How do I get a Documint API Key?

Log in to your Documint account, navigate to the API section in your account settings, and you can generate or retrieve your unique API Key from there.

Can the agent show me the variables for a template?

Yes, you can use the get_template_variable_audit tool to retrieve exactly which data keys are needed to populate a specific template.

What format are the documents generated in?

Documint specializes in generating high-quality PDF files from your dynamic HTML or designed templates.

Documint MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Documint
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Documint through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "documint": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Documint, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Documint through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Documint MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Documint via MCP

Why Use LangChain with the Documint MCP Server

LangChain provides unique advantages when paired with Documint through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Documint MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Documint queries for multi-turn workflows

Documint + LangChain Use Cases

Practical scenarios where LangChain combined with the Documint MCP Server delivers measurable value.

RAG with live data: combine Documint tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Documint, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Documint tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Documint tool call, measure latency, and optimize your agent's performance

Documint MCP Tools for LangChain (10)

These 10 tools become available when you connect Documint to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Documint to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Documint + LangChain FAQ

Common questions about integrating Documint MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.