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How to integrate Highergov MCP with CrewAI

Connect CrewAI to Highergov MCP. List recent federal contract awards for it services, show all active dla contract opportunities today, and more using natural language, with authentication handled for you.

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Highergov is a market intelligence platform for U.S. government contracts and grants. Get comprehensive public sector data to inform business development and research.

16 Tools

Introduction

This guide walks you through connecting Highergov to CrewAI using the Composio tool router. By the end, you'll have a working Highergov agent that can search government contracts and opportunities, find grant programs, look up agencies and people, track pursuits, and fetch SBIR opportunities through natural language commands.

This guide will help you understand how to give your CrewAI 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

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Highergov connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Highergov
  • Build a conversational loop where your agent can execute Highergov operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Highergov connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Highergov via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Highergov MCP URL
6

Create a Composio Tool Router session for Highergov

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["highergov"])

url = session.mcp.url
What's happening:
  • You create a Highergov only session through Composio
  • Composio returns an MCP HTTP URL that exposes Highergov tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Highergov and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["highergov"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Highergov through Composio's Tool Router. The agent can perform Highergov operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS

Supported Tools

Every Highergov action and event your agent gets out of the box.

Get Agencies

Retrieves government agency information from the HigherGov database with pagination support.

Get Contracts

Retrieve federal government contract data from HigherGov.

Get Contract Vehicles

Retrieve federal multi-award contract vehicles from HigherGov.

Get Documents

Retrieve paginated document metadata associated with government opportunities, contracts, and grants using a related key from a document path.

Get Grant History

Tool to fetch historical data on grants from the HigherGov API.

Get Grant Opportunities

Retrieve government grant and contract opportunities from HigherGov.

Get Grant Programs

Tool to retrieve information on grant programs.

Get NAICS Codes

Retrieve NAICS (North American Industry Classification System) codes with detailed descriptions.

Get Opportunity History

Retrieve historical opportunity data from HigherGov with pagination support.

Get People

Retrieves contact information for federal and state/local government personnel from HigherGov.

Get Product and Service Codes

Tool to retrieve information on Product and Service Codes.

Get Pursuits

Retrieve HigherGov pursuits with optional user and status filters and pagination.

Get SBIR Opportunities

Retrieve SBIR (Small Business Innovation Research) opportunities from HigherGov.

Get SLED Contract Opportunities

Retrieve opportunities from HigherGov's general Opportunity endpoint with optional filters and pagination.

Get Subcontract Awards

Retrieves federal subcontract award data from HigherGov.

Get Subgrant Awards

Retrieves federal subgrant award data from HigherGov.

FRAMEWORKS

How to build Highergov MCP Agent with another framework

Claude Code logo

Claude Code

Use Highergov MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Highergov MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Highergov MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Highergov MCP with Claude Agent SDK

Codex logo

Codex

Use Highergov MCP with Codex

OpenClaw logo

OpenClaw

Use Highergov MCP with OpenClaw

Hermes logo

Hermes

Use Highergov MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Highergov MCP with Atomic Agent

Google ADK logo

Google ADK

Use Highergov MCP with Google ADK

LangChain logo

LangChain

Use Highergov MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Highergov MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Highergov MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Highergov MCP with LlamaIndex

Pydantic AI logo

Pydantic AI

Use Highergov MCP with Pydantic AI

AutoGen logo

AutoGen

Use Highergov MCP with AutoGen

FAQ

Frequently asked questions

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.

Yes, you can. CrewAI 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.

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.

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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