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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Dext as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

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 Dext. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
Dext
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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.

LlamaIndex agents combine Dext tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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

  • 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 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 Dext to LlamaIndex via MCP

Follow these steps to integrate the Dext MCP Server with LlamaIndex.

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 10 tools from Dext

Why Use LlamaIndex with the Dext MCP Server

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

01

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

02

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

03

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

04

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

Dext + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Dext 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 Dext for fresh data

04

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

Dext MCP Tools for LlamaIndex (10)

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

01

get_account_metadata

Retrieve metadata and usage limits for your Dext account

02

get_item_details

Get detailed information for a specific inbox item

03

list_account_users

List all users with access to the current Dext account

04

list_accounting_categories

List the chart of accounts or categories available for classification

05

list_accounting_clients

List all clients associated with your Dext partner account

06

list_connected_bank_accounts

List all bank accounts configured for statement extraction

07

list_extracted_suppliers

List all suppliers automatically extracted from your documents

08

list_inbox_items

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

09

list_items_pending_review

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

10

search_inbox_by_keyword

Search for receipts or invoices by supplier name or description

Example Prompts for Dext in LlamaIndex

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

01

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

02

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

03

"Search my inbox for 'office supplies'."

Troubleshooting Dext MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Dext + LlamaIndex FAQ

Common questions about integrating Dext 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 Dext 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.

Connect Dext to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.