How to Use the Common Paper MCP in LangChain

Q: Can Common Paper automate workflows in LangChain?

Yes. By chaining tools like listtemplates and sendagreement, your agent can execute complex contract tasks based on trigger events you define in your code.

Chain Common Paper contract actions directly into your LangChain agents for automated document lifecycles.

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Connect Common Paper MCP to LangChain

Create your Vinkius account to connect Common Paper 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.

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Setup Common Paper with LangChain

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Sequence contract operations in LangChain

Feed the output of `list_templates` directly into `send_agreement` to build automated document pipelines. Your agent handles the logic, pulling data from your account to trigger contract creation without human intervention. This MCP server treats every function as a link in your chain. Your LangSmith traces show exactly how the agent moves from finding a template to dispatching the final document to a recipient.

Track agreement status in real-time

Use `list_signed_agreements` to trigger downstream logic in your agent once a document is countersigned. You get precise visibility into your contract pipeline without manual polling. Configure `create_webhook` to push updates into your existing chains. When a status changes, your agent reacts immediately to update your internal database or notify your team.

Search contracts with LangChain agents

Query your entire document library using `search_agreements_by_email` within your agent's reasoning loop. It finds specific contracts associated with any client email address in seconds. Combine this with `get_agreement` to pull full metadata for a specific file. The agent parses the response to answer questions about terms or expiration dates without searching through your inbox.

Setup guide

Set up Common Paper 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 Common Paper 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({
    "common-paper-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 Common Paper transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Common Paper MCP in LangChain

Install the necessary adapters and initialize the server using the provided HTTP endpoint. Once you call get_tools, pass the resulting list directly into your agent constructor to make contract actions available during execution.

Yes. By chaining tools like list_templates and send_agreement, your agent can execute complex contract tasks based on trigger events you define in your code.

You can use the webhook tools to push data directly into your agent. This keeps your pipeline informed of signatures or cancellations as they happen.

The server is stateless. Use the client session object if you need to maintain context across multiple steps in your agent's execution.

Your agreement metadata and recipient emails stay within your secure connection. We never store or log the contents of your contracts, keeping your sensitive legal data strictly between your agent and the Common Paper API.

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