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Glama
Program-Integrity-Alliance

PIA MCP Server

Official

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MAX_RESULTSNoMaximum results per query50
PIA_API_KEYYesYour PIA API key. Required for full functionality.
PIA_API_URLNoPIA API endpointhttps://mcp.programintegrity.org/
REQUEST_TIMEOUTNoAPI request timeout in seconds60

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
pia_searchA

Search the Program Integrity Alliance (PIA) database of government oversight reports, recommendations, executive orders, legislation, and integrity data (GAO, OIG/Oversight.gov, CRS, DOJ, Congress.gov, Federal Register). One tool for all document search: scope by source/dataset/agency/date via filter, choose content vs titles via search_mode, sweep every source with wide, or discover filter values with facets_only. WHAT THE COUNTS MEAN: in 'content' mode (default) total_count and facet counts are TEXT CHUNKS / EXCERPTS — a single document is split into many chunks, so these counts are much larger than the number of documents and must NOT be reported as a document/report/article count. In 'titles' mode the counts are whole DOCUMENTS / ARTICLES. Use search_mode='titles' whenever the user asks how many documents, reports, or articles there are. Citations are very important to PIA users, so it is strongly expected that your answer: (1) gives every factual claim at least one clickable inline citation in the form [1], numbered sequentially from 1; (2) ends with a References section listing every source you cited, each reference on its own line (never multiple references on one line) — omit this section only for a pure count or summary with nothing specific to cite; and (3) includes a Find Out More section with the govquery_url so the user can open the full result set. Please do not present findings from these results without their inline citations and References section. Counts from free-text queries are approximate, because semantic search matches variations of the search terms.

pia_oversight_recommendationsA

Search oversight recommendations (Open Recommendations dataset) with facets enabled by default. Today's date is 2026-06-25. This dataset contains recommendations from GAO and Oversight.gov only — SourceDocumentDataSource filters for any other source will be ignored. Do NOT filter by SourceDocumentDataSet — this tool already targets the 'Open Recommendations' dataset automatically. IMPORTANT: When a text query is provided, do NOT add a referenced_agencies filter — the query handles relevance matching. Only use referenced_agencies when the query is empty (pure filter/facet lookups). total_count is the number of OPEN recommendations matching the query and all applied filters — report it as that count. The results are a representative sample to summarize, and facets break the set down by status, priority, agency, and theme. Counts from free-text queries are approximate (semantic matching); pure filter or agency lookups are exact. Recommendations have no per-document citations, so it is very important to always include the govquery_url for the full set in Rec Spotlight rather than citing individual rows.

Prompts

Interactive templates invoked by user choice

NameDescription
pia_assistant_guidanceComprehensive guidance for an LLM using PIA (GovQuery) tools: search strategy, citation format, and output structure

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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