SushiMCP

by maverickg59

8 stars

300 downloads

Not rated

GitHub Website

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About

SushiMCP is a dev tools MCP that serves context on a roll.

Details

Author: maverickg59
GitHub stars: 8
Downloads: 300
Categories: Other

- Simple to configure and register with any MCP client.
- Improves code generation for both base and premium LLM models.
- Delivers custom context via --llms-txt-source and --openapi-spec-source.
- Leverages the standard Model Context Protocol for interoperability.
- Open source under the AGPL‑3.0‑or‑later license.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name SushiMCP

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

From the repository

The easiest way is to register SushiMCP with your MCP client using the default configuration via npx. The required arguments are --llms-txt-source (specifying a name and URL) and --openapi-spec-source (specifying a name and URL). For advanced configuration and deeper learning, consult the SushiMCP documentation at docs.sushimcp.com.

`list_llms_txt_sources`

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.

`list_openapi_spec_sources`

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

`fetch_llms_txt`

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.

`fetch_openapi_spec`

Fetches the content of one or more OpenAPI spec URLs.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "sushimcp": {
            "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"
                ]
            }
        }
    }
}

McpServers

{
    "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"
        ]
    }
}

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"
    ]
  }
}

Advanced Configuration & Deeper Learning

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

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License

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

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SushiMCP

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

`list_llms_txt_sources`

`list_openapi_spec_sources`

`fetch_llms_txt`

`fetch_openapi_spec`

Claude Desktop / Cursor

McpServers

SushiMCP

Registering SushiMCP with an MCP Client

Advanced Configuration & Deeper Learning

Glama.ai Ratings

Author

License

Install

About

Details

Jump to

Setting up with Highlight

From the repository

list_llms_txt_sources

list_openapi_spec_sources

fetch_llms_txt

fetch_openapi_spec

Claude Desktop / Cursor

McpServers

SushiMCP

Registering SushiMCP with an MCP Client

Advanced Configuration & Deeper Learning

Glama.ai Ratings

Author

License

Install

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`list_llms_txt_sources`

`list_openapi_spec_sources`

`fetch_llms_txt`

`fetch_openapi_spec`