How do I get a Daftra API Key?

Log in to your Daftra account, navigate to **Settings > API**, and you will find your API Key there. You will also need your account subdomain.

What is the subdomain?

It is the first part of your Daftra URL. For example, if you access Daftra at 'mycompany.daftra.com', your subdomain is 'mycompany'.

Can the agent create new invoices?

Currently, this integration focuses on creating client profiles and listing existing invoices, estimates, and expenses. Full invoice creation is currently managed via the Daftra dashboard.

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

Name: Daftra
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 Daftra 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({
        "daftra": {
            "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 Daftra, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Daftra MCP Server

Integrate Daftra, the comprehensive cloud-based ERP and accounting software, directly into your AI workflow. Manage your clients, monitor invoices and estimates, and track business expenses using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Daftra 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

Client Management — List, search, and retrieve full profiles and interaction history for your clients.
Billing Oversight — Monitor sales invoices and price estimates to stay on top of your revenue.
Expense Tracking — Track and retrieve recorded business expenses across your organization.
Inventory & Services — List products and services in your inventory directly via chat.

The Daftra 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 Daftra to LangChain via MCP

Follow these steps to integrate the Daftra 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 Daftra via MCP

Why Use LangChain with the Daftra MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Daftra 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 Daftra queries for multi-turn workflows

Daftra + LangChain Use Cases

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

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

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

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

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

Daftra MCP Tools for LangChain (10)

These 10 tools become available when you connect Daftra to LangChain via MCP:

create_client

Resolves the newly generated client ID. Mutates the client and contact database state. Add a new client to the ERP database

get_client_details

Resolves detailed contact info and outstanding balances. Touches the granular CRM boundary. Get full profile and history for a specific client

get_invoice_details

Resolves line items, tax details, and payment history. Interacts with the detailed billing boundary. Get full details for a specific sales invoice

get_site_metadata

Resolves site identifiers and organizational settings. Interacts with the system configuration boundary. Retrieve general settings and metadata for your Daftra site

list_clients

Resolves client IDs, business names, and contact emails. Interacts with the client management boundary. List all clients in your Daftra account

list_estimates

Resolves estimate IDs, dates, and amounts. Interacts with the sales pipeline and quoting boundary. List all price estimates and quotes

list_expenses

Resolves expense IDs, categories, and amounts. Touches the accounting and expense tracking boundary. List all recorded business expenses

list_inventory_products

Resolves product IDs, names, and pricing. Interacts with the inventory management boundary. List all products and services in the inventory

list_invoices

Resolves invoice IDs, numbers, totals, and payment statuses. Touches the financial and sales boundary. List all sales invoices

search_clients_by_name

Resolves matching client profiles. Touches the search and discovery boundary. Search for a client by name keyword

Example Prompts for Daftra in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Daftra immediately.

"List all unpaid invoices from this month."

"Search for client 'John Smith' and show his contact details."

"List all business expenses recorded in the last 7 days."

Troubleshooting Daftra MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Daftra + LangChain FAQ

Common questions about integrating Daftra 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.