Congressional Research Service reports — Congress's own nonpartisan analysis, searchable and…
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io.github.pipeworx-io/crs-reports is an MCP server that congressional Research Service reports — Congress's own nonpartisan analysis, searchable and…. Its tool list has not been published yet over http, requires no API key, and scores 62/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"crs-reports": {
"url": "https://gateway.pipeworx.io/crs-reports/mcp"
}
}
}Are you the author?
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Congressional Research Service reports — Congress's own nonpartisan analysis, searchable and…
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Congressional Research Service reports — Congress's own nonpartisan analysis of statutes, federal programmes and policy options — searchable by subject and readable in full, with each report's authority, citations, licence and age stated on every response.
Part of Pipeworx — an MCP gateway connecting AI agents to 1863+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
crs_search(query?, topic?, product_class?, author?, published_since?, published_before?, limit?)
— ranked search over report titles and the summaries CRS publishes with them.
Returns titles, report numbers, CRS subject topics, authors, publication dates
and a summary snippet. Ranks titles and summaries, not report bodies — that
boundary is stated in every response as searched, because a miss otherwise
reads as "CRS has never written about this".crs_report(report_id, include_text?, max_chars?) — one report in full by its
number (R43255, IF13006, LSB10123). Returns the complete current-version
text plus authors, topics, the bills and public laws it cites, and its age.crs_recent(days?, topic?, product_class?, limit?) — what CRS has published or
revised lately, newest first. The change feed, for tracking the analysis that
follows a bill or a rule.crs_topics(facet?, limit?) — CRS's own subject taxonomy with per-term counts,
plus analysts and product families. Call it before filtering: CRS writes
U.S. Trade Policy, and a guessed Trade matches nothing.On the Pipeworx gateway: keyless. The gateway injects the corpus — the report index and the extracted report text — so a gateway call needs nothing from the caller.
Standalone (npm i @pipeworx/mcp-crs-reports): bring an api.data.gov key. A
standalone install has neither half of the corpus, so the pack falls back to the
Library of Congress's own API and needs a key for it. Pass it as _apiKey on any
tool call; keys are free at https://api.data.gov/signup/ and one key works
across every api.data.gov-fronted API. With no corpus and no key every tool
returns {found: false, reason: "corpus_unavailable"} and says so.
Every response carries mode: corpus (hosted) or live_api (standalone with a
key). What live mode cannot do — stated on the response rather than silently
degraded:
mode: "corpus" | mode: "live_api" | |
|---|---|---|
crs_report text | full extracted report text, checksum-verified | CRS's own summary only, never under the name text; the body stays in the PDF at pdf_url |
crs_search scope | every title and summary, ranked | titles only, scanned from the newest-updated end (the list endpoint has no query parameter at all); the response states how many it read against the corpus total |
topic / author filters | yes | refused by name — they exist only on the per-report record, so honouring one would cost a request per report across 14,000 reports |
crs_topics | full vocabulary with per-term counts | product_class only, without counts |
The refusals are deliberate. An unfiltered list returned under a filtered question is the wrong answer wearing the right label, and a 3,700-character summary sitting in the field where a 61,000-character report belongs is the one substitution a caller would never notice.
If the corpus fails mid-call and the caller supplied _apiKey, the answer
comes from the live API instead and carries degraded_from_corpus saying so.