How to Use the Sproof MCP in CrewAI

Q: How does Sproof and crewai list documents for a team?

Your multi-agent setup uses listdocuments to generate an inventory of required files. This allows one agent (the Researcher) to feed the document list to another agent (the Analyzer). This is crucial for setting up the shared memory needed for autonomous operations.

Q: What information does Sproof and crewai gather about a signing session?

Agents use getsignaturerequest to get granular details on any active request. They can then check who needs to sign using listsigners. This ensures all roles are accounted for. They also have the option to list requests generally via listsignaturerequests.

Q: How does Sproof and crewai track processes?

The team uses listaudittrail to pull all historical actions tied to a request. This is the definitive source of truth for compliance. It proves exactly when roles were assigned, documents were viewed, or changes were made.

Q: If an agent needs to stop work, how does Sproof and crewai handle it?

You use cancelsignaturerequest to terminate a workflow. This is the clean way to tell the entire team that a signing session is no longer valid. It prevents agents from wasting cycles on stale or cancelled tasks.

Q: What data type does Sproof and crewai touch regarding privacy?

This MCP Server touches Contacts metadata. The createcontact tool is specifically used to generate, manage, and update the contact list that your autonomous agents rely on.

Run autonomous operations: Deploy specialized agent teams to handle complex signatures using crewai.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Sproof MCP to CrewAI

Create your Vinkius account to connect Sproof to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Sproof with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate Agent Roles

To set up a new signing process, the `create_signature_request` tool lets your team initialize the workflow with all necessary parameters. The agent can then pass this context to other specialized agents for review. If an initial plan fails, another agent can pick up the slack because you've exposed the full capability set via the MCP Server.

Audit and Document Investigation

When a team needs deep context, they pull data using `list_documents` or specific details with `get_document`. For accountability, running `list_audit_trail` provides all historical records. This allows the autonomous crew to research the full history before making an executive decision.

Manage Team Members and Status

A specialized agent can use `create_contact` to add necessary people to the system. The team then uses `list_contacts` or `list_signers` to confirm all roles are filled. The remaining tools, like `get_profile`, let one agent verify who is running the overall operation.

Setup guide

Set up Sproof MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Sproof tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Sproof Analyst",
    goal="Access and analyze Sproof data via MCP.",
    backstory="Expert analyst with direct Sproof access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Sproof transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Sproof Analyst",
        goal="Access and analyze Sproof data via MCP.",
        backstory="Expert analyst with direct Sproof access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Sproof transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sproof. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Sproof now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Sproof MCP in CrewAI

Your multi-agent setup uses `list_documents` to generate an inventory of required files. This allows one agent (the Researcher) to feed the document list to another agent (the Analyzer). This is crucial for setting up the shared memory needed for autonomous operations.

Agents use `get_signature_request` to get granular details on any active request. They can then check who needs to sign using `list_signers`. This ensures all roles are accounted for. They also have the option to list requests generally via `list_signature_requests`.

The team uses `list_audit_trail` to pull all historical actions tied to a request. This is the definitive source of truth for compliance. It proves exactly when roles were assigned, documents were viewed, or changes were made.

You use `cancel_signature_request` to terminate a workflow. This is the clean way to tell the entire team that a signing session is no longer valid. It prevents agents from wasting cycles on stale or cancelled tasks.

This MCP Server touches **Contacts** metadata. The `create_contact` tool is specifically used to generate, manage, and update the contact list that your autonomous agents rely on.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript