How to Use the Concord CLM MCP in OpenAI Agents SDK
Run production-ready OpenAI Agents SDK workflows that manage legal documents via the Concord CLM MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Concord CLM MCP to OpenAI Agents SDK
Create your Vinkius account to connect Concord CLM to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Guarded contract creation with OpenAI Agents SDK
Your production agent needs to draft legal documents without making costly mistakes. By connecting your agent to the Concord CLM MCP Server, you can safely trigger `create_agreement` and `list_templates` through custom Python workflows. If the model attempts to generate an agreement with incorrect parameters, your guardrails catch it instantly. You get clean, predictable document generation that shows up right in your OpenAI dashboard tracing logs.
Secure signature routing via OpenAI agents
Sending contracts to the wrong signee can destroy a deal. This integration lets your agent execute `send_for_signature` only after verifying user identity via `get_current_user` or checking the internal team directory with `list_users`. You can build a multi-agent system where one agent drafts the document and another inspects it before firing the signature request. Every step of this handoff is logged, ensuring your legal team has a clear audit trail.
Programmatic agreement tracking and discovery
Stop guessing if a client signed their contract. Your agent can run `list_signed_agreements` or `search_agreements_by_name` to keep your CRM updated in real-time. Because the OpenAI SDK natively caches tools with caching enabled, these lookups do not add latency to your system. Your agent finds the right file, pulls its status with `get_agreement`, and updates your database without human intervention.
Set up Concord CLM MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Concord CLM tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Concord CLM tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Concord CLM tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Concord CLM Agent",
instructions="You have access to Concord CLM tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Concord. 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 Concord CLM MCP in OpenAI Agents SDK
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