Schema | knife4j-mcp

knife4j-mcp

Describes the environment variables required to run the server.

Name	Required	Description
`LOG_LEVEL`	No	日志级别，设为 debug 时会输出更多拉取和解析过程日志。
`CACHE_TTL_MS`	No	内存缓存有效期，单位毫秒，默认值 300000（5分钟）。
`SWAGGER_HEADERS`	No	额外附带到所有文档请求上的自定义 HTTP Header，格式为 JSON 字符串，例如 {"X-Env":"dev","X-Token":"abc"}。
`SWAGGER_BASE_URL`	No	用于补全 swagger-resources 里返回的相对路径。未设置时默认回退到 SWAGGER_RESOURCES_URL 的基址。
`SWAGGER_BASIC_AUTH`	No	访问 Swagger 文档时使用的 HTTP Basic Auth 账号密码，格式 username:password。
`SWAGGER_RESOURCES_URL`	Yes	Knife4j / Swagger 聚合入口地址，用来读取模块列表。例如：http://127.0.0.1:3301/swagger-resources
`SWAGGER_MODULE_ALLOWLIST`	No	只加载指定模块，其他模块会被忽略。格式为逗号分隔，例如 sample-account,sample-auth。

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
list_specsA	List aggregated Knife4j / Swagger modules and their loading status. Use this for module discovery and diagnostics, not for reading API details or fetching spec URLs directly.
find_apiA	Find candidate APIs by path, keyword, tag, module, or method. After locating a candidate, call get_api_detail with its module, path, and method to read the full indexed API documentation instead of fetching Swagger/OpenAPI spec URLs directly.
get_api_detailA	Preferred tool for full API documentation. Use module + exact path + HTTP method to read the server-indexed API detail, including recursively expanded request and response schemas. Do not fetch /v2/api-docs, /v3/api-docs, or spec URLs directly.
refresh_specsA	Force a reload of swagger-resources and all module specs while keeping partial failures isolated. Use this when upstream docs changed or when a previous lookup returned stale results.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/chaselen/knife4j-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server