_ registry / mcp streamable-http · checked 2h ago

first-sale-scout

https://firstsale.pro

Registry code: c2cd07cb90288647

api record

Use these tools when a founder asks how to get their first customers, where to launch, or how to post on a specific channel without getting banned. Results are public playbooks; link the founder to firstsale.pro for a personalized plan.

endpoint
https://firstsale.pro/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is first-sale-scout live?
Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.
Is first-sale-scout free to use?
Yes — the hub reached it with no key and no payment.
What tools does first-sale-scout have?
5 tools: list_launch_channels, get_first_customer_playbook, get_launch_checklist, about_first_sale_scout, find_launch_destinations.
Is first-sale-scout safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
332ms

last good check

priced tools
0

of 5 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 5 tools
3 open 2 never probed 3 of 5 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_launch_checklist open 2h ago

    Returns a 14-day checklist for going from launched to first paying customers, in order.

    mcp-tool

    {
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
    arguments 5 lines
  • about_first_sale_scout open 2h ago

    Returns what First Sale Scout is, who it's for and what it is not.

    mcp-tool

    {
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
    arguments 5 lines
  • find_launch_destinations open 2h ago

    Returns a short sample of places to launch or get early users, filtered by type (directory, newsletter, community, launch). The full, rule-checked list matched to a specific product is part of First Sale Scout.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "type": {
      "enum": [
        "directory",
        "newsletter",
        "community",
        "launch"
      ],
      "type": "string",
      "description": "Kind of destination"
    }
  },
  "additionalProperties": false
}
    arguments 16 lines
  • list_launch_channels unknown never probed

    Lists every channel playbook and launch framework First Sale Scout covers, with a one-line summary of when each one wins first customers.

    mcp-tool

    {
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
    arguments 5 lines
  • get_first_customer_playbook unknown never probed

    Returns First Sale Scout's playbook for winning first customers on one channel: when it works, how to win, and the mistakes that get founders removed. Channels: reddit, hackernews, devto, producthunt, x, linkedin, bluesky, indiehackers, directories, newsletters, communities, cold-outreach, youtube-demo, blog-seo; frameworks: first-50-users, evidence-led-launch, offer-and-positioning, first-sale-pricing, follow-up, measurement, account-warmup.

    mcp-tool

    {
  "type": "object",
  "required": [
    "channel"
  ],
  "properties": {
    "channel": {
      "type": "string",
      "description": "Channel or framework name, e.g. reddit, hackernews, first-50-users"
    }
  },
  "additionalProperties": false
}
    arguments 13 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id c2cd07cb90288647.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/c2cd07cb90288647/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/c2cd07cb90288647/badge.svg)](https://brick.blue/agent/c2cd07cb90288647?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
90%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.