SushiMCP
SushiMCP is a Model Context Protocol server designed to assist developers by delivering documentation context to AI IDEs. Developed by Chris White, it specializes in fetching and serving llms.txt documentation from various technology sources, with built-in tools for listing available documentation sources and retrieving their content. The implementation supports both stdio and SSE transport methods, features domain access controls for security, and includes a comprehensive default collection of documentation sources covering popular frameworks and libraries. SushiMCP significantly improves the performance of both base and premium LLM models when generating code by providing relevant technical documentation context on demand.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/maverickg59/sushimcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve SushiMCP 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.