DOD Contracts MCP for AI. Find federal spending data by department code.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Use the search_contracts tool to query the Federal Procurement Data System (FPDS), giving you direct access to massive government spending records.
Filter and analyze Department of Defense (DOD) contracts and federal contract awards using standardized FPDS syntax directly from your AI agent.
What your AI can do
Search contracts
Searches the federal contracts database using FPDS Atom Feed, allowing you to specify Department IDs (like '9700') or Agency Codes in your query.
Isolates records filtered specifically for Department of Defense activity using required departmental identifiers.
Runs complex queries across the entire FPDS database using established federal search parameters.
Retrieves past contract awards and spending data to identify predictable procurement cycles.
Handles massive result sets by allowing you to fetch data in manageable batches, avoiding timeouts.
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DOD Contracts (FPDS): 1 Tool Available
This tool lets you query the FPDS feed to search federal contract records by specifying department or agency codes.
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Start using DOD Contracts (FPDS) on VinkiusSearch Contracts
Searches the federal contracts database using FPDS Atom Feed, allowing you to specify Department IDs (like '9700') or Agency Codes in your...
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 1 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Keeping track of who gets federal contracts is a nightmare.
Today, finding out which company won what contract requires jumping between multiple government portals. You search one site for 'defense,' then another for the specific department's budget, and finally copy-paste the results into a spreadsheet just to get a basic picture of spending.
With this MCP, you bypass all that clicking and searching. Your agent runs a single query using your desired parameters, pulling everything—all contract entries across multiple agencies—and hands you a consolidated record set.
Search contracts via the search_contracts tool gives you complete visibility.
You don't have to manually filter by department ID or agency code in complex web forms anymore. The agent handles that filtering instantly, giving you only what matters for your specific research scope.
The system now provides a single, powerful point of access to the entire federal contract database. It cuts out hours of tedious manual cross-referencing.
What your AI can actually do with this
Monitoring federal spending used to mean manually navigating complex, siloed government websites. Now, this MCP lets you query the entire Federal Procurement Data System record set right through your AI client. You can track everything from basic procurement actions to major contract awards across all federal agencies. If you need visibility into who's getting paid for defense projects or what specific agency is spending money on cloud infrastructure, this tool delivers the raw data.
By connecting it via Vinkius, you get immediate access to thousands of other specialized services alongside government records. You can filter results specifically for the Department of Defense using department or agency codes, making competitor tracking and opportunity identification simple. Just ask your agent to search federal contracts, and it handles the rest.
019e388c-5621-728c-869f-6d36f3dafbaf Here's how it actually works
The bottom line is you get immediate access to deep, raw government spending data without needing to know complex database syntax.
First, subscribe to this MCP and configure your access credentials within Vinkius.
Next, prompt your AI agent with specific search criteria—for example, targeting a specific department ID or agency code.
Finally, the tool executes the query against the FPDS feed, returning structured XML data containing contract entries.
Who is this actually for?
Government contractors and defense analysts need this. If tracking who's bidding on federal projects or validating public spending details is part of your job, you'll use this MCP every day.
Tracks competitor contract awards and identifies emerging procurement trends within the Department of Defense.
Monitors federal spending patterns to find new market opportunities or assess competitor activity.
Extracts raw contract data and records for public transparency reports or deep financial analysis.
What Changes When You Connect
Pinpoint specific DOD contracts. Instead of sifting through thousands of irrelevant records, you can filter results directly for the Department of Defense using standard codes and syntax.
Analyze vendor performance quickly. Use this MCP to track historical spending patterns and identify which contractors repeatedly win bids across different agencies.
Get raw data for deep analysis. The tool returns structured XML contract entries, perfect for feeding into your own data warehouse or reporting system.
Manage large queries easily. You don't have to download massive files; the MCP supports pagination, letting you fetch results in smaller, manageable batches of 10.
Query any federal agency. While it shines on DOD contracts, it allows searching across various agencies using standard FPDS search syntax.
See it in action
Assessing Competitor Movements
A defense firm needs to know what rivals are winning in cybersecurity. They ask their agent to use the search_contracts tool, targeting DOD contracts with 'cybersecurity.' The agent pulls a list of recent awards and award amounts for review.
Verifying Public Spending
A journalist is researching federal transparency regarding cloud migration. They instruct their agent to run a search_contracts query, focusing on 'cloud services' across multiple agencies to build an article detailing public spending habits.
Projecting Market Needs
A market analyst wants to predict future defense budgets for networking hardware. They use the MCP to run a search_contracts query over the last five years, analyzing trends in awarded contracts using department IDs.
The honest tradeoffs
Searching vaguely by keyword
Asking your agent simply, 'Show me all defense spending.' This generates thousands of hits with no context or focus.
Be precise. Use the search_contracts tool and specifically include DEPARTMENT_ID:"9700" to limit results immediately to DOD records.
Overlooking pagination
Running a query that returns 500+ records, causing your agent to time out or only show the first page of data.
Always assume large result sets. Use the tool's capability for batch fetching by incorporating the start parameter in your search_contracts call.
When It Fits, When It Doesn't
Use this MCP if you need to validate spending details against official, structured government records from the FPDS feed. If your goal is pure data mining and identifying patterns based on criteria like department ID or agency code, this tool works perfectly. Don't use it if your primary task involves reading subjective legal arguments or interpreting unstructured documents (like handwritten meeting minutes); for that, you need a specialized document analysis model. This MCP delivers structured records; it doesn't interpret the narrative meaning of those records.
Questions you might have
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 do I first set up the connection for `search_contracts`? +
You must configure your access identifier within Vinkius first. Once connected, your AI agent can run search_contracts against the live FPDS feed without needing credentials in every prompt.
What format does `search_contracts` return? +
The tool returns raw XML data containing all contract entries. Your agent reads this structured XML, letting you parse it into clean tables or extract specific data points easily.
What should I do if `search_contracts` throws an error? +
If the search fails, check your syntax carefully and ensure all required parameters are included. The agent will provide specific error codes detailing exactly what needs fixing for a successful run.
Are there rate limits when using `search_contracts`? +
While the underlying feed manages throughput, making too many rapid calls might trigger temporary slowdowns. We recommend adding small delays between consecutive search_contracts runs to maintain performance.
Can I filter federal contracts results using `search_contracts` by date range? +
Yes, you can integrate specific date parameters into your sQuery syntax. Use the appropriate date fields to narrow the search window for contract activity within any specified timeframe.
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