Let Agents In
Server Details
Scan agent readiness, or find measured providers an unattended AI agent can finish with.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: find_providers accepts a problem description and returns vendor evaluation data, while scan_domain accepts a domain and returns HTTP check results. There is no overlap in input, output, or functionality, so an agent can easily distinguish them.
Both tool names follow a clear verb_noun pattern with underscores (find_providers, scan_domain), which is consistent and predictable. There are no deviations or mixed conventions.
With only two tools, the server's surface is thin. While each tool is detailed and serves a clear purpose, the server name 'Let Agents In' suggests a broader scope, making the count feel borderline for the implied domain.
The server covers only two specific evaluation tasks, leaving obvious gaps for a server that aims to 'let agents in.' Expected tools for access management, onboarding, or broader agent orchestration are missing, making the surface incomplete for the stated purpose.
Available Tools
2 toolsfind_providersFind providers an unattended agent can actually finish withARead-onlyIdempotentInspect
Describe the problem in your own words, for example "let users upload images" or "send transactional email". Returns the vendors we have measured in that category, split by whether an unattended run clears every barrier we test, stops at one, or was never measurable, each with the date and a link to the evidence. This is not a recommendation: it does not know whether a vendor suits your job, only where an agent stops. Routing a sentence to a category is by far the weakest thing here, and the numbers below are the ones to plan around. Measured on 40 questions written by an agent with no access to this repository and no sight of the category list, labelled before the first run, and built to be hard: fourteen of them ask about the caller own code in commercial words (a billing module, a payments table, a notifications worker), and six ask for something real that a catalogue this size does not hold. It got 29 of the 40 right, said nothing on 8 it should have answered, sent 0 to the wrong category and answered 3 that it should have refused. Put another way: it gave an answer to 14 of the 40, and 3 of those answers were wrong, while refusing 18 of the 21 it should have refused. It is deliberately quiet. One vocabulary word inside a long question decides nothing, and a question shaped like a request for code rather than for a vendor is refused outright. Silence means we could not read the question, not that the category is empty. The tool reads English. Name the category yourself when you know it.
Inputs: job (required).
scan_domainScan a domain for agent readinessAInspect
Scores a domain across 5 funnel stages using 16 deterministic HTTP checks. 18 points exist on paper; the score is out of the points that both applied to the domain and could be evaluated. Returns a per-check breakdown with the reason for each result and a permanent link.
Inputs: domain (required), format.
Tool Schema Changelog
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