- STATISTICS
- TRENDS
- AUDIT
- HUMAN
Short answer
How can I use AI to analyze FOIA agency reports?
Your AI uses the FOIA.gov Connector to pull raw XML annual reports directly from the source. It then processes these files to calculate processing times and agency performance trends. You get a clear statistical breakdown of agency transparency.
Data outcomes
What you get from the analysis
The AI turns raw XML into these specific outputs.
STATISTICS
Performance metrics
The AI calculates average processing times and volume trends from the XML data. You get hard numbers on how quickly agencies handle requests.
TRENDS
Year-over-year changes
By comparing multiple annual reports, your agent identifies if an agency is getting faster or falling behind. This highlights long-term transparency shifts.
AUDIT
Backlog identification
The AI scans report data to find specific agencies struggling with request volumes. You'll see exactly where bottlenecks are forming.
HUMAN
Final report review
The AI provides the raw calculations and summaries. You must review these findings to ensure the statistical interpretations match your research goals.
The workflow
What your AI does when the data arrives.
The AI moves from raw XML files to structured statistical insights.
Fetch XML data
Your agent reaches out to FOIA.gov to grab the specific annual report files you need for your study.
get_annual_report_xmlParse report structures
The AI reads the raw XML tags to identify key fields like request dates and agency names.
get_annual_report_xmlRun statistical math
Your agent calculates the mean and median for processing durations across the entire dataset.
get_annual_report_xmlSummarize findings
The AI converts the calculated numbers into a readable summary of agency performance.
get_annual_report_xml
Try it
Copy these to start.
Use these prompts once you've connected the FOIA.gov Connector.
Starting points
These are opening lines. Swap out the agency names or years to match your specific research needs.
FOIA.gov Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_QVJ73jQfdjJfOUeBAPUp0dxxpvTDMFeaMaalwTc0/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — FOIA.gov capabilities are ready to use.
{
"mcpServers": {
"foiagov-freedom-of-information-mcp": {
"url": "https://edge.vinkius.com/vk_preview_QVJ73jQfdjJfOUeBAPUp0dxxpvTDMFeaMaalwTc0/mcp"
}
}
}Get the 2023 annual report XML for the Department of Justice and summarize the total number of requests processed.
Compare the processing times for the FBI versus the CIA using their latest annual reports.
Analyze the 2022 XML report for the EPA and tell me the average number of days it took to close a request.
Identify any agencies in the most recent annual reports that show a significant increase in request backlogs.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect FOIA.gov once, then ask.
Click the link to connect. Your credentials stay encrypted, and you can immediately start asking your AI to pull reports.
Connect FOIA.gov to your AIFAQ
How this task behaves
- 01
Can the AI submit new FOIA requests?
No. This Connector only pulls existing annual report data from FOIA.gov. It cannot submit or track individual new requests.
- 02
Does the AI change the data on the government website?
No. The AI only reads the XML files. It has no ability to modify or delete any government records.
- 03
What format is the data in?
The AI pulls raw XML files, which it then parses to perform its analysis.
- 04
Can I analyze reports from any agency?
Yes, as long as the agency has published its annual reports in the XML format on FOIA.gov.
- 05
Does the AI handle the math itself?
Yes. Once it pulls the XML, your agent performs the statistical calculations like averages and totals.
More questions about FOIA.gov? See everything the FOIA.gov Connector can do
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