pulsemcp Safe content atomic mcp-remote

DRF Docs

Serves Django REST Framework API documentation via the Model Context Protocol, enabling AI coding agents to browse endpoints, schemas, and authentication methods. Provides tools for searching endpoints, generating request/response examples, and producing integration code in JavaScript, TypeScript, Python, and cURL. Supports drf-spectacular, drf-yasg, and DRF's built-in schema generation with both stdio and streamable-http transports.

Cognium trust score

50%

Tier

Unverified

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: security
Source: PulseMCP
Repository: github.com/abdulkhalek-1/drf-mcp-docs
Author type: human
Updated: 2026-08-31

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MCP

Resolve DRF Docs 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"