Connect-MCP

io.github.klmlfl/case-doha-record

io.github.klmlfl/case-doha-record · v1.0.0

Search 30,000+ decided U.S. DOHA security-clearance decisions, cited to the public record.

MCPremoteno credentialsSecurity

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 7 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 99/100

What it does: 7 tools · 7 read, 0 write

Test call get_statistics: worked (1,908 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +9
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://www.clearancesearchengine.com/api/mcp

Tools

7 tools listed at last check
  • search_cases Search 30,000+ decided public DOHA security-clearance decisions (1996 to present). Full-text query plus filters. Returns matching cases with outcome, date, guidelines, and a citable URL each.
  • get_case Fetch one decided DOHA case in full: what was alleged, the judge's findings per allegation, per-guideline formal findings, outcome, judge, representation, and appeal history. Use case_id from search_cases.
  • similar_cases The most similar decided cases to a given case, ranked by how alike the ALLEGATIONS read (never by outcome). Same list shown on the case page.
  • get_statistics Grant/denial statistics over decided hearing-level DOHA cases, grouped by year or by guideline, always with sample sizes. Same population rules as the site's Insights page.
  • get_timelines Measured DOHA timelines: median days from Statement of Reasons to hearing and to decision, from dates stated in the decisions themselves. Optionally scoped to one decision year.
  • get_conduct_recency How much time had passed between the most recent conduct and the decision, measured from dates stated in the decisions, for the incident-type concerns (drugs, alcohol, criminal conduct, sexual behavior, protected information, IT misuse). Reports median years before favorable vs unfavorable decisions
  • get_candor_outcomes How cases with a candor allegation (falsification, omission, or lack of candor) were resolved in the decided record: the favorable rate with vs without such an allegation, when the judge found a deliberate falsification vs when the applicant rebutted it, and when the applicant corrected the record b

Badge

Connect-MCP badge for io.github.klmlfl/case-doha-record

Markdown for your README
[![Connect-MCP](https://clawy.uk/mcp/badge/io.github.klmlfl/case-doha-record.svg)](https://clawy.uk/mcp/s/io.github.klmlfl/case-doha-record)

Repository · Website