"Information about Cloudflare Workers" matching MCP servers:

A demonstration project that uses Cloudflare Workers MCP to create custom AI tools that can be integrated with Claude, Cursor, and other AI assistants supporting the Model Context Protocol.

Data Workers is the Autonomous Agentic Data Platform: reduce your data ops to zero, with agents that run the whole data platform (pipelines, quality, incidents, schema change, catalog, governance) through MCP in Claude Code, Codex, Cursor and any MCP client. Learn more at dataworkers.io.

A lightweight MCP server for managing DNS records, purging cache, and interacting with the Cloudflare API through natural language commands.

Enables AI assistants to perform intent routing, retrieval reranking, and batch semantic judgments on Cloudflare Workers, returning structured answers with confidence scores instead of generated prose.

A Model Context Protocol server implementation that runs on Cloudflare Workers with OAuth login, allowing Claude and other AI models to access tools via the MCP standard.

A serverless implementation of Model Context Protocol on Cloudflare Workers that enables connecting AI assistants like Claude to custom tools without authentication.

A Model Context Protocol server that enables remote connections with GitHub authentication, allowing users to build applications that leverage MCP tools with secure OAuth-based access control.

Exposes local OpenCode instances as remote MCP servers for Claude and ChatGPT, enabling terminal access, session management, and interactive human-in-the-loop workflows. It simplifies deployment for local machines using Cloudflare Tunnels to provide secure public connectivity and OAuth support.

Lets MCP clients ask typed questions — yes/no, choice, or score — about structured state, including images, and receive calibrated probabilities from System One decision models such as TypeSafe Jev and Cloudflare Clef. Supports TypeSafe, OpenRouter, and local providers selectable per request, with input validation and cost reporting.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

A host-agnostic model council that routes tasks across multiple AI workers (MCP, CLI, API) and returns one unified answer.

A Windows-native MCP gateway that lets any MCP-capable host orchestrate local coding-agent CLIs as external workers.

Enables Codex to orchestrate persistent Pi RPC workers over a local MCP server, spawning dev, explore and review agents in isolated git worktrees or in place. Codex can inspect status, activity, token/cost metrics and real diffs, then merge only the accepted work and clean up idle workers.

Enables agents to delegate tasks to human/AI workers on TaskMarket by listing, inspecting, and submitting work, while leaving spending flows to the user-authorized CLI.

Exposes the Mundane agent-to-human marketplace as MCP tools, enabling agents to post tasks, search workers, and make offers.

Enables multi-worker autonomous agent orchestration: decompose complex tasks, run parallel workers, auto-review, and generate follow-up tasks via the Model Context Protocol.

A deterministic MCP server that executes 10-step topology pipelines on Cloudflare Workers, providing structured progress snapshots and adaptive JSON templates for AI agents.

Open Task Relay provides free, bounded public-good tasks that autonomous AI agents can discover, complete, submit, and independently verify. Its public TypeScript source runs locally with a Cloudflare Workers-compatible runtime and SQLite/D1, exposing MCP over HTTP.

Kody is an MCP server that gives AI agents a portable home for memory, keys, code, and automations on Cloudflare Workers. It offers a compact tool surface with powerful search and execute flows for multi-user personal assistant capabilities.

MCP server for Web3 AI agents enabling autonomous smart contract engineering on Robinhood EVM and Solana, with Cloudflare One portals for efficient token usage and edge execution.