Cloudflare Workers
This MCP implementation, developed by geelen, enables AI assistants to interact with Cloudflare Workers through a standardized interface. It provides both CLI tooling for setup and in-Worker logic for handling requests, allowing developers to easily create custom Worker-based APIs accessible to AI systems. The implementation stands out by leveraging Cloudflare's global network and serverless platform, offering low-latency access to custom functionality. By connecting AI capabilities with Cloudflare's edge computing infrastructure, this tool empowers AI assistants to perform tasks like data processing, API integrations, or custom calculations at scale. It is particularly useful for applications requiring distributed computing power, real-time data manipulation, or any scenario where an AI system needs to execute custom logic close to the end user.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/geelen/workers-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Cloudflare Workers from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.