Grounding AI agents and MCP tools

Every source here is callable over MCP, which makes it a tool an agent can reach for rather than a dataset someone has to load first. These are the jobs where the point is giving a model live, structured context it cannot infer.

14 documented jobs across 14 sources.

Google Flights Deals API

Google Flights Deals API - the 30 cheapest destinations from any airport as structured JSON, each flagged when it beats its route's typical price.

  • Answer 'where can I go cheaply from here' for an AI travel agent

Google Flights Deals API — parameters, schema and worked examples →

Realestate.com.au Property API

Buy, rent and sold Australian listings from one Actor, searched by suburb.

  • Australian property data inside an AI agent

Realestate.com.au Property API — parameters, schema and worked examples →

Workday Careers API

Every job on any Workday careers site, with pay ranges and direct apply URLs.

  • Feeding an AI agent a company's open roles

Workday Careers API — parameters, schema and worked examples →

Xing Profile API

DACH professional profiles, one structured row per person. Send profile URLs, get role, history, skills and languages.

  • Feeding an AI agent structured people data over MCP

Xing Profile API — parameters, schema and worked examples →

Google Lens API

Reverse image search: similar images, shoppable matches, or every page using your image.

  • Feeding an AI agent visual lookup as a tool

Google Lens API — parameters, schema and worked examples →

Oracle Fusion Recruiting and Taleo Jobs API

Oracle Fusion Recruiting and Taleo job postings in one API, resolved from a company name.

  • Feeding an AI recruiting agent Markdown job descriptions

Oracle Fusion Recruiting and Taleo Jobs API — parameters, schema and worked examples →

Trustpilot Reviews API

Trustpilot reviews with the experience date, company replies and the full star distribution, not just the headline average.

  • Feeding review context to an AI agent

Trustpilot Reviews API — parameters, schema and worked examples →

Google Maps Photos API

Google Maps Photos API - every photo for any place as structured JSON: full-size image URLs, thumbnails, gallery position, and a stable photo ID.

  • Give an AI agent the ability to look at a place, not just read about it

Google Maps Photos API — parameters, schema and worked examples →

VentureRadar Company Discovery API

Startup profiles keyed on who backed the company, not on how much it raised.

  • Giving an AI agent live context on unfamiliar startups

VentureRadar Company Discovery API — parameters, schema and worked examples →

TrustRadius Reviews API

The software alternatives a buyer actually weighed, plus per-feature scores and ROI notes, from B2B software reviews.

  • Grounding an AI agent in real buyer comparisons

TrustRadius Reviews API — parameters, schema and worked examples →

Agoda Hotel API

Per-room hotel rates for one stay, with pre-discount price and cancellation terms on every offer.

  • Live hotel rates inside an AI agent or MCP client

Agoda Hotel API — parameters, schema and worked examples →

Ashby Job Board API

Ashby job postings with published salary data, plus a live directory of companies hiring through Ashby.

  • Markdown job descriptions for AI recruiting agents over MCP

Ashby Job Board API — parameters, schema and worked examples →

Greenhouse Job Board API

Greenhouse job postings with stateless change detection, plus a live directory of companies hiring through Greenhouse.

  • Markdown job descriptions for AI recruiting agents over MCP

Greenhouse Job Board API — parameters, schema and worked examples →

Zoopla UK Property API

UK listings with dated sold-price history and UPRN, searched by town or postcode.

  • UK property data inside an AI agent

Zoopla UK Property API — parameters, schema and worked examples →

Other use cases

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