Bring Federal Procurement
to CrewAI
Learn how to connect DOD Contracts (FPDS) to CrewAI 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 CrewAI?
When paired with CrewAI, DOD Contracts (FPDS) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call DOD Contracts (FPDS) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
DOD Contracts (FPDS) in CrewAI
DOD Contracts (FPDS) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect DOD Contracts (FPDS) to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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