Fixably MCP Server for CrewAI 12 tools — connect in under 2 minutes
Connect your CrewAI agents to Fixably through Vinkius, pass the Edge URL in the `mcps` parameter and every Fixably tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Fixably Specialist",
goal="Help users interact with Fixably effectively",
backstory=(
"You are an expert at leveraging Fixably 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 Fixably "
"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)
* 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 Fixably MCP Server
Connect your Fixably instance to any AI agent and automate your repair management workflows through the Model Context Protocol (MCP). Fixably provides a comprehensive platform for handling the entire repair lifecycle, from initial order creation to final dispatch. Now, you can manage your service center operations directly through natural conversation.
When paired with CrewAI, Fixably becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Fixably tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Order Management — List all repair orders, fetch detailed order metadata, and create or update orders instantly.
- Customer Oversight — Access your customer database, retrieve specific profiles, and search for accounts by name or email.
- Inventory Tracking — List all stock locations and monitor product availability at specific inventory sites.
- Operational Updates — Post internal notes to orders and update the internal location of devices (e.g., from SERVICE to STORE).
- Document Access — List all files and attachments associated with a repair order for quick reference.
- Real-time Monitoring — Fetch specific order statuses or device locations to keep your service team and customers informed.
The Fixably 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 Fixably to CrewAI via MCP
Follow these steps to integrate the Fixably 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 Fixably
Why Use CrewAI with the Fixably MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Fixably 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
Fixably + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Fixably MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Fixably 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 Fixably, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Fixably 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 Fixably against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Fixably MCP Tools for CrewAI (12)
These 12 tools become available when you connect Fixably to CrewAI via MCP:
add_order_note
Add note to order
change_internal_location
g. SERVICE, STORE). Change device location
create_order
Create a new order
get_customer
Get customer details
get_order
Get order details
get_stock
Get stock details
list_customers
List customers
list_order_files
List files for order
list_orders
List repair orders
list_stock_products
List products in stock
list_stocks
List inventory locations
update_order
Update an order
Example Prompts for Fixably in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Fixably immediately.
"List all active repair orders in Fixably."
"Add a note to order '123': 'Diagnostic complete, waiting for replacement screen'."
"Check the available stock at inventory location 'stock_abc'."
Troubleshooting Fixably MCP Server with CrewAI
Common issues when connecting Fixably to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Fixably + CrewAI FAQ
Common questions about integrating Fixably MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Fixably with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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 Fixably to CrewAI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.