"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.

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.

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

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.

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.

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.

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.

A command-line tool that transforms any OpenAPI service into a Model Context Protocol (MCP) server, enabling seamless integration with AI agents and tools that support the MCP specification.

Enables running user-supplied scripts inside resource-limited, network-isolated Docker containers built from human-reviewed Dockerfiles, with jobs driven by an outbound-only worker.

Expose any API to an LLM agent as two sandboxed MCP tools (search + execute) on Cloudflare Workers.

Turns bounded coding tasks into reviewable Git diffs using isolated worktrees, configurable worker models, and test execution.

Provides AI agents access to over 200 AI models and 10 service categories via a unified, metered API with transparent per-call pricing.