How to Use the Fulcrum MCP in AutoGen

Q: How do I load Fulcrum tools into AutoGen?

Use mcpservertools with StreamableHttpServerParams. The built-in adapter automatically converts the tool definitions so your AssistantAgent can read them.

Q: Can multiple agents access the API simultaneously?

Yes. You can restrict queryrecordssql to your analyst agent while giving createrecord permissions strictly to your data entry agent.

Q: How do AutoGen agents handle Fulcrum errors?

They recognize the failure and strategize a fix. If checkapistatus returns an error, a diagnostic agent suggests waiting or checking the endpoint token before retrying.

Deploy multi-agent AutoGen teams to audit and manage your Fulcrum field operations.

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Connect Fulcrum MCP to AutoGen

Create your Vinkius account to connect Fulcrum 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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Setup Fulcrum with AutoGen

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Audit field records through agent debate

You can assign different AutoGen agents to cross-check your field data through this MCP server. A data retrieval agent calls `list_field_records` to pull recent site inspections. It passes the raw JSON to a compliance agent, which uses `get_record_details` to verify that all mandatory metadata and timestamps exist. When the compliance agent spots an anomaly, it pushes back. The agents debate the discrepancy, with one arguing for a data correction while the other checks the original submission constraints. This multi-agent friction catches errors that a simple script would miss.

Delegate Fulcrum MCP Server administration

AutoGen handles administrative busywork perfectly. You can build a security agent that regularly runs `list_organization_members` and `list_member_roles`. It compares the active user list against your internal directory, looking for stale accounts or over-permissioned users. Another agent focuses on system integrations by checking `list_webhooks`. If it finds an undocumented webhook, it alerts the security agent. They negotiate whether to flag it for human review or ignore it, keeping your environment clean without manual audits.

Coordinate form submissions with AutoGen

Writing data back to your account requires strict formatting. An entry agent first calls `get_form_schema` to learn the exact field requirements for a specific application. It checks data types and required fields before attempting any writes. Once the entry agent formats the payload, an execution agent takes over. It verifies the connection with `check_api_status` and then calls `create_record` to finalize the submission. By splitting the work, you isolate the formatting logic from the actual MCP API interaction.

Setup guide

Set up Fulcrum MCP in AutoGen

Prerequisites

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

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

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

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Fulcrum 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="Fulcrum_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
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"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Fulcrum_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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Common questions about Fulcrum MCP in AutoGen

Use mcp_server_tools with StreamableHttpServerParams. The built-in adapter automatically converts the tool definitions so your AssistantAgent can read them.

Yes. You can restrict `query_records_sql` to your analyst agent while giving `create_record` permissions strictly to your data entry agent.

They recognize the failure and strategize a fix. If `check_api_status` returns an error, a diagnostic agent suggests waiting or checking the endpoint token before retrying.

They learn them dynamically. Before attempting to write new data, the agent calls `get_form_schema` to map out the exact requirements and constraints.

Your webhook URLs and organizational member lists remain strictly isolated. The MCP server operates on an ephemeral basis, authenticating via a single endpoint token so your agents only access what you explicitly configure.

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