Bring Federal Procurement
to Pydantic AI
Learn how to connect DOD Contracts (FPDS) to Pydantic AI and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the DOD Contracts (FPDS) MCP Server?
Connect your AI agent to the Federal Procurement Data System (FPDS) to monitor government spending and analyze contract awards in real-time.
What you can do
- Contract Search — Query the massive database of federal procurement actions using standard FPDS search syntax.
- DOD Targeting — Specifically isolate Department of Defense data by filtering for Department ID '9700' or Agency Code '9700'.
- Market Intelligence — Track vendor performance, identify upcoming procurement trends, and analyze historical spending patterns.
- Pagination Support — Navigate through large result sets using the start parameter to fetch data in batches of 10.
How it works
- Subscribe to this server
- Configure your access identifier
- Start querying federal contracts from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Government Contractors — monitor competitors and find new opportunities within the DOD.
- Data Analysts — extract raw XML contract data for spending analysis and reporting.
- Journalists & Researchers — track government transparency and public spending across federal agencies.
Built-in capabilities (1)
To target DOD contracts, include DEPARTMENT_ID:"9700" or AGENCY_CODE:"9700" in the sQuery parameter. Returns XML data containing contract entries. Search federal contracts via FPDS Atom Feed
Why Pydantic AI?
Pydantic AI validates every DOD Contracts (FPDS) tool response against typed schemas, catching data inconsistencies at build time. Connect 1 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DOD Contracts (FPDS) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your DOD Contracts (FPDS) connection logic from agent behavior for testable, maintainable code
DOD Contracts (FPDS) in Pydantic AI
DOD Contracts (FPDS) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect DOD Contracts (FPDS) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DOD Contracts (FPDS) in Pydantic AI
The DOD Contracts (FPDS) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
DOD Contracts (FPDS) for Pydantic AI
Every tool call from Pydantic AI to the DOD Contracts (FPDS) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I specifically target Department of Defense (DOD) contracts?
To target DOD contracts, include DEPARTMENT_ID:"9700" or AGENCY_CODE:"9700" in your sQuery parameter when using the search_contracts tool.
Can I paginate through large sets of contract results?
Yes. The search_contracts tool supports a start parameter. Results are returned in batches of 10, so you can increment the start number (e.g., 10, 20, 30) to see more records.
What search syntax should I use for the sQuery parameter?
The search_contracts tool uses the standard FPDS Atom Feed search syntax. You can search by keywords, or use specific fields like VENDOR_NAME:"Example Corp" or PIID:"ContractID".
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your DOD Contracts (FPDS) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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