# io.github.klmlfl/case-doha-record

- Registry name: `io.github.klmlfl/case-doha-record` · version 1.0.0
- Categories (automatic, keyword rules): Datasets & public data, Search & data, Monitoring & logs, Infrastructure & security
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.klmlfl%2Fcase-doha-record
- Server page: https://mcpstation.net/s/io.github.klmlfl--case-doha-record.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://www.clearancesearchengine.com/api/mcp`

## Tools (as reported by the server, not verified)

- `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

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html