pulsemcp verified Safe content atomic mcp-remote

Lightweight Cloudflare Worker

My MCP Worker provides a simple, Cloudflare Workers-based implementation that enables AI assistants to interact with custom APIs through the Model Context Protocol. Built using the workers-mcp package, it demonstrates a basic greeting functionality that can be extended to integrate with external services. The worker leverages Cloudflare's global network for low-latency responses and includes testing capabilities for both unit and integration approaches. Particularly useful for developers looking to create lightweight, scalable MCP servers without managing complex infrastructure.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/sivakumarl/my-mcp-worker
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Lightweight Cloudflare Worker 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"