How do I obtain my Fieldfolio API Token?

Log in to your Fieldfolio Seller account, go to **Settings > Integrations**, and click on **Generate API Key**. Note that you must be on a qualifying paid plan to see this option.

Which plans include API access?

API access is available on Fieldfolio's Startup, Business, and Enterprise plans.

Can I update stock levels via this integration?

Yes! The `update_inventory` tool allows you to set new stock quantities for specific products in your catalog flawlessy.

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

Name: Fieldfolio
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Fieldfolio through Vinkius, pass the Edge URL in the `mcps` parameter and every Fieldfolio 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

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Fieldfolio Specialist",
    goal="Help users interact with Fieldfolio effectively",
    backstory=(
        "You are an expert at leveraging Fieldfolio 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 Fieldfolio "
        "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 Fieldfolio MCP Server

Fieldfolio is a leading B2B wholesale marketplace. This MCP server allows your AI agent to interact with your Fieldfolio seller account flawlessly.

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

Key Features

Product Orchestration — List all items in your wholesale catalog and fetch detailed metadata for specific products natively.
Order Management — Retrieve and inspect wholesale orders to stay updated on fulfillment and sales flawlessly.
Inventory Intelligence — Query real-time stock levels and update inventory quantities directly from the agent flawlessy.
Customer CRM — Access retail customer profiles and order history to personalize business relationships flawlessly.
Catalog Search — Search your entire wholesale catalog by keyword to quickly find specific items flawlessly.
Webhook Auditing — List active webhooks to ensure your third-party integrations are synchronized flawlessly.

The Fieldfolio 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 Fieldfolio to CrewAI via MCP

Follow these steps to integrate the Fieldfolio 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 Fieldfolio

Why Use CrewAI with the Fieldfolio MCP Server

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

Fieldfolio + CrewAI Use Cases

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

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

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

Fieldfolio MCP Tools for CrewAI (12)

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

get_customer

Get details for a specific retail customer

get_me

Get details for the authorized seller account

get_order

Get details for a specific wholesale order

get_product

Get details for a specific product

list_categories

List all product categories

list_customers

List all retail customers

list_inventory

List inventory levels for all products

list_orders

List all wholesale orders

list_products

List all products in your wholesale catalog

list_webhooks

List all configured webhooks

search_catalog

Search the wholesale catalog by keyword

update_inventory

Update inventory quantity for a specific product

Example Prompts for Fieldfolio in CrewAI

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

"List my active wholesale orders."

"Check the inventory level for 'Summer T-Shirt'."

"Search the catalog for 'Ceramic Vases'."

Troubleshooting Fieldfolio MCP Server with CrewAI

Common issues when connecting Fieldfolio 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.

Fieldfolio + CrewAI FAQ

Common questions about integrating Fieldfolio 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.