How do I get a Dext API Key?

Log in to your Dext account, navigate to **Settings > API**, and you can retrieve your unique API Key from that section. Ensure your plan includes API access.

Can the agent see receipt images?

The agent can retrieve the URL for the item image, allowing you to click and view the original document directly from the chat interface.

Does the integration support multiple currencies?

Yes, Dext automatically extracts the currency from your documents, and the agent will display the total amounts with their respective currency codes.

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

Name: Dext
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 Dext through the 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({
        "dext": {
            "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 Dext, 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 Dext MCP Server

Integrate Dext (formerly Receipt Bank), the leading bookkeeping and accounting automation platform, directly into your AI workflow. Manage your digital inbox of receipts and invoices, track supplier extraction data, and monitor accounting categories and client accounts using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Dext through native MCP adapters. Connect 10 tools via the 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

Inbox Oversight — List and retrieve detailed information for all items in your Dext inbox, including processing status.
Data Extraction — Access granular technical metadata for extracted receipts, including tax details and supplier info.
Client Management — List and review accounting clients and their integration settings in your partner account.
Account Intelligence — Monitor connected bank accounts and accounting categories available for classification.

The Dext 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 Dext to LangChain via MCP

Follow these steps to integrate the Dext 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 Dext via MCP

Why Use LangChain with the Dext MCP Server

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

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

Dext + LangChain Use Cases

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

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

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

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

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

Dext MCP Tools for LangChain (10)

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

get_account_metadata

Retrieve metadata and usage limits for your Dext account

get_item_details

Get detailed information for a specific inbox item

list_account_users

List all users with access to the current Dext account

list_accounting_categories

List the chart of accounts or categories available for classification

list_accounting_clients

List all clients associated with your Dext partner account

list_connected_bank_accounts

List all bank accounts configured for statement extraction

list_extracted_suppliers

List all suppliers automatically extracted from your documents

list_inbox_items

List all pending and processed items (receipts, invoices) in your Dext inbox

list_items_pending_review

Identify inbox items that are currently in the "Review" status

search_inbox_by_keyword

Search for receipts or invoices by supplier name or description

Example Prompts for Dext in LangChain

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

"List all items in my inbox that need review."

"Show me the details for the item from 'Starbucks' on June 12th."

"Search my inbox for 'office supplies'."

Troubleshooting Dext MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dext + LangChain FAQ

Common questions about integrating Dext 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.