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SushiMCP

SushiMCP is a model context protocol server designed to assist developers with delivering context to their AI IDE's. It's simple to use and massively improves the performance of base and premium LLM models when generating code. The easiest way to get started is by registering SushiMCP with your client using the default configuration:

Registering SushiMCP with an MCP Client

{
  "sushimcp": {
    "command": "npx",
    "args": [
      "-y",
      "@chriswhiterocks/sushimcp@latest",
      "--llms-txt-source",
      "cool_project:https://coolproject.dev/llms-full.txt",
      "--openapi-spec-source",
      "local_api:http://localhost:8787/api/v1/openapi.json"
    ]
  }
}

Related MCP server: @lex-tools/codebase-context-dumper

Advanced Configuration & Deeper Learning

Visit the SushiMCP Docs for more information on advanced configuration and deeper learning about SushiMCP.

Glama.ai Ratings

Author

Chris White: Email | GitHub | Discord | Personal Site | X | LinkedIn | Five9 Cyber

License

This project is licensed under the AGPL-3.0-or-later. See the license.txt file for details.

Available Tools

4 tools
fetch_llms_txtB

Fetches the content of one or more llms.txt URLs. Some llms.txt files compile a list of urls to other llms.txt file locations because listing their full documentation would bloat context. If the documentation you're looking for does not exist in the llms.txt, look for reference links to other llms.txt files and follow those.

Inputs: input (required).

fetch_openapi_specC

Fetches the content of one or more OpenAPI spec URLs.

Inputs: input (required).

list_llms_txt_sourcesA

This tool lists all available source urls where an llms.txt can be fetched. After reading the listed sources, use fetch_llms_txt to fetch any source that matches a technology in the instructions you received. Prefer llms.txt, but if llms.txt proves inadequate, check to see if other llms-full.txt or llms-mini.txt exist. When done, ask the user if they want to use other tools to search for documentation on any sources this tool could not find.

Inputs: no named parameters.

list_openapi_spec_sourcesB

This tool lists all available source urls where an OpenAPI spec can be fetched.

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    TDQS

    A3.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: fetch_llms_txt and fetch_openapi_spec retrieve content from URLs, while list_llms_txt_sources and list_openapi_spec_sources list available sources for those URLs. There is no overlap in functionality, and the descriptions clearly differentiate between fetching and listing operations for two distinct resource types (llms.txt and OpenAPI specs).

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case: fetch_llms_txt, fetch_openapi_spec, list_llms_txt_sources, and list_openapi_spec_sources. The naming is predictable and readable, with 'fetch' for retrieval actions and 'list' for source enumeration, maintaining uniformity throughout the set.

    Tool Count4/5

    With 4 tools, the count is reasonable for a server focused on fetching and listing documentation sources. It covers two resource types (llms.txt and OpenAPI specs) with complementary operations, but it might feel slightly thin if expanded to handle more documentation formats or additional actions like validation or processing. Overall, it's well-scoped for its apparent purpose.

    Completeness3/5

    The tool set provides basic fetch and list operations for llms.txt and OpenAPI specs, covering retrieval and source discovery. However, there are notable gaps: no tools for updating, deleting, or validating these resources, and no operations for other documentation formats mentioned in descriptions (e.g., llms-full.txt or llms-mini.txt). This limits the surface to read-only actions, which may cause agents to hit dead ends in more complex workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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