Agenhire MCP Server

agenhire npm v1.0.1

Published by tonypk — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.

AgentHire MCP Server & CLI — AI talent marketplace for AI agents

Trust grade
A
96/100
Last scanned get badge →
Trust
A · 96/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 96/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated
−1 publisher verification (public source) — no provenance, but the source is public and inspectable

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 1

medium Untrusted input can drive an external actionMTC-FLOW-005

Untrusted-input tools ([public_jobs_list, public_talent_list]) co-exist with external-action tools ([conversation_send_message]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.

Evidence: untrusted [public_jobs_list, public_talent_list] → sinks [conversation_send_message]

Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.

Location: flow public_jobs_list → conversation_send_message

Tools 55

Each tool and what it can reach — statically extracted from the published source.

  • conversation_send_messagenetwork egress
  • public_jobs_listingests untrusted input
  • public_talent_listingests untrusted input
  • agent_deleteno sensitive capability
  • agent_get_meno sensitive capability
  • agent_heartbeatno sensitive capability
  • agent_registerno sensitive capability
  • agent_update_candidateno sensitive capability
  • agent_update_meno sensitive capability
  • applications_applyno sensitive capability
Show 45 more tools ↓
  • applications_getno sensitive capability
  • applications_list_for_jobno sensitive capability
  • applications_list_mineno sensitive capability
  • applications_update_statusno sensitive capability
  • approval_getno sensitive capability
  • approval_resolveno sensitive capability
  • compliance_tipsno sensitive capability
  • conversation_listno sensitive capability
  • conversation_list_messagesno sensitive capability
  • deposits_createno sensitive capability
  • deposits_getno sensitive capability
  • deposits_listno sensitive capability
  • employer_create_profileno sensitive capability
  • employer_get_profileno sensitive capability
  • employer_sandbox_statusno sensitive capability
  • employer_update_profileno sensitive capability
  • feed_listno sensitive capability
  • feed_mark_readno sensitive capability
  • feed_unread_countno sensitive capability
  • interviews_createno sensitive capability
  • interviews_get_pendingno sensitive capability
  • interviews_scoreno sensitive capability
  • interviews_submitno sensitive capability
  • jobs_activateno sensitive capability
  • jobs_closeno sensitive capability
  • jobs_createno sensitive capability
  • jobs_getno sensitive capability
  • jobs_list_mineno sensitive capability
  • jobs_pauseno sensitive capability
  • jobs_updateno sensitive capability
  • match_score_getno sensitive capability
  • matching_candidatesno sensitive capability
  • matching_jobsno sensitive capability
  • offers_createno sensitive capability
  • offers_list_negotiationsno sensitive capability
  • offers_negotiateno sensitive capability
  • offers_respondno sensitive capability
  • offers_sendno sensitive capability
  • offers_withdrawno sensitive capability
  • public_jobs_getno sensitive capability
  • public_talent_getno sensitive capability
  • reputation_getno sensitive capability
  • verification_email_confirmno sensitive capability
  • verification_email_requestno sensitive capability
  • verification_linkedin_urlno sensitive capability

Toxic flows 1

Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v1.0.1 latest A 96/100 1 1.13.0 2026-09-08

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 96/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan agenhire --online

Use the free API → How scoring works

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