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Speedrun Talent Network MCP Server

by speedrun-talent-network Your server? Claim it
answering

Speedrun Talent Network is answering right now. Last checked 12 min ago. It exposes 10 tools.

Search live roles across hundreds of a16z portfolio startups and join the speedrun talent network.

Uptime history 91 days of history · worst day 92%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
10
Tools
read from the server
962 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 14

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 11 August 2026. No other catalogue keeps this.

2 Nov a tool changed the parameters it asks for express_interest
2 Nov a tool description was rewritten express_interest
22 Sep a tool description was rewritten get_company
22 Sep a tool changed the parameters it asks for search_jobs
21 Sep a tool changed the parameters it asks for3 times that day search_jobs
21 Sep 2 tool descriptions were rewritten get_company, get_job
21 Sep a tool changed version2 times that day
20 Sep a tool changed the parameters it asks for search_jobs
11 Aug 2 tool descriptions were rewritten express_interest, join_network
and 3 more, back to 11 August 2026

Speedrun Talent Network missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add mcp --transport http https://mcp.speedrun-talent-network.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://mcp.speedrun-talent-network.com/mcp
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://mcp.speedrun-talent-network.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.speedrun-talent-network.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp": {
      "type": "http",
      "url": "https://mcp.speedrun-talent-network.com/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

collection
get_collection
Fetch one published collection by slug with its ranked member companies: name, tier, cohort, open-role count, location, stage, investors, and which functions/cities they're hiring in. Members are paginated (100 per page). Follow up with get_company or search_jobs (company filter) for a specific member's roles.
collections
list_collections
List the published curated collections of hiring companies, grouped as: pinned (portfolio tiers), industries (the 12-sector vocabulary, e.g. ai-infra, defense, fintech), hubs (cities + remote), investors, and signals (new-this-week, founding-roles, remote-first, hiring-in-volume). Each carries live company/role counts and a canonical url. Start here when a user asks "who's hiring in X" — then drill in with get_collection.
companies
list_companies
List every portfolio company with at least one live open role, most open roles first (paginated, 100 per page). Prefer list_collections for browsing by industry/hub/signal; use this for a raw roster.
company
get_company
Fetch one company profile by slug (from job.company_slug or a https://speedrun-talent-network.com/companies/... URL): name, portfolio tier, cohort, location, industries, one-line blurb, every live open role with canonical urls, and, while company facets are enabled, company.labels (stage, size band, business model, industry as LinkedIn's industry name, frontier-lab / big-tech / AI-native / hardware flags as display strings; null when the company has no classification yet). Use search_jobs or list_collections to discover companies; use this for the full picture of one employer.
express
express_interest
Get the canonical apply info for one live role, plus a join_url where the candidate can join the a16z speedrun talent network by entering their own details on the site. Takes only a job id: it records no personal data, attaches nothing to any profile, and submits nothing anywhere. apply.kind 'onsite' means the candidate applies on the returned job url; 'external' means the url hands off to the company's own careers page. Relay both the apply url and the join_url to the candidate; they act on each themselves. Safe to retry.
hiring
get_hiring_stats
Aggregate hiring data across the whole board, recomputed live: open-role and hiring-company counts, demand mix by function, posted pay-band midpoints by function (p25/median/p75, annual USD), remote share, top hiring locations, and the speedrun vs a16z portfolio split. Use this to answer "what do a16z portfolio startups pay" or "how many startup jobs are open" — the human-readable version lives at https://speedrun-talent-network.com/network.
job
get_job
Fetch one role by id: a job UUID, the first 8 hex characters of one, or the canonical slug from a https://speedrun-talent-network.com/jobs/... URL. Returns the full posting: plain-text description, posted pay band, how to apply (apply.kind 'onsite' = the candidate applies right on the job url; 'external' = the url hands off to the company's own careers page), the canonical url to send users to, and, while classified labels are enabled, job.labels (function, specialty, seniority, minimum experience band, workplace, engagement, founding-role and AI-native flags as display strings; null when the role has no classification). Closed roles come back with status:'closed' rather than an error.
jobs
search_jobs
Search live open roles across the a16z speedrun talent network jobs board (speedrun portfolio + the wider a16z portfolio; data syncs continuously from each company's own job board). Full-text search plus facet filters, with live facet counts in every response — read the facets to discover valid filter values. Results are paginated (50 per page, 0-based page). Every job carries a canonical url on https://speedrun-talent-network.com; link users there to view or apply. By default results cover the portfolio only; pass scope='speedrun' to narrow to speedrun portfolio companies only, or scope='everywhere' to also include the wider startup universe when that scope is live (the response then reports beyond_portfolio, the count of extra matches past the scope boundary: universe roles in portfolio scope, roles beyond speedrun within the a16z portfolio in speedrun scope; in everywhere scope it counts the universe-tier roles already included in the results — never add it to total). Mirrors GET https://speedrun-talent-network.com/api/v1/jobs exactly.
join
join_network
Add a candidate to the a16z speedrun talent network, with their consent. Requires full_name, email, and linkedin_url; every other field strengthens the profile. Idempotent and always safe to retry: an existing profile is never modified, and the response is identical whether or not the email was already in the network (membership is never disclosed). On success, relay the returned message and finish_url to the candidate so they can add a resume. Never call this without the candidate's explicit go-ahead.
network
get_network_info
What the a16z speedrun talent network is, why a candidate would join, how joining works, and what happens after. Use this before pitching the network to a candidate so the description is accurate; joining itself is the join_network tool.

Endpoints

URLTransportStateLatencyChecked
https://mcp.speedrun-talent-network.com/mcp streamable-http answering 839 ms 12 min ago

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Speedrun Talent Network — questions

Answers built from our own checks of this server.

What can Speedrun Talent Network do?
It exposes 10 tools, read directly from the server on our last check. Among them: express_interest, get_collection, get_company, get_hiring_stats, get_job, get_network_info and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Speedrun Talent Network working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 962 ms. The bar chart above shows every period we have measured.
How do I connect Speedrun Talent Network?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Speedrun Talent Network need an API key?
No. Speedrun Talent Network completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Speedrun Talent Network?
It answers our handshake in 962 ms on average, which is faster than 7% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.