Formilla MCP Server for CrewAIGive CrewAI instant access to 12 tools to Check Formilla Status, Delete Contact, Get Contact, and more

Name: Formilla
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Formilla MCP Server for CrewAI is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

from crewai import Agent, Task, Crew

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

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 Formilla MCP Server

Connect your Formilla account to any AI agent and take full control of your live chat contacts and customer data management through natural conversation.

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

Contact Orchestration — Create or update contact records programmatically, including managing names, emails, and phone numbers directly from your agent
Database Management — List all contacts in your Formilla account and retrieve detailed metadata to maintain a high-fidelity customer record
Visitor Intelligence — Find specific contacts by email to verify their support history and track custom attributes for personalized messaging
Secure Maintenance — Programmatically delete contacts from the system to maintain database hygiene and comply with privacy requests
Data Synchronization — Use unique identifiers (UserId) to seamlessly sync your external user data with Formilla's live chat ecosystem

The Formilla MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Formilla tools available for CrewAI

When CrewAI connects to Formilla through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-chat, lead-qualification, in-app-messaging, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check formilla status on Formilla

Verify connectivity

delete

Delete contact on Formilla

Delete a contact

get

Get contact on Formilla

Get contact details

get

Get contact by email on Formilla

Get contact by email

get

Get conversation on Formilla

Get conversation details

list

List contacts on Formilla

List contacts

list

List conversations on Formilla

List conversations

list

List segments on Formilla

List segments

list

List visitors on Formilla

List visitors

Search contacts on Formilla

Search contacts

update

Update contact on Formilla

Update a contact

upsert

Upsert contact on Formilla

Create or update contact

Connect Formilla to CrewAI via MCP

Follow these steps to wire Formilla into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 Formilla

Why Use CrewAI with the Formilla MCP Server

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

Formilla + CrewAI Use Cases

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

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

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

Example Prompts for Formilla in CrewAI

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

"List all my current contacts in Formilla."

"Update contact 'john@example.com' with phone '+15551234567'."

"Find the contact details for 'sarah.smith@example.com'."

Troubleshooting Formilla MCP Server with CrewAI

Common issues when connecting Formilla to CrewAI through 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.

Formilla + CrewAI FAQ

Common questions about integrating Formilla 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.