How to Use the Modusign MCP in LlamaIndex
Index your Modusign contracts and audit logs directly into LlamaIndex for grounded RAG queries.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Modusign MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Modusign MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 it with your favorite AI tools
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