Common Paper MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Common Paper as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Common Paper. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Common Paper?"
)
print(response)
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.
LlamaIndex agents combine Common Paper tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Common Paper MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Common Paper
Why Use LlamaIndex with the Common Paper MCP Server
LlamaIndex provides unique advantages when paired with Common Paper through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Common Paper tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Common Paper tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Common Paper, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Common Paper tools were called, what data was returned, and how it influenced the final answer
Common Paper + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Common Paper MCP Server delivers measurable value.
Hybrid search: combine Common Paper real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Common Paper to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Common Paper for fresh data
Analytical workflows: chain Common Paper queries with LlamaIndex's data connectors to build multi-source analytical reports
Common Paper MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Common Paper to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Common Paper to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCommon Paper + LlamaIndex FAQ
Common questions about integrating Common Paper MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.