How to Use the HigherGov MCP in LlamaIndex

Index federal procurement data with LlamaIndex for RAG-powered insights on government contracts.

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Connect HigherGov MCP to LlamaIndex

Create your Vinkius account to connect HigherGov 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 HigherGov with LlamaIndex

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Build a searchable federal knowledge base

Index the output of `list_opportunities` directly into your vector store. Your LlamaIndex application creates a persistent, queryable archive of every relevant solicitation. Your agents answer questions based on actual agency notices, not hallucinations. You get grounded, specific answers about federal requirements.

Ground AI in live federal data

Use `get_contract` and `get_grant` to feed live records into your RAG pipeline. This gives your agent instant access to current award terms and conditions. Instead of stale documents, your index reflects the latest federal procurement reality. You query the index to compare terms across different agencies.

Query agency performance records

Fetch agency details using `get_agency` and include them in your knowledge base. LlamaIndex then associates these agency profiles with the contracts they award. This creates a unified view of agency behavior. You ask your agent which agencies are currently funding your specific technical niche and get an evidence-backed answer.

Setup guide

Set up HigherGov 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 HigherGov 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 HigherGov tools.",
)
response = await agent.run("List recent HigherGov 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 HigherGov. 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 HigherGov MCP in LlamaIndex

You use the McpToolSpec to load tools into your indexer. LlamaIndex then executes the tools, converts the results into documents, and embeds them for semantic search.

Yes. Your agents perform semantic searches over the indexed HigherGov data. This allows for complex questions that span multiple contract awards and agency records.

It does. By treating tool outputs as data sources, you build RAG applications that answer questions about federal solicitations using live, accurate records.

Your indexer triggers a refresh of the tools. LlamaIndex pulls the latest records, ensuring your RAG application has the most recent federal procurement information.

Your index resides in your own environment. The HigherGov server only acts as a secure, ephemeral gateway for fetching the raw federal data you choose to index.

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