DOD Contracts (FPDS) MCP Server for LlamaIndexGive LlamaIndex instant access to 1 tools to Search Contracts
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DOD Contracts (FPDS) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The DOD Contracts (FPDS) MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to DOD Contracts (FPDS). "
"You have 1 tools available."
),
)
response = await agent.run(
"What tools are available in DOD Contracts (FPDS)?"
)
print(response)
asyncio.run(main())
* 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
About 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.
LlamaIndex agents combine DOD Contracts (FPDS) tool responses with indexed documents for comprehensive, grounded answers. Connect 1 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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.
The DOD Contracts (FPDS) MCP Server exposes 1 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 DOD Contracts (FPDS) tools available for LlamaIndex
When LlamaIndex connects to DOD Contracts (FPDS) through Vinkius, your AI agent gets direct access to every tool listed below — spanning federal-procurement, government-contracts, defense-spending, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Search contracts on DOD Contracts (FPDS)
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
Connect DOD Contracts (FPDS) to LlamaIndex via MCP
Follow these steps to wire DOD Contracts (FPDS) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the DOD Contracts (FPDS) MCP Server
LlamaIndex provides unique advantages when paired with DOD Contracts (FPDS) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DOD Contracts (FPDS) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DOD Contracts (FPDS) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DOD Contracts (FPDS), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DOD Contracts (FPDS) tools were called, what data was returned, and how it influenced the final answer
DOD Contracts (FPDS) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DOD Contracts (FPDS) MCP Server delivers measurable value.
Hybrid search: combine DOD Contracts (FPDS) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DOD Contracts (FPDS) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DOD Contracts (FPDS) for fresh data
Analytical workflows: chain DOD Contracts (FPDS) queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for DOD Contracts (FPDS) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DOD Contracts (FPDS) immediately.
"Search for DOD contracts related to 'cybersecurity' using search_contracts."
"Find federal contracts for 'Lockheed Martin' using search_contracts."
"Get the next 10 results for the DOD 'cloud services' search using search_contracts with start=10."
Troubleshooting DOD Contracts (FPDS) MCP Server with LlamaIndex
Common issues when connecting DOD Contracts (FPDS) to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDOD Contracts (FPDS) + LlamaIndex FAQ
Common questions about integrating DOD Contracts (FPDS) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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