How to Use the Concord CLM MCP in LangChain

Q: How does Concord CLM handle template selection in LangChain?

Your agent runs listtemplates to get all available document layouts. It then parses the metadata and selects the correct template ID based on your chain's current state.

Q: Can I trace Concord CLM tool execution inside LangChain using LangSmith?

Yes, every call to createagreement or sendforsignature shows up in your LangSmith dashboard. You see the exact payload sent to the Concord CLM API and the response latency.

Q: What is the best way to handle webhook events from Concord CLM?

You can use listwebhooks to inspect your active endpoints. Your external receiver can then trigger a new LangChain run whenever a contract status changes.

Run multi-step contract pipelines in LangChain by connecting Concord CLM directly to your reasoning chains using our MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Concord CLM MCP to LangChain

Create your Vinkius account to connect Concord CLM to LangChain 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 Concord CLM with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate document drafting in LangChain

The `create_agreement` tool lets your LangChain agent draft documents directly inside Concord CLM when a chain triggers. It takes raw text inputs from previous chain steps and instantiates the contract without manual copy-pasting. By combining this with `list_templates`, your agent selects the exact template your team needs based on raw user inputs. LangSmith traces the entire process so you see exactly which template variables were injected during the run.

Track signature status inside your chain runs

The `list_signed_agreements` tool lets your agent check which contracts are fully executed before moving to the next step of your workflow. If a contract is pending, the agent uses `send_for_signature` to nudge the recipient. This setup turns passive document tracking into an active LangChain loop. Your agent monitors the status and branches its logic depending on whether the agreement is signed or still outstanding.

Query Concord CLM metadata inside LangChain agents

The `get_agreement` tool exposes specific metadata from your contracts directly to your active reasoning agent. This allows your LangChain agent to fetch details like party names, execution dates, or custom fields on demand. Your agent uses `search_agreements_by_name` to find the exact record it needs mid-chain. You don't have to hardcode agreement IDs because the agent searches your active directory dynamically.

Setup guide

Set up Concord CLM MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Concord CLM tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "concord-clm-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Concord CLM transactions"
    })
    print(result["messages"][-1].content)

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 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.

Why Choose Vinkius

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

Connect Concord CLM 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 Concord CLM MCP in LangChain

Your agent runs `list_templates` to get all available document layouts. It then parses the metadata and selects the correct template ID based on your chain's current state.

Yes, every call to `create_agreement` or `send_for_signature` shows up in your LangSmith dashboard. You see the exact payload sent to the Concord CLM API and the response latency.

The MCP server executes actions using the credentials you configure on Vinkius. Your agent can run `get_current_user` or `list_users` to verify the active context before initiating a contract.

You can use `list_webhooks` to inspect your active endpoints. Your external receiver can then trigger a new LangChain run whenever a contract status changes.

Your agreements, templates, and user lists stay inside Concord CLM and the Vinkius secure sandbox. The server processes these contract payloads ephemerally, meaning no document text is stored on Vinkius servers.

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