How to Use the Evisort Contract Intelligence MCP in CrewAI
Deploy specialized agent crews to manage your legal library with Evisort Contract Intelligence and CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Evisort Contract Intelligence MCP to CrewAI
Create your Vinkius account to connect Evisort Contract Intelligence 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.
Autonomous contract review crews
Assign an agent to use `list_contract_documents` to find files for a researcher agent to analyze. Your crew collaborates to identify compliance gaps without you lifting a finger. This multi-agent approach allows one agent to monitor the library while another handles specific extraction tasks. It keeps your legal ops moving 24/7.
High-value contract monitoring
Have your lead agent call `list_high_monetary_value_contracts` to flag major deals for senior review. The crew uses this data to prioritize tasks based on financial risk. It removes the need for manual sorting. Your agents handle the triage, ensuring the most important documents always get eyes on them first.
Integrated library folder management
Use `list_document_library_folders` to allow your agents to navigate and organize your contract repository structures. The crew can audit specific directories for missing documentation. Your agents maintain the library state, identifying where files are and what they contain. It turns your static storage into an active, managed workspace.
Set up Evisort Contract Intelligence MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Evisort Contract Intelligence tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Evisort Contract Intelligence Analyst",
goal="Access and analyze Evisort Contract Intelligence data via MCP.",
backstory="Expert analyst with direct Evisort Contract Intelligence access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Evisort Contract Intelligence transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Evisort Contract Intelligence Analyst",
goal="Access and analyze Evisort Contract Intelligence data via MCP.",
backstory="Expert analyst with direct Evisort Contract Intelligence access.",
tools=mcp_tools,
)
task = Task(
description="List recent Evisort Contract Intelligence transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Evisort Contract Intelligence. 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.
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Common questions about Evisort Contract Intelligence MCP in CrewAI
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