Headcount Labs

Name: Headcount Labs
Author: HeadcountLabs

by HeadcountLabsversion 1.2.0i★ –iRuns in the cloud

Registry namecom.headcountlabs/jobs

Install

Overview

Description from the maker (original English)

Job postings search: find, count and read open jobs from employer career sites, with pay and links.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 9 things (tools) search_jobs, count_jobs, get_job, market_breakdown …
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://api.headcountlabs.com/mcp/public

Run this in your terminal

claude mcp add --transport http jobs https://api.headcountlabs.com/mcp/public

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "jobs": {
      "url": "https://api.headcountlabs.com/mcp/public"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "jobs": {
      "type": "http",
      "url": "https://api.headcountlabs.com/mcp/public"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://api.headcountlabs.com/mcp/public

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

search_jobs
Search current job postings by keyword, title, company, place, pay and date. Call list_fields for filter names. Country and employment_type accept comma-separated values or arrays. Pages return up to 50 jobs (limit, default 10), or 10 when descriptions is "full". Pass next_cursor
count_jobs
Count matching jobs without listing them. This is the live count; prefer it over market_lookup and market_breakdown for "how many" and "which employers are hiring". Counting by q also needs a title or company filter. Counting by description alone returns an estimate: count_is_est
get_job
Get a job by job_id. Default shape matches search_jobs, plus the full description, currentness, stale, last_checked_at, and linked postings. Pass view: "full" for every REST field, or fields to pick top-level properties (job_id is always included).
market_breakdown
Rank one dimension (by: title, state, city, company, seniority, employment_type or remote) by jobs, pay or another figure, optionally inside a filter. Daily snapshot (see as_of). For live counts or who is hiring now, use count_jobs. Cells with fewer than 30 jobs are omitted. No a
market_lookup
Look up job count, pay, pay share, work arrangement, posting age, new postings or top employers for up to two of title, place, company, seniority, employment_type and remote. Omit metric for every figure. Daily snapshot (see as_of). For live counts or who is hiring now, use count
list_fields
Find search_jobs filters and job fields matching keywords, with type and a short description. Pass words such as ["pay", "remote"]; no keywords lists everything. kind is filter or field (postings[].x is a posting property). A field state object says whether the source published t
search_docs
Search Headcount Labs docs (filters, limits, MCP setup, errors) and return matching sections with URLs. Works without an account.
market_dimensions
List dimensions and metrics for market_lookup, market_breakdown and salary_range; pass dimension (and optional q) to list that dimension's values. No account needed.
salary_range
Posted pay percentiles (25/50/75/90) for a title, place (default US) and optional seniority, with sample size and a short recommendation. Daily snapshot (see as_of). For live counts or who is hiring now, use count_jobs. Cells with fewer than 30 jobs are omitted. No account needed

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain headcountlabs.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 523 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 9 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

More stars than 0% of the other 5675 servers in this category
Published to the registry more recently than 67% of the other 5675 servers in this category
Basic checks equal to or better than 100% of the other 5675 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Headcount Labs safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 20 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Exa

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Connect AI agents to Exa for web search, content fetching, and multi-step research.

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Headcount Labs MCP server

Job postings for AI agents. Headcount Labs is a hosted Model Context Protocol server that lets Claude, ChatGPT, Codex, Cursor, VS Code and other MCP clients search, count and read open jobs from employers' own career sites and the hiring platforms they use (Workday, Greenhouse, Lever, iCIMS, SmartRecruiters and others). Copies of the same opening are merged into one job, and every job keeps the link to the original posting.

There is nothing to install or run. This repository holds the connection instructions, client examples and the official MCP Registry entry (server.json, name com.headcountlabs/jobs). The server itself is hosted.

Endpoint	Sign-in	Tools
`https://api.headcountlabs.com/mcp/public`	None	6 read-only tools; one search shows up to 250 matching jobs, 50 per page
`https://api.headcountlabs.com/mcp`	OAuth 2.1 (PKCE, dynamic client registration) or an API key as a bearer token	26 tools, including exports, the company registry, the job change feed and usage

Both use the Streamable HTTP transport.

Pricing. Every organization gets 100,000 records free each calendar month (UTC), with no card. After that, records cost a flat $0.01 per 1,000. Counts, market insights, field lookups and doc searches are free. See headcountlabs.com/pricing.

Try it without an account

Add the public endpoint to any MCP client. In Claude Code:

claude mcp add --transport http headcountlabs-public https://api.headcountlabs.com/mcp/public

Or call it directly. This counts every open job in the catalog:

curl -s https://api.headcountlabs.com/mcp/public \

-H "content-type: application/json" -H "accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"count_jobs","arguments":{}}}'

Connect with an account

Claude Code (then run /mcp and choose Authenticate):

claude mcp add --transport http headcountlabs https://api.headcountlabs.com/mcp

Or install the Claude Code plugin, which adds the server and a job-search skill:

/plugin install headcount-labs --marketplace HeadcountLabs/claude-plugin

Codex:

codex mcp add headcountlabs --url https://api.headcountlabs.com/mcp

codex mcp login headcountlabs

Cursor, Windsurf and other clients that read mcp.json: examples/mcp.json. VS Code: examples/vscode-mcp.json. claude.ai and Claude Desktop: add a custom connector with the endpoint URL. ChatGPT: headcountlabs.com/mcp/chatgpt. Grok: headcountlabs.com/mcp/grok. Clients without remote server support: run npx mcp-remote https://api.headcountlabs.com/mcp as the server command.

