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How to Use the HigherGov MCP in AutoGen

Deploy multi-agent teams via AutoGen to debate and execute your federal bidding strategy.

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AutoGen

Connect HigherGov MCP to AutoGen

Create your Vinkius account to connect HigherGov to AutoGen 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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Negotiate bids with multi-agent debate

Assign agents to use `list_opportunities` while another agent critiques the match. They debate the feasibility of each bid based on your firm's profile. This consensus-driven approach stops you from chasing low-margin work. The agents only present opportunities that survive their internal scrutiny.

Cross-reference federal award records

Task a specialized agent with calling `get_awardee` to research your competition. A second agent evaluates the risk of teaming versus competing. They negotiate the final recommendation. You get a decision based on multiple perspectives, not just a single automated search result.

Automate procurement document review

Use an agent to fetch documents via `get_documents` and another to summarize the technical requirements. They reconcile any discrepancies in the text. You avoid missing critical solicitation requirements. The agents highlight potential traps in the documentation that a human might overlook during a quick scan.

Setup guide

Set up HigherGov MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 2

    Fetch tools from the MCP

    Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes HigherGov tools and returns structured results.

agent.py
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="HigherGov_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent HigherGov data")
print(result.messages[-1].content)

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Common questions about HigherGov MCP in AutoGen

Agents share access to the HigherGov toolset. One agent requests data, and others evaluate the output, creating a loop of deliberation and decision-making.
Yes. Agents challenge each other's interpretations of contract awards. This process helps your team identify which federal opportunities are actually worth pursuing.
It does. The McpToolAdapter converts all HigherGov functions into a format your AutoGen agents call natively during their discussions.
You define which agents have which tools. You might give only your lead strategist agent access to `search_by_id`, while others handle the broad list queries.
No. All agent deliberations occur locally within your infrastructure. The MCP server only facilitates the secure retrieval of public federal data.

Start using the HigherGov MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for HigherGov. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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