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Autenti MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Add New Contact, Check Api Health, Create New Signature Process, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Autenti 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 App Connector for LlamaIndex

The Autenti app connector for LlamaIndex is a standout in the Document Management category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Autenti. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Autenti?"
    )
    print(response)

asyncio.run(main())
Autenti
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Autenti MCP Server

Connect your Autenti account to any AI agent and take full control of your professional document signing workflows and e-signature compliance through natural conversation.

LlamaIndex agents combine Autenti tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

  • Process Orchestration — List and manage document signature processes programmatically, retrieving detailed status, high-fidelity metadata, and historical audit data in real-time
  • Dynamic Lifecycle Management — Discover and execute available actions (Send, Sign, Reject) based on the document's current state to coordinate complex signature workflows
  • Participant Intelligence — Programmatically add signers and observers to your processes and manage your organizational contact directory to ensure perfectly coordinated collaboration
  • Event Monitoring — Access and monitor your complete directory of webhooks to receive real-time notifications for incoming document events directly through your agent
  • Operational Visibility — Access high-fidelity profile metadata for your authenticated user and verify API connectivity directly through your agent for instant reporting

The Autenti MCP Server exposes 12 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.

All 12 Autenti tools available for LlamaIndex

When LlamaIndex connects to Autenti through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-signature, identity-verification, compliance, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_new_contact

Add a contact to your address book

check_api_health

Verify Autenti API connectivity

create_new_signature_process

Requires a title and metadata. Start a new document process

execute_process_action

Use list_available_process_actions first to find valid names. Execute a discovered action (e.g., Send, Sign, Reject)

get_process_details

Get details for a specific signature process

get_user_account_profile

Get authenticated user profile

list_available_process_actions

Discover possible actions for a process

list_configured_webhooks

List active webhooks

list_process_files

List files within a process

list_process_participants

List signers and observers

list_saved_contacts

List your address book contacts

list_signature_processes

List all document signature processes

Connect Autenti to LlamaIndex via MCP

Follow these steps to wire Autenti into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Autenti

Why Use LlamaIndex with the Autenti MCP Server

LlamaIndex provides unique advantages when paired with Autenti through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Autenti tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Autenti tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Autenti, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Autenti tools were called, what data was returned, and how it influenced the final answer

Autenti + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Autenti MCP Server delivers measurable value.

01

Hybrid search: combine Autenti real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Autenti to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Autenti for fresh data

04

Analytical workflows: chain Autenti queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Autenti in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Autenti immediately.

01

"List all my active document signature processes."

02

"What actions can I take on process 'proc_123'?"

03

"Add 'John Doe' (john@example.com) to my Autenti contacts."

Troubleshooting Autenti MCP Server with LlamaIndex

Common issues when connecting Autenti to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Autenti + LlamaIndex FAQ

Common questions about integrating Autenti MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Autenti tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.