openapi-atlas-mcp

openapi-atlas-mcp

Aggregates multiple OpenAPI specifications into a single searchable MCP server, enabling AI agents to query API endpoints across all services using natural language.

Category
访问服务器

README

openapi-atlas-mcp

openapi-atlas-mcp aggregates multiple OpenAPI/Swagger specifications from your backend services into a single searchable, documentation-focused Model Context Protocol server. It lets an AI agent (Claude Desktop, Cursor, Claude Code, VS Code) answer questions like "show me the payload for submit order" across all of your configured services in one query — instead of making you hunt through N separate Swagger UIs.

Install

# pip
pip install openapi-atlas-mcp

# uv (recommended for MCP servers)
uv tool install openapi-atlas-mcp

Quick start

  1. Create a config file (.openapi-atlas.json) in your project root:
openapi-atlas-mcp init

This launches an interactive wizard. Or write the file manually:

{
  "services": [
    {
      "name": "orders",
      "url": "http://localhost:8000"
    },
    {
      "name": "billing",
      "url": "https://billing.internal.example.com",
      "auth": {
        "type": "bearer",
        "token_env": "BILLING_API_TOKEN"
      }
    }
  ]
}
  1. Set any required environment variables:
export BILLING_API_TOKEN=your-secret-token
  1. Start the server:
openapi-atlas-mcp serve

Agent-host integration

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "openapi-atlas": {
      "command": "uv",
      "args": ["tool", "run", "openapi-atlas-mcp", "serve"]
    }
  }
}

Cursor (.cursor/mcp.json)

{
  "mcpServers": {
    "openapi-atlas": {
      "command": "openapi-atlas-mcp",
      "args": ["serve"]
    }
  }
}

Claude Code

claude mcp add openapi-atlas -- openapi-atlas-mcp serve

VS Code

Add to .vscode/mcp.json:

{
  "servers": {
    "openapi-atlas": {
      "command": "openapi-atlas-mcp",
      "args": ["serve"]
    }
  }
}

Configuration reference

The config file (.openapi-atlas.json or path via OPENAPI_ATLAS_CONFIG env var):

Field Type Required Description
services ServiceConfig[] Yes One or more backend services to aggregate
auth AuthConfig | null No Global default auth (overridable per-service)
allow_insecure_http_hosts string[] No Hosts allowed for plain HTTP (e.g. ["localhost"])
cache.spec_ttl_seconds int No Spec cache TTL in seconds (default: 60)
cache.disk_cache_dir string | null No Custom disk cache directory

ServiceConfig

Field Type Required Description
name string Yes Unique service identifier
url string Yes Base URL of the service (must include scheme)
spec_path string | null No Explicit spec path (e.g. /api/openapi.json). Auto-discovered if omitted.
auth AuthConfig | null No Per-service auth override

AuthConfig

Secrets are referenced by env-var name — never inline. See docs/auth.md for patterns.

Type Required fields Behavior
none (none) No auth headers sent
bearer token_env Sends Authorization: Bearer <env value>
basic username_env, password_env Sends Authorization: Basic <base64>
headers headers_env Sends custom headers from a JSON env var

Tools

Tool Description
search_endpoints Keyword-search operations across all services. Returns ranked matches with scores.
get_endpoint_detail Returns the fully $ref-resolved schema for one endpoint.
list_services Lists all configured services with health, version, and freshness metadata.
refresh_specs Force a fresh fetch of one or all services. Clears caches.

When things go wrong

Symptom Likely cause Fix
ConfigNotFoundError No .openapi-atlas.json found Run openapi-atlas-mcp init or set OPENAPI_ATLAS_CONFIG
MissingEnvVarError Referenced env var not set export BILLING_API_TOKEN=...
InsecureHttpHostError Plain HTTP to non-localhost Add host to allow_insecure_http_hosts
Service shows unhealthy Service unreachable Check URL, auth, and network connectivity
Service shows degraded Serving stale cache Service was up before; check if it restarted
Empty search results No services indexed yet Call refresh_specs or check service health

See docs/errors.md for the full warning catalog.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选