How do I get an API Token for Fulcrum?

Log in to your Fulcrum web app, click the Settings (gear icon), select 'API', and you can generate a new API Token.

Can I run SQL queries on my field data?

Yes! Use the 'query_records_sql' tool. Provide a standard SQL statement (e.g., SELECT * FROM "form_id") to instantly retrieve filtered datasets.

Is it possible to see the schema of a form?

Absolutely. The 'get_form_schema' tool retrieves the complete JSON definition of a form, including all its field keys, data types, and validation rules.

Can I programmatically create a new record?

Yes, you can use the 'create_record' tool. You will need the Form ID, latitude, longitude, and a JSON payload containing the specific form values.

Fulcrum MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Fulcrum
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Fulcrum through Vinkius, pass the Edge URL in the `mcps` parameter and every Fulcrum tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Fulcrum Specialist",
    goal="Help users interact with Fulcrum effectively",
    backstory=(
        "You are an expert at leveraging Fulcrum tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Fulcrum "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, Fulcrum becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Fulcrum tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Fulcrum MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Fulcrum

Why Use CrewAI with the Fulcrum MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Fulcrum through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Fulcrum + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Fulcrum MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Fulcrum for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Fulcrum, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Fulcrum tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Fulcrum against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Fulcrum MCP Tools for CrewAI (10)

These 10 tools become available when you connect Fulcrum to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Fulcrum to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Fulcrum + CrewAI FAQ

Common questions about integrating Fulcrum MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.