Modusign 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 Modusign as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Modusign. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Modusign?"
)
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 Modusign MCP Server
Connect your Modusign account to your AI agent and streamline your document signing workflows through natural conversation.
LlamaIndex agents combine Modusign 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
- Document Tracking — List all electronic contracts and get real-time status updates (e.g., signed, pending).
- Deep Inspection — Fetch complete metadata and audit trails for specific documents using their IDs.
- Template Management — List your pre-defined contract templates for quick reuse.
- Signature Requests — Create new signature requests from templates with a simple natural language command.
- Automation & Webhooks — Monitor your automated signature workflows and active webhooks.
- Org Structure — Access folders and organization metadata to keep your documents organized.
The Modusign 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 Modusign to LlamaIndex via MCP
Follow these steps to integrate the Modusign 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 Modusign
Why Use LlamaIndex with the Modusign MCP Server
LlamaIndex provides unique advantages when paired with Modusign through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Modusign tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Modusign tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Modusign, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Modusign tools were called, what data was returned, and how it influenced the final answer
Modusign + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Modusign MCP Server delivers measurable value.
Hybrid search: combine Modusign real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Modusign 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 Modusign for fresh data
Analytical workflows: chain Modusign queries with LlamaIndex's data connectors to build multi-source analytical reports
Modusign MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Modusign to LlamaIndex via MCP:
create_document_from_template
Create document from template
get_audit_logs
Get document audit logs
get_document
Get specific document details
get_org_info
Get organization metadata
list_automations
List signature automations
list_documents
List electronic documents
list_external_files
List external document files
list_folders
List document folders
list_templates
List contract templates
list_webhooks
List active webhooks
Example Prompts for Modusign in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Modusign immediately.
"List my most recent electronic documents."
"Send a 'Standard NDA' to ryan@example.com using template ID tmp_123."
"Show me the audit logs for document doc_987."
Troubleshooting Modusign MCP Server with LlamaIndex
Common issues when connecting Modusign to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpModusign + LlamaIndex FAQ
Common questions about integrating Modusign 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 Modusign 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 Modusign to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.