Bring Digital Signature
to CrewAI
Learn how to connect Autenti to CrewAI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Autenti MCP Server?
Connect your Autenti account to any AI agent and take full control of your professional document signing workflows and e-signature compliance through natural conversation.
What you can do
- Process Orchestration — List and manage document signature processes programmatically, retrieving detailed status, high-fidelity metadata, and historical audit data in real-time
- Dynamic Lifecycle Management — Discover and execute available actions (Send, Sign, Reject) based on the document's current state to coordinate complex signature workflows
- Participant Intelligence — Programmatically add signers and observers to your processes and manage your organizational contact directory to ensure perfectly coordinated collaboration
- Event Monitoring — Access and monitor your complete directory of webhooks to receive real-time notifications for incoming document events directly through your agent
- Operational Visibility — Access high-fidelity profile metadata for your authenticated user and verify API connectivity directly through your agent for instant reporting
How it works
1. Subscribe to this server
2. Retrieve your OAuth Access Token from the Autenti Developer Portal
3. Start managing your digital trust pipeline from Claude, Cursor, or any MCP client
No more manual status checking of individual contracts or digging through fragmented email threads. Your AI acts as your dedicated digital signature coordinator and compliance architect.
Who is this for?
- Legal & Compliance Teams — instantly retrieve process statuses and execute signature actions using natural language commands
- Sales Professionals — automate the dispatch of agreements and monitor signer progress without leaving your creative workspace
- HR Managers — orchestrate employment contract workflows and manage participant directories through simple AI queries
Built-in capabilities (12)
Add a contact to your address book
Verify Autenti API connectivity
Requires a title and metadata. Start a new document process
Use list_available_process_actions first to find valid names. Execute a discovered action (e.g., Send, Sign, Reject)
Get details for a specific signature process
Get authenticated user profile
Discover possible actions for a process
List active webhooks
List files within a process
List signers and observers
List your address book contacts
List all document signature processes
Why CrewAI?
When paired with CrewAI, Autenti becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Autenti tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
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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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Autenti in CrewAI
Autenti and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Autenti 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 | 3,400+ 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 Autenti in CrewAI
The Autenti 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
Autenti for CrewAI
Every tool call from CrewAI to the Autenti 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 Autenti Access Token?
Log in to the Autenti Developer Portal, navigate to your application settings, and generate an OAuth 2.0 Access Token.
Can I discover valid actions via AI?
Yes! The list_available_process_actions tool retrieves a dynamic list of valid operations (like SEND or SIGN) based on the document's high-fidelity status.
How do I add a new contact programmatically?
Use the add_new_contact tool to register a name and email in your Autenti address book for future high-fidelity signature requests.
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.