Common Paper MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Common Paper through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"common-paper": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Common Paper, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Common Paper MCP Server
Connect your Common Paper account to any AI agent and manage your commercial contracts through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Common Paper through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Agreement Management — List all signed agreements, check the status of pending contracts, and retrieve details for any specific document.
- Contract Creation — Send new agreements such as NDAs, Cloud Service Agreements (CSA), and DPAs directly to partners using predefined templates.
- Workflow Automation — Streamline your internal processes by programmatically fetching agreement data and triggering contract actions.
The Common Paper MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Common Paper to LangChain via MCP
Follow these steps to integrate the Common Paper MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Common Paper via MCP
Why Use LangChain with the Common Paper MCP Server
LangChain provides unique advantages when paired with Common Paper through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Common Paper MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Common Paper queries for multi-turn workflows
Common Paper + LangChain Use Cases
Practical scenarios where LangChain combined with the Common Paper MCP Server delivers measurable value.
RAG with live data: combine Common Paper tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Common Paper, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Common Paper tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Common Paper tool call, measure latency, and optimize your agent's performance
Common Paper MCP Tools for LangChain (10)
These 10 tools become available when you connect Common Paper to LangChain via MCP:
create_webhook
Configure a new webhook to receive contract status updates
delete_webhook
Remove a previously configured webhook
get_agreement
Retrieve detailed information about a specific agreement
get_template
Retrieve details of a specific contract template
list_agreements
Retrieve a list of agreements (contracts) from Common Paper
list_signed_agreements
Quickly list all agreements that have been fully signed
list_templates
Retrieve a list of contract templates available in your account
list_webhooks
Retrieve a list of configured webhooks
search_agreements_by_email
Find agreements associated with a specific recipient email
send_agreement
Create and send a new agreement based on a template
Example Prompts for Common Paper in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Common Paper immediately.
"Show me all signed agreements in Common Paper."
"Send an NDA agreement to 'partner@example.com' using template ID 'tmpl-xxxx' in Common Paper."
"Get the current status of agreement 'agr-yyyy' in Common Paper."
Troubleshooting Common Paper MCP Server with LangChain
Common issues when connecting Common Paper to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCommon Paper + LangChain FAQ
Common questions about integrating Common Paper MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Common Paper with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Common Paper to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.