Documint 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 Documint 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 Documint. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Documint?"
)
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 Documint MCP Server
Integrate Documint, the versatile document generation and automation platform, directly into your AI workflow. Manage your dynamic document templates, generate professional PDF files from JSON data, and track your generation history using natural language.
LlamaIndex agents combine Documint 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
- Template Oversight — List and retrieve detailed configuration and variable schemas for all your document templates.
- Document Generation — Trigger the Documint engine to create new files instantly using provided data variables.
- Generation Tracking — Monitor the status of your document generations and access secure download URLs.
- Variable Intelligence — Identify exactly which data keys are required to populate specific templates accurately.
The Documint 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 Documint to LlamaIndex via MCP
Follow these steps to integrate the Documint 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 Documint
Why Use LlamaIndex with the Documint MCP Server
LlamaIndex provides unique advantages when paired with Documint through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Documint tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Documint tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Documint, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Documint tools were called, what data was returned, and how it influenced the final answer
Documint + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Documint MCP Server delivers measurable value.
Hybrid search: combine Documint real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Documint 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 Documint for fresh data
Analytical workflows: chain Documint queries with LlamaIndex's data connectors to build multi-source analytical reports
Documint MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Documint to LlamaIndex via MCP:
create_new_generation
Generate a new document using a specific template and data object
get_documint_account_metadata
Retrieve metadata and usage limits for your Documint account
get_generation_details
Get the current status and download URL for a specific generated document
get_template_configuration
Get detailed information and field schema for a specific template
get_template_variable_audit
Identify exactly which variables are required to populate a template
list_documint_generations
List all documents that have been generated in Documint
list_documint_templates
List all available document templates in your Documint account
list_failed_doc_generations
Identify document generations that failed due to errors (mock logic)
list_latest_doc_generations
Identify the most recently generated documents
search_documint_templates
Search for a document template using a name keyword
Example Prompts for Documint in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Documint immediately.
"List all available Documint templates."
"Generate a new 'Event Ticket' with data: {'guest_name': 'Jane Smith', 'seat': 'A12'}."
"Show me the status of the last 5 generations."
Troubleshooting Documint MCP Server with LlamaIndex
Common issues when connecting Documint to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDocumint + LlamaIndex FAQ
Common questions about integrating Documint 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 Documint 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 Documint to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.