Tools

The public endpoint serves the first six tools in this table. The signed-in endpoint serves all of them. The full reference, with scopes and limits, is at headcountlabs.com/docs/mcp-tools.

Tool	What it does	Uses records
`search_jobs`	Finds jobs by title, keywords, company, city, state, country, work arrangement, pay and dates. Signed in, `deliver_file: true` writes up to 5,000 jobs to a file.	Yes
`count_jobs`	Counts the jobs that match a set of filters, optionally grouped by employer.	No
`get_job`	Reads one job with every linked posting and its source links.	Yes
`market_insights`	Pay, top employers, remote share, metros, jobs by state and more, from a dated snapshot.	No
`list_fields`	Finds the filters and job fields that match your words, such as "pay" or "remote".	No
`search_docs`	Returns the best-matching sections of the Headcount Labs docs.	No
`read_file`	Pages through a file that `search_jobs` delivered, for 24 hours.	No
`verify_jobs`	Re-opens a random sample of original postings and checks link, status, title, employer, location and pay.	Sampled jobs
`compare_sources`	Matches your own job list against Headcount Labs, row by row.	Matched jobs
`search_jobs_json`, `search_jobs_dsl`	The same search with a JSON body or Elasticsearch-style clauses.	Yes
`list_job_changes`	New, changed and closed jobs since a time or cursor.	Yes
`list_companies`, `search_companies`, `get_company`, `list_company_jobs`	The company registry and each company's jobs (needs the `companies:read` scope).	Jobs only
`create_job_export`, `list_job_exports`, `get_job_export`, `read_job_export_file`	Asynchronous exports of up to 100,000 jobs.	Completed exports
`get_usage`, `get_overage`, `get_usage_requests`, `get_usage_analytics`	Your plan, records used and left, overage status and request reports.	No
`set_confirmation_level`, `set_overage`	How large a search may be before the agent must ask you, and overage billing on or off. Agents change them only when you ask.	No

Every tool carries a title and readOnlyHint or destructiveHint annotations. The tools read job data. They can't apply to jobs or contact employers.

What results look like

Compact by default. search_jobs returns a short summary of each job: rank, job_id, the employer-written title, employer and a 200-character snippet (in job_ad), locations, work arrangement, pay with its period, dates and the posting and apply links. Pass view: "full", name the fields you need, or call get_job for every field. Ten typical searches came to 62% fewer tokens than with every field.
Job ad text is data. Results that carry employer-written text start with an untrusted_content notice, and the server tells the AI never to follow instructions inside a job ad. Hidden text (zero-width and text-direction characters, HTML comments, hidden elements) is removed before it is sent.
Errors say how to fix the call. A bad argument returns invalid_arguments with each problem's field, what is wrong, the accepted values or the nearest valid name (did_you_mean), and a working example. Rate-limit and overload errors give retry_after_seconds.
Paging. Signed in, limit is the page size (10 to 100, default 50) and max_results is the most results one search returns across all its pages (10 to 1,000, default 250). They apply to search_jobs, search_jobs_json, search_jobs_dsl, list_company_jobs, list_companies, search_companies and list_job_changes. Set both on the first call and keep them the same on every page, because the cursor carries them. A search that reaches the cap returns next_cursor: null and a note. The no-account endpoint pages 1 to 50 jobs (default 10, or 1 to 10 with full descriptions) and stops at 250.
Job cards. In clients that support MCP Apps, search_jobs also shows the jobs as cards with pay, remote and location filters and an Apply button that opens the original posting. Other clients get the normal result.

Example prompts

"How many data engineer jobs are open in Germany right now?"
"Find 5 remote software engineer jobs in the US posted in the last week, with pay and apply links."
"Which employers have the most open registered nurse jobs in Texas?"
"What share of project manager jobs are remote, hybrid or on-site?"
"Pull every open job at Deloitte in Germany into a file."

The data

Open jobs read from employer career sites and hiring platforms, refreshed continuously, with closed jobs removed. Each job carries the employer, title, locations, work arrangement, pay as the employer published it, dates, and the posting and apply links.

Coverage by platform, country and company: headcountlabs.com/coverage
Fields in a job record: headcountlabs.com/docs/data-fields
REST API with the same filters: headcountlabs.com/docs
Public subsets of the job dataset on Hugging Face (ODbL 1.0): huggingface.co/HeadcountLabs; the full dataset is coming soon. Example queries and the schema are in the job-postings repository

Privacy and support

Your client sends search filters and job IDs to api.headcountlabs.com and gets job data back. Headcount Labs keeps only the usage counts needed for billing. See the privacy policy and terms.

Support: headcountlabs.com/contact or support@headcountlabs.com.

The examples and docs in this repository are MIT licensed.

Headcount Labs

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Headcount Labs MCP server

Try it without an account

Connect with an account

Tools

What results look like

Example prompts

The data

Privacy and support