opendata-mcp

opendata-mcp

Enables interaction with the OpenData Platform API by dynamically exposing all endpoints as MCP tools with typed input schemas and HTTP handlers.

Category
访问服务器

README

opendata-mcp

CI

A Model Context Protocol server for the OpenData Platform API. Tools are generated dynamically from the bundled OpenAPI 3.1 spec — every endpoint is exposed as an MCP tool with a typed input schema and a transparent HTTP handler.

  • GET endpoints: 76 — exposed without auth (the API serves them unauthenticated).
  • Write endpoints (POST / PUT / PATCH / DELETE): 23 — require a Bearer token via OPENDATA_API_KEY.
  • Built on @modelcontextprotocol/sdk (TypeScript) with stdio transport.

Install

Uses pnpm (pinned via packageManager in package.json so corepack enable is enough to get the right version).

pnpm install
pnpm run build

Configure

Copy .env.example.env (or set in your MCP client config) and fill in:

OPENDATA_BASE_URL=https://api.tryopendata.ai   # required at call time
OPENDATA_API_KEY=od_live_xxx                   # required for writes
# OPENDATA_READ_ONLY=true                      # optional: only register GET tools
# OPENDATA_TIMEOUT_MS=30000                    # optional: per-request timeout
# OPENDATA_MAX_ATTEMPTS=3                      # optional: total HTTP attempts (retries are bounded; see below)
# OPENDATA_LOG_LEVEL=info                      # optional: off|error|info|debug

Secrets are never read from the repo. .env is gitignored; .env.example ships placeholders only.

Run

# Dev (tsx, no build step)
pnpm run dev

# Production (after build)
pnpm start

The server speaks MCP over stdio — wire it into any MCP-capable client. Example client config (Claude Desktop / similar):

{
  "mcpServers": {
    "opendata": {
      "command": "node",
      "args": ["/absolute/path/to/opendata-mcp/dist/index.js"],
      "env": {
        "OPENDATA_BASE_URL": "https://api.tryopendata.ai",
        "OPENDATA_API_KEY": "od_live_xxx"
      }
    }
  }
}

Test

pnpm test            # unit tests (mocked fetch — offline-safe)
pnpm run typecheck   # tsc --noEmit

Live tests against the real API run only when OPENDATA_BASE_URL is set:

OPENDATA_BASE_URL=https://api.tryopendata.ai pnpm test

CI runs the unit suite on every push/PR (badge above). The live smoke job runs on a daily schedule (and on pushes to main) only if the repo has OPENDATA_BASE_URL (and optionally OPENDATA_API_KEY) configured as Actions secrets — it's continue-on-error: true so a transient upstream outage doesn't show the repo as red.

How tool generation works

At startup the server:

  1. Loads openapi.json (OpenAPI 3.1, bundled).
  2. Walks every (path, method) pair (skipping deprecated operations and skipping non-GET when OPENDATA_READ_ONLY=true).
  3. Converts each operation's path + query parameters (and JSON request body for writes) into a Zod input schema via openapi-to-zod.ts.
  4. Registers one MCP tool per operation. The tool name is the OpenAPI operationId (sanitized to [a-zA-Z0-9_-]{1,64}); the description is METHOD path (auth?) — summary — description.
  5. On invoke, builds the URL (substituting path params + appending the query string), attaches Authorization: Bearer ${OPENDATA_API_KEY} for non-GET, sends the request, and returns the response as a text MCP content block.

The auth contract is enforced at the client layer (src/api-client.ts):

  • GET → no auth header is sent. If you pass a key it's still ignored.
  • Non-GET → OPENDATA_API_KEY is required; the request fails fast with a clear error if it's missing.

Logging, retries, and shutdown

  • Structured logging to stderr (stdout is reserved for the MCP protocol). One JSON object per line: {ts, level, msg, ...fields}. Tuned via OPENDATA_LOG_LEVEL (off|error|info|debug, default info). Every tool invocation carries a short rid (request id) that also surfaces in any error message returned to the client — so a user can quote an ERROR (rid=…) and you can grep it in logs.
  • Bounded retries on transient failures only: 502 / 503 / 504 and network errors are retried with jittered exponential backoff (200ms → 600ms → 1.4s, capped). 500 and any 4xx are never retried — a 500 means "I tried, it broke" and retrying just hammers a server that already gave its answer; a 4xx means the request is wrong and retrying won't help. Total attempts via OPENDATA_MAX_ATTEMPTS (default 3).
  • Graceful shutdown on SIGINT / SIGTERM: the MCP transport is closed before process.exit so any in-flight tool calls have a chance to land.

Layout

src/
  index.ts              # entry — MCP server, stdio transport
  openapi-loader.ts     # loads + normalizes the bundled spec
  openapi-to-zod.ts     # OpenAPI schema → Zod schema converter
  api-client.ts         # fetch wrapper + auth contract
  tools.ts              # generates MCP tool defs from normalized ops
  __tests__/
    tools.test.ts       # unit tests (mocked fetch)
    live.test.ts        # live tests (skipped unless OPENDATA_BASE_URL set)
openapi.json            # bundled OpenAPI 3.1 spec

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