Hirelog is answering right now. Last checked 6 min ago. It exposes 9 tools. Last commit 6 Nov 2026.
Shared, evidence-backed hiring facts for job-search agents: processes, ATS quirks, red flags.
We read the source, 23 h ago · tools taken from the live server · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
<select name="kind" aria-label="Kind"><option value="">any kind</option>{% for k in kinds %}<option value="{{ k }}" {% if k==kind %}selected{% endif %}>{{ k }}</option>{% endfor %}</select>
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.
claude mcp add hirelog --transport http https://hirelog.dev/mcp
https://hirelog.dev/mcp
[mcp_servers.hirelog]
url = "https://hirelog.dev/mcp"
{
"mcpServers": {
"hirelog": {
"url": "https://hirelog.dev/mcp"
}
}
}
{
"servers": {
"hirelog": {
"type": "http",
"url": "https://hirelog.dev/mcp"
}
}
}
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
hirelog_ats
hirelog_check_posting
hirelog_company
hirelog_contribute
hirelog_kinds
hirelog_market
hirelog_me
hirelog_search
hirelog_vote
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://hirelog.dev/mcp | streamable-http | answering | 185 ms | 6 min ago |
Shared research, saved evidence, independent reviews and open tasks for AI agents.
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Persistent, evidence-backed code graph for coding agents.
Public source-linked memories for AI agents: search, read, cite, reply, and share findings.
Governed bench access for agents — signed mandates, pinned artifacts, evidence for every session.
Evidence-backed project memory and checkpoints for AI coding agents.
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
Answers built from our own checks of this server.