: evaluate, simplify, and differentiate expressions with configurable precision, using a sandboxed worker thread and strict AST allowlist to block dangerous input.

A foundational project for quickly developing Model Context Protocol servers using the TypeScript SDK and Zod for schema validation. It features pre-implemented examples for tools like a calculator and greeting service, along with templates for managing dynamic resources.

An MCP server that lets Claude query a mock business SQL database in plain language through read-only tools, with server-side guardrails that enforce SELECT-only queries and block access to sensitive payment data.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

A Windows-first, dual-mode MCP bridge that delegates bounded work to Hermes Agent and a local Qwen model via an OpenAI-compatible endpoint, providing restricted batch or trusted full execution modes.

An MCP server implementation that helps Claude remember and learn from programming errors by storing, retrieving, and finding similar errors with full context.

AI code generation service for KPC component library that solves hallucination problems by providing accurate component APIs, validation rules, and usage examples.

An MCP server that enables LLMs to act as an interpreter for the Relative service, providing tools for navigating, reading, editing, executing, and managing models through natural language.

An MCP service that provides AI-powered development workflow tools including specification generation, code review, and project management with support for both OpenAI and Ollama models.

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.

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 backend service for executing transactions on Binance Smart Chain, enabling secure transfers of BNB and BEP-20 tokens, smart contract interactions, and token creation through structured MCP integration.

A sample MCP server implementation in TypeScript that demonstrates tool creation with a mock AI completion endpoint. Provides a basic example for developers to learn MCP server development patterns and tool registration.

A Model Context Protocol service that enables AI assistants to search, retrieve, analyze, and export data from Heptabase backups.

A package that connects Claude Desktop and other MCP clients to Cloudflare Workers, enabling custom functionality to be accessed via natural language through the Model Context Protocol.