Dext 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 Dext as an MCP tool provider through the 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 Dext. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Dext?"
)
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 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.
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 Dext
Why Use LlamaIndex with the Dext MCP Server
LlamaIndex provides unique advantages when paired with Dext through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Dext tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Dext tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Dext, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Dext real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Dext 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 Dext for fresh data
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:
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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Dext to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDext + LlamaIndex FAQ
Common questions about integrating Dext 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 Dext 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 Dext to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
