SushiMCP
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SushiMCP
SushiMCP 是一个模型上下文协议服务器,旨在帮助开发者将上下文传递到他们的 AI IDE。它使用简单,并显著提升了基础和高级 LLM 模型生成代码的性能。最简单的入门方法是使用默认配置将 SushiMCP 注册到您的客户端:
使用 MCP 客户端注册 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"
]
}
}Related MCP server: @lex-tools/codebase-context-dumper
高级配置和深度学习
访问SushiMCP 文档,了解有关 SushiMCP 的高级配置和更深入学习的更多信息。
Glama.ai评级
作者
Chris White:电子邮件| GitHub | Discord |个人网站| X | LinkedIn | Five9 Cyber
执照
本项目遵循 AGPL-3.0 或更高版本许可。详情请参阅license.txt文件。
Available Tools
4 toolsfetch_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.
TDQS
Scored across 4 tools
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).
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.
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.
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
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