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OpenWeb Ninja MCP

OpenWeb Ninja MCP

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openwebninja.comSearch38Updated today

About OpenWeb Ninja MCP

OpenWeb Ninja MCP is the official MCP server for OpenWeb Ninja APIs, aimed at AI agents that need real-time web data. It maps APIs across search, business, and industry data to tools, with definitions generated from OpenAPI specifications.

Key features

  1. 01Exposes 50 API tools
  2. 02Covers search, maps, jobs, and commerce
  3. 03Provides real estate, finance, and news data
  4. 04Accepts operation-specific parameters
  5. 05Generates tools from OpenAPI specifications
  6. 06Offers an on-demand subscription tool

Use cases

  1. 01Retrieve current web, news, or forum information
  2. 02Look up local businesses and map data
  3. 03Search jobs, products, or real estate
  4. 04Call OpenWeb Ninja APIs through an MCP client

MCP support

The MCP server exposes OpenWeb Ninja API operations as tools and includes a subscription tool for adding API free tiers on demand.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"openwebninja": {
"command": "npx",
"args": [
"-y",
"@openwebninja/mcp-server"
],
"env": {
"OPENWEBNINJA_API_KEY": "<OPENWEBNINJA_API_KEY>"
}
}
}
}
Run commandnpx -y @openwebninja/mcp-server
Environment variables to set
OPENWEBNINJA_API_KEYSecretYour OpenWeb Ninja API key

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@openwebninja/mcp-server0.1.1

Tools

43

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
operationenumYesWhich endpoint to call. See the tool description for each operation and its parameters.ai_overviews
argsobjectNoParameters for the chosen operation as key/value pairs (see the tool description for required params).

Details

From the project README

OpenWeb Ninja MCP Server

Official Model Context Protocol server for OpenWeb Ninja APIs. Gives any MCP-compatible AI agent (Claude, Cursor, Cline, and others) real-time access to web search, local business data, jobs, e-commerce, real estate, finance, news, and more, through a single connection.

One tool per API product (50 tools), each exposing that API's operations, plus a subscribe tool for adding an API's free tier on demand — 51 tools in total. Schemas are generated directly from OpenWeb Ninja's OpenAPI specs, so the server always matches the live APIs.

Setup

You need an OpenWeb Ninja API key. Get one at openwebninja.com.

The server runs via npx — there's nothing to install globally. Pick your client below; npx fetches @openwebninja/mcp-server on demand.

Claude Desktop

Add to claude_desktop_config.json (Settings -> Developer -> Edit Config):

{
  "mcpServers": {
    "openwebninja": {
      "command": "npx",
      "args": ["-y", "@openwebninja/mcp-server"],
      "env": { "OPENWEBNINJA_API_KEY": "your-api-key" }
    }
  }
}
Claude Code
claude mcp add openwebninja -e OPENWEBNINJA_API_KEY=your-api-key -- npx -y @openwebninja/mcp-server
Cursor / Cline / Continue / Windsurf

Use the same command / args / env shape in the client's MCP config (mcp.json or equivalent).

From source (local development)
git clone <repo> && cd openwebninja-mcp
npm install
npm run build

Then point your MCP client at the built entry:

{
  "mcpServers": {
    "openwebninja": {
      "command": "node",
      "args": ["/absolute/path/to/openwebninja-mcp/dist/index.js"],
      "env": { "OPENWEBNINJA_API_KEY": "your-api-key" }
    }
  }
}

How the tools work

Each tool maps to one OpenWeb Ninja API and takes two inputs:

  • operation: which endpoint to call (e.g. search, product_details)
  • args: the parameters for that operation

The tool description lists every operation and its required parameters. Example call to the jsearch tool:

{
  "operation": "search",
  "args": { "query": "site reliability engineer remote", "country": "us" }
}

Arguments are validated and type-coerced before the request is sent, and responses return the OpenWeb Ninja data payload plus a request_id.

Environment variables

VariableRequiredDescription
OPENWEBNINJA_API_KEYyesYour OpenWeb Ninja API key (sent as x-api-key).
OPENWEBNINJA_BASE_URLnoOverride the API host (defaults to https://api.openwebninja.com). For staging/testing.

Available tools (51)

Search & discovery: realtime_web_search, realtime_bing_search_data, realtime_news_data, real_time_news_search, realtime_forums_search, web_search_autocomplete, realtime_image_search, reverse_image_search, realtime_lens_data, real_time_video_search, realtime_shorts_search, ai_overviews, google_ai_mode, social_links_search

Local & maps: local_business_data, local_business_database, yelp_business_data, trustpilot_company_and_reviews, local_rank_tracker, driving_directions, waze, google_maps_traffic_alerts, ev_charge_finder

Jobs & companies: jsearch, realtime_linkedin_data, realtime_indeed_data, realtime_ziprecruiter_data, realtime_monster_data, realtime_bing_jobs_data, job_salary_data, realtime_glassdoor_data

Commerce & product: realtime_amazon_data, realtime_product_search, real_time_walmart_data, real_time_ebay_data, realtime_costco_data, real_time_wayfair_data, realtime_homedepot_data, realtime_books_data, play_store_apps

Real estate: realtime_zillow_data, real_time_redfin_data

Finance & events: realtime_finance_data, realtime_events_data

Contact & enrichment: website_contacts_scraper, email_search

Utility: web_unblocker

LLM relays: chatgpt, gemini, copilot

Access: subscribe (add an API's free tier on demand)

Development

npm run sync       # sync OpenAPI specs from S3 into openapi-cache/ (needs AWS creds)
npm run generate   # regenerate src/generated/manifest.ts from the specs
npm run build      # compile TypeScript to dist/
npm run dev        # run the server over stdio (tsx, no build)
npm run inspect    # launch the MCP Inspector against the server
npx tsx test/smoke.ts   # smoke test: list tools + validation + request path

The pipeline is: OpenAPI specs (openapi-cache/) -> scripts/generate.ts -> src/generated/manifest.ts -> tools registered at runtime in src/server.ts. To add or update an API, re-sync the specs and regenerate; no hand-written per-tool code is needed (only the curated descriptions in src/lib/descriptions.ts).

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.