How do I get a Client ID and Secret for Fusioo?

Log in to your Fusioo workspace, navigate to Integrations > Custom Integrations, and create a new integration to retrieve your Client ID and Client Secret.

Where do I find my App ID or Record ID?

Open any record in your Fusioo app, click the options menu (three dots), and select 'Developer Information' to see the IDs for the App, Record, and Fields.

Can I filter records through the agent?

The 'list_app_records' tool retrieves the most recent records. For advanced filtering, ensure you have the correct App ID or use the 'get_record_details' if you have the specific ID.

What is the difference between an App and a Record?

In Fusioo, an App is a collection or database table (e.g., 'Projects'), while a Record is a specific entry in that collection (e.g., 'Website Launch').

Fusioo MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Fusioo
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Fusioo through Vinkius, pass the Edge URL in the `mcps` parameter and every Fusioo 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="Fusioo Specialist",
    goal="Help users interact with Fusioo effectively",
    backstory=(
        "You are an expert at leveraging Fusioo 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 Fusioo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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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 Fusioo MCP Server

Connect your Fusioo workspace to any AI agent to automate your project management and database workflows through the Model Context Protocol (MCP). Fusioo is a highly customizable workspace platform that allows you to build your own apps to manage everything from CRM to project tracking. This MCP server enables you to retrieve app schemas, manage individual records, and monitor workspace activity directly through natural conversation.

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

Key Features

Custom App Oversight — List all apps in your workspace and fetch detailed schemas including field definitions and unique IDs.
Record Management — Access and retrieve data from any of your custom apps, or create and update records programmatically.
Data Quantification — Get real-time record counts for specific apps to track project volume or lead growth.
Teammate Collaboration — List workspace users and teammates to maintain full context of who is involved in each app.
Dashboard Insights — Access configured widgets and saved reports to get high-level snapshots of your data.
User Identity — Fetch profile information for the authenticated API identity to verify access levels.
Real-time Synchronization — Keep your custom database records accessible to your AI assistant without leaving your primary workspace.

The Fusioo MCP Server exposes 12 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 Fusioo to CrewAI via MCP

Follow these steps to integrate the Fusioo 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 12 tools from Fusioo

Why Use CrewAI with the Fusioo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Fusioo 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

Fusioo + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Fusioo 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 Fusioo, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Fusioo 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 Fusioo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Fusioo MCP Tools for CrewAI (12)

These 12 tools become available when you connect Fusioo to CrewAI via MCP:

create_app_record

Add a new record

get_app_record_count

Get total record count

get_app_schema

Get app metadata

get_my_identity

Get current user

get_record_details

Get record metadata

list_app_records

List records in app

list_apps

List all Fusioo apps

list_dashboard_widgets

List widgets

list_workspace_reports

List available reports

list_workspace_users

List teammates

update_app_record

Modify a record

verify_api_connection

Check connection

Example Prompts for Fusioo in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Fusioo immediately.

"List all the custom apps in my Fusioo workspace."

"Get the last 5 records from the 'Projects' app (ID: app_123)."

"How many records are currently in my 'Leads' app (ID: app_789)?"

Troubleshooting Fusioo MCP Server with CrewAI

Common issues when connecting Fusioo 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.

Fusioo + CrewAI FAQ

Common questions about integrating Fusioo 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.