usaspending-gov-mcp 0.1.1

MCP server for USASpending.gov federal contract and award data

usaspending-gov-mcp

MCP server for the USASpending.gov federal contract and award data API.

No API key required. Works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, Cline, Continue, Zed, etc.).

What it does

Exposes the USASpending.gov REST API as 17 MCP tools covering:

Search and aggregation

• search_awards - Primary search for contracts, IDVs, grants, loans, direct payments
• get_award_count - Dimensional counts across award categories
• spending_over_time - Time series aggregation (fiscal year, quarter, month)
• spending_by_category - Top N breakdowns by agency, vendor, NAICS, PSC, state, etc.

Award detail

• get_award_detail - Full record for a single award
• get_transactions - Full modification history for an award
• get_award_funding - File C funding data (Treasury account, object class, program activity)
• get_idv_children - Task/delivery orders under an IDV

Workflow convenience

• lookup_piid - Auto-detects contract vs IDV and returns the matching award

Autocomplete

• autocomplete_psc - Product/Service Code lookup
• autocomplete_naics - NAICS code lookup

Reference data

• list_toptier_agencies - All federal agencies
• get_agency_overview - Agency summary by toptier code and fiscal year
• get_agency_awards - Agency award totals by category
• get_naics_details - NAICS code details (2-6 digit)
• get_psc_filter_tree - PSC hierarchy, drillable
• get_state_profile - State-level spending profile by FIPS code

Installation

Via pip

pip install usaspending-gov-mcp

Via uvx (recommended, no venv needed)

uvx usaspending-gov-mcp

From source

git clone https://github.com/1102tools/usaspending-gov-mcp.git
cd usaspending-gov-mcp
pip install -e .

Claude Desktop configuration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "usaspending": {
      "command": "uvx",
      "args": ["usaspending-gov-mcp"]
    }
  }
}

If you installed via pip install -e . or a regular pip install:

{
  "mcpServers": {
    "usaspending": {
      "command": "python",
      "args": ["-m", "usaspending_gov_mcp.server"]
    }
  }
}

Restart Claude Desktop. The server should appear in the MCP tools panel.

Claude Code configuration

Add to ~/.claude.json or your project's .claude.json:

{
  "mcpServers": {
    "usaspending": {
      "command": "uvx",
      "args": ["usaspending-gov-mcp"]
    }
  }
}

Example prompts

Once configured, try:

• "Show me the top 10 NAVSEA contracts awarded in FY2025 by dollar value."
• "Find all software development contracts at NASA with sole-source justifications in the last year."
• "How much has Leidos received in federal awards since 2020? Group by fiscal year."
• "What are the top 15 recipients of HUBZone set-aside contracts at DoD?"
• "Pull the full modification history for PIID N00024-24-C-0085."
• "Compare FFP vs T&M award counts for IT services at Air Force in FY2024."

Design notes

• No authentication required. USASpending.gov is a free, public API.
• Award type groups cannot be mixed. The award_type parameter takes one of: contracts, idvs, grants, loans, direct_payments, other. Use separate calls for separate categories.
• Actionable error messages. Common API errors (422 mixed award types, 400 sort field missing, 400 empty keywords) are translated into guidance for the calling LLM.
• Sort field auto-handling. The USASpending API requires the sort field to appear in the fields array; this server adds it automatically.
• Sensible defaults. Search limits default to 25 (API max 100). Default fields cover the most common columns for each award category.
• Flat filter parameters. Most common filters are surfaced as named parameters (keywords, awarding_agency, naics_codes, etc.) rather than a nested filter dict, for better LLM tool discovery.

Data source

All data is sourced from USASpending.gov, which aggregates FPDS-NG contract data, FAADC assistance data, and agency DATA Act submissions. FPDS data has a ~1 business day lag.

License

MIT