"ClawdBot Worker - Bot or Worker Service Information" matching MCP servers:

A lightweight template for deploying stateless Model Context Protocol (MCP) servers on Cloudflare Workers using the Agents SDK. It provides a simple way to wrap MCP tools into Worker-compatible fetch handlers for serverless tool-calling capabilities.

MCP server that enables a coordinator AI agent to spawn, control, and supervise local coding agents with interactive gating for high-risk operations.

A universal Worker control plane exposed over MCP that lets a host configure OpenAI-compatible providers and API keys, discover model capabilities, and run, monitor, steer, or cancel Codex worker threads. It ships an app-only control panel so humans manage secrets and worker permissions while models call worker lifecycle tools.

Enables Claude Code to offload bulk tasks to cheap OpenRouter worker models via tiered model selection, parallel batch execution, daily budget caps, and cost logging.

Implements a distributed AI worker pattern over MCP, enabling clients to register as workers, poll for tasks, process prompts with AI, and submit results back to the server continuously.

Enables a Claude Desktop or Claude Code session to start, drive, and supervise interactive Claude Code CLI worker runs, including sending prompts, reading terminal output, waiting for completion, stopping runs, and managing settings and permissions.

Enables Claude Code to offload bulk reading and first drafts to a local Ollama model on your GPU, and to draft weekly devlogs from merged pull requests.

Enables deploying stateless MCP servers on Cloudflare Workers with minimal setup, using createMcpHandler to handle MCP protocol details and tool registration.

Enables delegating asynchronous coding tasks and DAG workflows to local Oh My Pi (OMP) CLI sub-agents, with topological orchestration, path isolation, and supervised resumption.

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.

Lets coding agents delegate bounded background tasks to OMP models via an MCP server, with job control, custom roles and agents.

Enables Codex to supervise one or more local Pi coding-agent workers through bounded task execution, state polling, steering, aborting, and listing. Tasks can run in a direct working directory or isolated Git worktree while Codex remains the planner and reviewer.

Enables STDIO-compatible AI assistants to queue coding work onto the official Google Antigravity CLI and track status, read reports or patches, query capabilities, or cancel running tasks without blocking. Supports trusted direct execution plus optional isolated or read-only modes depending on the platform.

Enables running a minimal, dependency-free Model Context Protocol server on Cloudflare Workers that exposes custom tools to MCP clients over plain POST, with optional token auth and rate limiting.

Enables running a stateless MCP server on Cloudflare Workers with minimal setup, exposing tools over the MCP protocol without persistent state.

Spawn headless OpenCode workers on cheap models to delegate expensive tool-using tasks to a fleet of parallel workers with isolated git worktrees.

Enables delegating bounded execution loops—such as failing test suites, large CI logs, build/diagnose/fix/rerun cycles, and routine repo exploration—to OpenCode, which inspects and iterates on the raw output internally. Returns only a compact structured result to the primary model, with inspect and fix modes and an escalation flag when a primary-model decision is required.

Enables AI agents to delegate simple text subtasks such as summarising, translating, classifying, extracting, and reformatting to free web AIs through the user's own Edge/Chrome browser, returning only plain-text answers to save the main model's context and tokens.

A Cloudflare Worker MCP server that exposes SIRAYA model discovery and invocation tools to MCP-capable agents.

A persistent 24/7 background daemon that aggregates all downstream MCP servers into one unified connection and layers on a real-time notification gateway so AI agents can receive events from X/Twitter, Slack, Email, and webhooks.