MCP server

Whirrwork Official

com.whirrwork/whirrwork

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Robot jobs, sourced prices with history, providers by country, robot-vs-human costs, and RFQs.

Working at last checkVerified publisher: whirrwork.comAbout 5,254 tokens per request once connected16 tools

Website

https://whirrwork.com/mcp

At a glance

Type: MCP server
Publisher: whirrwork.com (verified by the MCP Registry)
Status: Working at last check
Tools: 16
Token cost: About 5,254 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http whirrwork https://whirrwork.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.whirrwork]
url = "https://whirrwork.com/mcp"

Gemini CLI

{"mcpServers":{"whirrwork":{"httpUrl":"https://whirrwork.com/mcp"}}}

Cursor

{"mcpServers":{"whirrwork":{"url":"https://whirrwork.com/mcp"}}}

VS Code

{"servers":{"whirrwork":{"type":"http","url":"https://whirrwork.com/mcp"}}}

Antigravity

agy mcp add whirrwork https://whirrwork.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"whirrwork","server_url":"https://whirrwork.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"whirrwork","server_url":"https://whirrwork.com/mcp"}

Tools

compare_providers ~186 tokens
Side-by-side comparison of 2-10 providers: coverage for a country, engagement models, published prices (USD-normalized), HQ, contact routes, shared jobs, last checked. Facts only, no ratings.
compare_robot_vs_human ~934 tokens
Cost comparison of human labour (or a human service) against robot options (buy, lease, robots-as-a-service, robot service provider) for one of 22 jobs in one of 8 countries (US, DE, GB, JP, CN, IN, BR, MX). Uses the same model as whirrwork.com/tools/robot-vs-human/: every default input has a source
estimate_cost ~369 tokens
Arithmetic on published prices: unit price × quantity, using exact unit conversions (acre↔hectare, sq ft↔m², mile↔km), preferring benchmarks whose region matches the country, converting currency at a dated ECB rate. Returns the range plus the basis rows (each with source_url, as_of, region match) an
find_providers ~680 tokens
Shortlist providers for a job and place. Ranked: lists the region > lists the country > lists part of the country > headquartered there (HQ is not a service area) > works worldwide. Each result has coverage + coverage_reason, engagement models, published pricing with USD conversion, min_published_pr
get_price_history ~226 tokens
Every price observation we have recorded (append-only; never overwritten) for a job and/or provider, grouped into series with trend (change_pct between first and latest observation). observed_at = when we recorded it; as_of = the date the source states. If every series has one observation, say so: t
get_prices ~233 tokens
Current sourced prices for a job (benchmarks + provider-published), or for one provider. Every row has source_url and as_of. Set convert (e.g. "USD") to add a clearly labelled conversion with the FX rate, date and source. Benchmarks, not quotes.
get_provider ~165 tokens
Full public profile of one provider: website, HQ, service regions and explicit service areas (with sources), jobs, robot types, engagement models, published prices (with USD), contact routes, sources and last-checked date.
get_rfq_status ~120 tokens
Status of a submitted RFQ (received → matched → sent_to_suppliers → quoted → closed) with its status history. Needs the id and the access key returned by submit_rfq (the key= part of status_url).
get_rfq_template ~207 tokens
The exact fields to collect from the buyer before submit_rfq: core fields (required flags, formats) plus the job-specific checklist suppliers need to price it (as extra.{key}), regulatory notes, and a filled example. Ask the buyer for these, then call submit_rfq.
get_stat ~189 tokens
One Whirrwork Research statistic by slug: claim, figure, scope, measure type, primary source with archive link, publication/access/last-verified dates, verbatim source passage (when licensing allows), confidence, caveats, and citations in APA, Chicago, MLA and BibTeX (plus an APA citation of the ori
get_use_case ~343 tokens
Everything about one job: what it is, robot types, ways to buy (service/rental/RaaS/purchase), honest buyer tips (including when a robot is overkill), regulatory notes, every sourced price benchmark (with source_url, as_of and a USD conversion), price-history counts, the RFQ checklist, and providers
list_categories ~128 tokens
The 20 job categories with use-case counts, for browsing when the buyer is vague.
list_countries ~126 tokens
For each country: providers that list it as a service area, providers serving parts of it (with sub-regions), and providers headquartered there; plus the number of worldwide providers. Use to tell the buyer honestly how well their country is covered.
search_stats ~438 tokens
Search Whirrwork Research: 100+ citable statistics on robot adoption, industrial and service robots, humanoids, drones, agriculture, cleaning, warehouses, labour shortages, wages, prices and funding, plus figures from Whirrwork's own dataset. Each result has the exact figure with unit and scope, the
search_use_cases ~350 tokens
Find the robot job (use case) that matches what the buyer wants, in plain words and in any of 12 languages. Returns matching use cases (id, name, price summary, provider count) plus matching providers and guides. Start here, then call get_use_case with the best id. Examples: "drone light show for a
submit_rfq ~560 tokens
Submit a request for quotes for a real buyer who explicitly agreed to be contacted by matched suppliers (consent=true). Stored, auto-matched to providers by job + country, and reviewed by a human before anything is forwarded; nothing is emailed automatically. Returns id, status, matched provider ids

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