Stateless MCP server
Pursue defense-tech roles from inside your own agent.
Your agent reasons privately on rubrics, timelines, and trial work — we never see your answers.
Example agent conversation. A user asks: "can a green card holder work the Anduril Fury role?" The agent calls the explain_rule tool and answers: "Not if it needs a clearance — and Fury postings list one. A green card makes you a U.S. person under ITAR, but clearances are limited to U.S. citizens."
Add to your agent
One server, one URL — pick whatever your agent already speaks.
$claude mcp add --transport http clearance-lens https://clearance-lens.vercel.app/mcphttps://clearance-lens.vercel.app/mcp- Settings → Connectors → Add custom connector.
- Name it Clearance Lens and paste the URL above.
- Leave authentication as “No auth” and save.
How it works
Your agent calls our tools
It asks for a role, a rule, or a rubric in plain language — no dashboard, no login required.
We return public knowledge only
Job postings and published rules, each with a source link. Never PII, never a lookup on you.
Your agent reasons privately
It evaluates your fit inside your own conversation — we never see your answers.
Tools
Every tool below is live on the MCP server right now — call it by name from your agent, or try it without one in the playground.
explain_rule
Plain-English explanation of a clearance or export-control rule (ITAR, FCL sponsorship, SEAD 4/7, continuous vetting, and more) with primary-source links.
estimate_timeline
Estimates how long reaching a target clearance level might realistically take, given current status — a real range where the data supports one, a single sourced figure where it doesn't, never an invented number.
search_defense_roles
Searches live defense/hard-tech roles from the a16z speedrun Talent Network's public API.
verify_evidence
Summarizes a GitHub, GitLab, or Cosign profile's already-public signal via that platform's own public REST API only — no scraping, never used to rank candidates.
get_company_profile
Published facts about a company plus computed work realities from its currently-open roles.
build_trial_assessment
Generates an ITAR-safe, time-boxed work-sample exercise built only from a role's public posting text — never invented technical specifications.
run_job_preview
Returns a complete “first week” realistic job preview script for your agent to run with you, scene by scene.
get_role_rubric
An eligibility checklist and skills rubric for a role, built for your agent to evaluate privately.
readiness_brief
A structured brief template for your agent to fill in locally: eligibility, gaps, and a 2-week prep plan.
fit_debrief
Turns loved/disliked work-reality tags into a summary template and concrete questions to ask the company.
prepare_consented_card
A fill-in intro card for only the fields you approve — your agent fills in your answers locally, so they never reach the server.
prepare_signed_attestation
Wraps a self-asserted claim (clearance level, citizenship status, or availability) in a credential your own agent signs locally — proves who signed it and when, never that the claim itself is true.
contribute_anonymous_signal
Opts one role-interest into an anonymous, aggregated signal pool — no name, contact info, or identifier of any kind, only closed-enum buckets you explicitly choose to include.
get_aggregated_signal
Reads that pool back as rounded percentages for a role or company — never an individual record, and never before at least 5 people have contributed (a k-anonymity floor).
generate_interview_guide
A structured interview guide for a startup's own human panel, built only from the posting — traced questions and evaluation anchors, never a candidate score.
verify_signed_attestation
The recipient's side of a signed attestation: checks it was really signed by the key it names and hasn't been altered — never that the claim is true.
Clearance Lens is not legal advice and never touches DISS/NBIS/DCSA. Privacy →