# How to integrate Highergov MCP with Pydantic AI

```json
{
  "title": "How to integrate Highergov MCP with Pydantic AI",
  "toolkit": "Highergov",
  "toolkit_slug": "highergov",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/highergov/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/highergov/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:14:59.338Z"
}
```

## Introduction

This guide walks you through connecting Highergov to Pydantic AI using the Composio tool router. By the end, you'll have a working Highergov agent that can list recent federal contract awards for it services, show all active dla contract opportunities today, retrieve grant history for a specific agency through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Highergov account through Composio's Highergov MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Highergov with

- [OpenAI Agents SDK](https://composio.dev/toolkits/highergov/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/highergov/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/highergov/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/highergov/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/highergov/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/highergov/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/highergov/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/highergov/framework/cli)
- [Google ADK](https://composio.dev/toolkits/highergov/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/highergov/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/highergov/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/highergov/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/highergov/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/highergov/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Highergov
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Highergov workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## What is the Highergov MCP server, and what's possible with it?

The Highergov MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Highergov account. It provides structured and secure access to government contracting and grant intelligence, so your agent can perform actions like searching contracts, analyzing award history, retrieving agency details, and fetching grant data on your behalf.
- Comprehensive contract search and retrieval: Quickly have your agent look up federal contracts, filter by last modified date, or leverage saved searches to find exactly what you need.
- Award and grant history analysis: Direct your agent to access detailed award and grant histories, making it simple to track funding trends across agencies or time periods.
- Agency and program intelligence: Ask your agent to list and explore government agencies, defense programs, or contract vehicles to support your market research.
- Document and opportunity extraction: Let your agent fetch associated documents or list DLA contract opportunities for deeper due diligence and competitive analysis.
- IDV and contract vehicle tracking: Monitor Indefinite Delivery Vehicles (IDVs) and contract vehicles to better understand procurement patterns and strategic opportunities.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HIGHERGOV_GET_AGENCIES` | Get Agencies | Retrieves government agency information from the HigherGov database with pagination support. Use this tool to: - List all federal agencies with details like name, abbreviation, type, and hierarchy - Search for a specific agency by its unique agency_key identifier - Navigate through paginated results of agencies (28,000+ agencies available) The response includes agency hierarchy levels (level_1 through level_7) showing parent-child relationships between agencies, along with pagination metadata for browsing through results. |
| `HIGHERGOV_GET_CONTRACTS` | Get Contracts | Retrieve federal government contract data from HigherGov. Returns paginated list of contracts with details including awardees, agencies, amounts, dates, NAICS/PSC codes, and performance information. Supports filtering by date, search criteria, award ID, awardee, agency, industry codes, and more. Data updates daily by 2am for two days prior. |
| `HIGHERGOV_GET_CONTRACT_VEHICLES` | Get Contract Vehicles | Retrieve federal multi-award contract vehicles from HigherGov. Contract vehicles are pre-established contracting mechanisms that streamline procurement. Use this to list available vehicles with optional filtering by vehicle key and sorting by award date. Supports pagination with up to 100 records per page. Updated ad hoc as new awards are made. |
| `HIGHERGOV_GET_DOCUMENTS` | Get Documents | Retrieve document metadata and download URLs for files associated with government opportunities, contracts, and grants from HigherGov. **When to use:** After calling Get Opportunities, Get Contracts, or Get Grants, use this tool to fetch the actual documents (RFPs, amendments, attachments, etc.) associated with those records. **How to use:** 1. First call Get Opportunities, Get Contracts, or Get Grants 2. Extract the 'document_path' field from the response 3. Parse the 'related_key' parameter from that document_path URL 4. Pass that related_key to this tool to retrieve the documents **Important notes:** - Download URLs expire after 60 minutes; retrieve new URLs by calling this endpoint again - Some opportunities/contracts/grants may have no associated documents (returns empty results) - Results are paginated; use page and page_size parameters for large document sets |
| `HIGHERGOV_GET_GRANT_HISTORY` | Get Grant History | Tool to fetch historical data on grants from the HigherGov API. REQUIRED: At least one filter parameter (award_id or last_modified_date) must be provided. Use cases: - Retrieve history for a specific grant by award_id - Retrieve grants modified since a specific date using last_modified_date - Paginate through results using page and page_size parameters |
| `HIGHERGOV_GET_GRANT_OPPORTUNITIES` | Get Grant Opportunities | Retrieve government grant and contract opportunities from HigherGov. Returns Federal contracts, SLED (State/Local) opportunities, grants, and SBIR opportunities with comprehensive details including agency info, dates, contacts, and award estimates. Use this when you need to: - Find government opportunities by date (posted_date or captured_date recommended) - Search for opportunities with specific keywords - Filter opportunities by agency, status, or other criteria - Get detailed opportunity information including contact details and documents REQUIRED: Must provide at least one filter (posted_date, captured_date, search_id, source_id, agency_key, opp_key, or version_key). For best results, use posted_date or captured_date with optional keyword filtering. |
| `HIGHERGOV_GET_GRANT_PROGRAMS` | Get Grant Programs | Tool to retrieve information on grant programs. Use when you need to list available grant programs with pagination. |
| `HIGHERGOV_GET_NAICS` | Get NAICS Codes | Retrieve NAICS (North American Industry Classification System) codes with detailed descriptions. Returns a paginated list of NAICS codes that can be filtered by code prefix and sorted. Useful for finding industry classifications, understanding NAICS hierarchies, and identifying relevant codes for business categorization. |
