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How to Use the Modusign MCP in LlamaIndex

Index your Modusign contracts and audit logs directly into LlamaIndex for grounded RAG queries.

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LlamaIndex

Connect Modusign MCP to LlamaIndex

Create your Vinkius account to connect Modusign to LlamaIndex 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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Index Modusign contracts in LlamaIndex

Stop guessing which contracts are signed when building RAG apps. This MCP Server lets LlamaIndex pull active document data with `list_documents` and index it straight into your vector store. Your LlamaIndex agent queries the index instead of making blind API calls. It reads the actual contract state so your answers are grounded in real-time Modusign document data.

Query Modusign audit trails semantically

Finding out who signed what shouldn't require manual digging in LlamaIndex. LlamaIndex reads the output of `get_audit_logs` and matches it against natural language queries. This means your LlamaIndex agent can scan the indexed logs and give you a direct answer based on the real Modusign audit history. You get clean answers without writing complex SQL queries.

Match Modusign templates to user queries

When a user asks for a specific contract type, LlamaIndex uses `list_templates` to find the best match. It checks the template metadata against the active LlamaIndex conversation history. Once it finds the right match, the LlamaIndex agent runs `create_document_from_template` to start the signing process. No human intervention needed to select the correct Modusign form.

Setup guide

Set up Modusign MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Modusign MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Modusign tools.",
)
response = await agent.run("List recent Modusign data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Modusign. 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.

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Common questions about Modusign MCP in LlamaIndex

Use the llama-index-tools-mcp package to initialize the MCP client. Convert the server tools to LlamaIndex tools using McpToolSpec so your agent can execute list_documents.
Yes. By calling list_templates, LlamaIndex indexes your contract templates into a vector store. You can then run semantic search to find the correct template for any client request.
The agent pulls live contract data using get_document and injects it directly into the prompt context. This forces the model to rely on real API data instead of guessing contract details.
Yes, you can use list_automations to fetch your signature flows. LlamaIndex indexes these flows so you can query your active contract pipelines using natural language.
Your contract templates and signature records are retrieved via secure, ephemeral connections. Vinkius isolates the server execution, ensuring that sensitive external files fetched by list_external_files are never stored permanently or leaked to external models.

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