How to Use the GovCon API MCP in LlamaIndex

Index procurement data from GovCon API into LlamaIndex for grounded, semantic contract search.

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Connect GovCon API MCP to LlamaIndex

Create your Vinkius account to connect GovCon API to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GovCon API with LlamaIndex

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Search GovCon API data using LlamaIndex

Retrieve contract details via `get_procurement_details` and store them in your vector index. You stop hunting through raw text and start querying your own knowledge base. Your agent uses the indexed data to answer questions about past opportunities. It provides citations back to the source records.

Automate GovCon API ingestion in LlamaIndex

Convert tool outputs into indexable nodes automatically. You build a pipeline where new procurement data is ready for analysis as soon as it hits the server. Your RAG system stays current with live federal data. You never have to worry about stale information in your document store.

Check GovCon API availability via LlamaIndex

Use `check_api_status` as a pre-flight check in your indexing workflow. If the service is down, your agent skips the update and alerts you. This prevents your index from being corrupted by partial or empty responses. You maintain a clean data set at all times.

Setup guide

Set up GovCon API MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all GovCon API MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to GovCon API tools.",
)
response = await agent.run("List recent GovCon API data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GovCon. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GovCon API MCP in LlamaIndex

It converts API responses into vectors. Your agent then performs semantic searches over the procurement details you have gathered.

Use the allowed tools filter to restrict the agent. You only ingest the data that matters for your current project.

The data is as accurate as the source. By indexing it, you reduce hallucinations because the agent grounds its answers in the retrieved records.

Yes. The client supports asynchronous tool calls, allowing your index to refresh without blocking your main application thread.

Your vector store remains under your control. The server only accesses the specific procurement IDs required to populate your private index.

Use it with your favorite AI tools

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