Can my agent list all available content types in Flotiq?

Yes. Use the 'list_all_content_types' tool. The agent executes bulk iterations to track explicitly registered types and returns the mapping configured in your Flotiq architecture.

How do I create a new content object using a JSON payload via chat?

Use the 'create_cms_object' tool. Provide the 'content_type' and your 'payload_json'. The agent will command the backend to persist the new node utilizing your schema constraints flawlessly.

Can I search across all my global content through the agent?

Absolutely. Use the 'search_global_content' tool. Your agent will execute immediate queries across all content by tapping raw status configurations and searching Elastic/Graph limits natively.

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

Name: Flotiq
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Flotiq through Vinkius, pass the Edge URL in the `mcps` parameter and every Flotiq 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="Flotiq Specialist",
    goal="Help users interact with Flotiq effectively",
    backstory=(
        "You are an expert at leveraging Flotiq 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 Flotiq "
        "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)

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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 Flotiq MCP Server

Connect your Flotiq account to any AI agent and take full control of your API-first headless CMS and structured content delivery through natural conversation.

When paired with CrewAI, Flotiq becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Flotiq 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

Content Object Orchestration — Identify bounded routing spaces inside the headless Flotiq CMS and extract explicitly attached REST arrays targeting specific content types natively
Live Record Management — Provision highly-available JSON payloads to write or update Flotiq models, or irreversibly vaporize specific nodes to clear live database bytes
Schema Auditing — Retrieve the exact structural matching for delivery models and enumerate explicitly attached structured rules exporting active type vectors
Global Semantic Search — Execute immediate queries across all content by tapping raw status configurations validating words bounding Elastic/Graph limits flawlessly
Media Asset Discovery — Perform structural extraction of properties driving active media limits by hitting physical CDN uploads mapped in your tenant environment
Relational Data Hydration — Analyze specific ID configurations mapping to internal dependencies and parsing relations securely through hydrated object retrieval
Tenant Oversight — Identify precise active arrays spanning your rented identity limits, analyzing quotas and base endpoints available synchronously

The Flotiq 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 Flotiq to CrewAI via MCP

Follow these steps to integrate the Flotiq 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 Flotiq

Why Use CrewAI with the Flotiq MCP Server

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

Flotiq + CrewAI Use Cases

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

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

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

Flotiq MCP Tools for CrewAI (10)

These 10 tools become available when you connect Flotiq to CrewAI via MCP:

create_cms_object

Provision a highly-available JSON Payload writing models natively

get_content_details

Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly

get_content_type_schema

Retrieve the exact structural matching verifying Delivery Model blocks

get_tenant_limits

Identify precise active arrays spanning rented Identity limits

list_all_content_types

Enumerate explicitly attached structured rules exporting active Type vectors

list_content_objects

Identify bounded routing spaces inside the Headless Flotiq CMS

list_media_assets

Perform structural extraction of properties driving active Media limits

patch_cms_object

Mutate global Web CRM boundaries substituting Attributes safely

search_global_content

Inspect deep internal arrays mitigating specific Picture constraints

wipe_cms_object

Irreversibly vaporize explicit App nodes dropping live Database bytes

Example Prompts for Flotiq in CrewAI

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

"List all items of content type 'blogpost'"

"Show me the JSON schema for content type 'product'"

"Search global content for 'feature launch'"

Troubleshooting Flotiq MCP Server with CrewAI

Common issues when connecting Flotiq 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.

Flotiq + CrewAI FAQ

Common questions about integrating Flotiq 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.