Compatible with every major AI agent and IDE
What is the 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.
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
How it works
- Subscribe to this server
- Retrieve your API Auth Token from your Formilla dashboard (Settings > Security)
- Start managing your live chat contacts from Claude, Cursor, or any MCP client
No more manual data entry into the live chat dashboard. Your AI acts as your dedicated contact and data sync coordinator.
Who is this for?
- Support Teams — instantly retrieve customer profiles and update contact info while managing live chats
- Marketing Automators — sync new leads and track custom attributes across your customer database using natural language
- Operations Managers — manage database hygiene and privacy compliance through automated contact deletion queries
Built-in capabilities (12)
Verify connectivity
Delete a contact
Get contact details
Get contact by email
Get conversation details
List contacts
List conversations
List segments
List visitors
Search contacts
Update a contact
Create or update contact
Why CrewAI?
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.
- —
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
mcpsparameter 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 in CrewAI
Formilla and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Formilla to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Formilla in CrewAI
The Formilla 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Formilla for CrewAI
Every tool call from CrewAI to the Formilla MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my API Auth Token in Formilla?
Log in to your Formilla dashboard, navigate to Settings > Security, and copy your unique API Auth Token.
Can I use the agent to sync my existing user IDs?
Yes! The upsert_contact tool accepts a UserId parameter specifically designed to link your internal system identifiers with Formilla records.
Does it support deleting multiple contacts at once?
The delete_contact tool operates on a single contact ID at a time. To delete multiple records, your agent can iterate through a list of IDs programmatically.
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.
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.
Explore More MCP Servers
View all →
Clip API
10 toolsAutomate Mexico's leading payment gateway via Clip — generate payment links, manage refunds, and track settlements seamlessly via AI.

EasyPost
10 toolsEquip your AI agent to manage shipments, track packages, and monitor carrier accounts via the EasyPost API.

Cerebras Inference
15 toolsAccess lightning-fast AI inference via Cerebras Wafer-Scale Engine — generate chat completions, manage models, and run batch jobs at record speeds.

FRED Full Access — U.S. Economic Intelligence
19 toolsThe ultimate U.S. economic data Mega-Server: 19 tools covering time series, releases, categories, regional GeoFRED data, tags, and 107 data sources — 816,000+ series from the Federal Reserve in one integration.