| `HIGHERGOV_GET_OPPORTUNITY_HISTORY` | Get Opportunity History | Retrieve historical opportunity data from HigherGov with pagination support. This tool requires at least one identifying filter (captured_date, opp_key, version_key, search_id, posted_date, source_id, or agency_key). Most commonly used with captured_date to get all opportunities from a specific date, optionally filtered by source_type ('sam' or 'sled'). Returns paginated results with comprehensive opportunity details including title, description, agency, dates, contact information, and links to documents. |
| `HIGHERGOV_GET_PEOPLE` | Get People | Retrieves contact information for federal and state/local government personnel from HigherGov. Returns detailed contact records including names, titles, emails, phone numbers, and affiliated agencies. Data is updated in real-time. Use this to find government contacts, especially when you have an email address or need to browse through personnel listings. Common use cases: - Find contact details for a specific government employee by email - Browse government personnel with pagination - Get the most recently updated contacts using ordering |
| `HIGHERGOV_GET_PSC` | Get Product and Service Codes | Tool to retrieve information on Product and Service Codes. Use when fetching PSC entries with optional pagination and filtering by code. |
| `HIGHERGOV_GET_PURSUITS` | Get Pursuits | Tool to retrieve user-specific pursuits. Use when you need to fetch a user's pursuits with optional filtering by status and pagination. |
| `HIGHERGOV_GET_SBIR_OPPORTUNITIES` | Get SBIR Opportunities | Retrieve SBIR (Small Business Innovation Research) opportunities from HigherGov. SBIR is a U.S. government program that provides funding to small businesses for research and development with commercialization potential. This action retrieves SBIR opportunities from federal agencies. By default, retrieves opportunities captured since 2024-01-01. Use filters to narrow results by specific dates, agencies, or opportunity identifiers. Supports pagination for large result sets. Key use cases: - Find recent SBIR opportunities for a specific federal agency - Track SBIR opportunities by capture/posting dates - Retrieve details for specific SBIR opportunities by ID - Monitor new SBIR opportunities added to the system Note: At least one filter parameter (captured_date, posted_date, search_id, source_id, agency_key, opp_key, or version_key) is required by the API. The action provides captured_date with a sensible default. |
| `HIGHERGOV_GET_SLED_CONTRACT_OPPORTUNITIES` | Get SLED Contract Opportunities | Tool to retrieve state and local (SLED) contract opportunities. Uses the general Opportunity endpoint with optional filters. |
| `HIGHERGOV_GET_SUBCONTRACT_AWARDS` | Get Subcontract Awards | Retrieves federal subcontract award data from HigherGov. Returns paginated subcontract records with details about subcontract recipients, amounts, prime contracts, and awarding agencies. **Important**: At least one filter parameter (last_modified_date or search_id) is required by the API. Use this when you need to: - Find subcontracts modified on a specific date - List subcontracts from a saved HigherGov search - Access detailed subcontract award information including recipient details and prime contract relationships Data is updated weekly. Use the last_modified_date field to track updates. |
| `HIGHERGOV_GET_SUBGRANT_AWARDS` | Get Subgrant Awards | Retrieves federal subgrant award data from HigherGov. Returns paginated subgrant records with details about subgrant recipients, funding amounts, associated prime grants, and program information. **Important**: At least one filter parameter (last_modified_date or search_id) is required by the API. Use this when you need to: - Find subgrant awards modified on a specific date - List subgrant awards from a saved HigherGov search - Access detailed subgrant award information including recipient details and prime grant relationships Data is updated regularly. Use the last_modified_date field to track updates. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Highergov MCP server is an implementation of the Model Context Protocol that connects your AI agent to Highergov. It provides structured and secure access so your agent can perform Highergov operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Highergov
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Highergov
- MCPServerStreamableHTTP connects to the Highergov MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to Highergov tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Highergov
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["highergov"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Highergov endpoint
- The agent uses GPT-5 to interpret user commands and perform Highergov operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
highergov_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[highergov_mcp],
    instructions=(
        "You are a Highergov assistant. Use Highergov tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Highergov API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Highergov.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Highergov
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["highergov"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    highergov_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[highergov_mcp],
        instructions=(
            "You are a Highergov assistant. Use Highergov tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Highergov.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You've built a Pydantic AI agent that can interact with Highergov through Composio's Tool Router. With this setup, your agent can perform real Highergov actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Highergov for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build Highergov MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/highergov/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/highergov/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/highergov/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/highergov/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/highergov/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/highergov/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/highergov/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/highergov/framework/cli)
- [Google ADK](https://composio.dev/toolkits/highergov/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/highergov/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/highergov/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/highergov/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/highergov/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/highergov/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Highergov MCP?

With a standalone Highergov MCP server, the agents and LLMs can only access a fixed set of Highergov tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Highergov and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Highergov tools.

### Can I manage the permissions and scopes for Highergov while using Tool Router?

Yes, absolutely. You can configure which Highergov scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Highergov data and credentials are handled as safely as possible.

---
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