Fulcrum MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Fulcrum as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="fulcrum_agent",
tools=tools,
system_message=(
"You help users with Fulcrum. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Fulcrum MCP Server
Connect your Fulcrum environment to any AI agent to automate your field data collection and mobile inspection workflows through the Model Context Protocol (MCP). Fulcrum is a no-code mobile data collection platform used to build custom apps for field inspections, surveys, and inventory management. This MCP server enables you to retrieve dynamic form schemas, list collected records, and query massive datasets directly through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Fulcrum tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
Key Features
- Form Discovery — List all data collection apps (forms) and fetch detailed schemas including field definitions and validation logic.
- Record Management — Access and retrieve collected field data, or create new records programmatically to keep your database updated.
- Data Querying — Execute powerful SQL queries against the Fulcrum Query API to instantly retrieve and filter large datasets.
- Team Oversight — List all organization members and system roles to manage user access and field workforce deployment.
- Webhook Integration — Monitor configured webhooks to ensure your downstream systems are receiving real-time data syncs.
- Real-time Synchronization — Keep your field intelligence accessible to your AI assistant without leaving your primary workspace.
The Fulcrum MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Fulcrum to AutoGen via MCP
Follow these steps to integrate the Fulcrum MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Fulcrum automatically
Why Use AutoGen with the Fulcrum MCP Server
AutoGen provides unique advantages when paired with Fulcrum through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Fulcrum tools to solve complex tasks
Role-based architecture lets you assign Fulcrum tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Fulcrum tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Fulcrum tool responses in an isolated environment
Fulcrum + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Fulcrum MCP Server delivers measurable value.
Collaborative analysis: one agent queries Fulcrum while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Fulcrum, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Fulcrum data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Fulcrum responses in a sandboxed execution environment
Fulcrum MCP Tools for AutoGen (10)
These 10 tools become available when you connect Fulcrum to AutoGen via MCP:
check_api_status
Verify API connection
create_record
Create data record
get_form_schema
Get form schema
get_record_details
Get record metadata
list_data_forms
List apps/forms
list_field_records
Can be filtered by form ID. List field data records
list_member_roles
g. Owner, Manager, Standard). List roles
list_organization_members
List team members
list_webhooks
List webhook configs
query_records_sql
Query data with SQL
Example Prompts for Fulcrum in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Fulcrum immediately.
"List all active forms/apps in my Fulcrum account."
"Run a SQL query to get the last 5 records from form 'form_123'."
"Show me the field schema for the 'Asset Inventory' form (ID: form_456)."
Troubleshooting Fulcrum MCP Server with AutoGen
Common issues when connecting Fulcrum to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Fulcrum + AutoGen FAQ
Common questions about integrating Fulcrum MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Fulcrum with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Fulcrum to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
