Where do I find my Middesk API Key?

Log in to your Middesk Dashboard, go to Settings > Developer > Credentials to find your secret keys.

Does this support the Sandbox environment?

Yes, you can use your 'mk_test_...' keys to interact with the Middesk Sandbox.

Middesk MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Middesk
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

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

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 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 Middesk. "
            "You have 9 tools available."
        ),
    )

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

asyncio.run(main())

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About Middesk MCP Server

Connect your Middesk account to automate Business Identity (KYB) and compliance workflows. This server provides comprehensive access to Middesk's verification engine.

LlamaIndex agents combine Middesk tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through 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

Entity Verification — Create and monitor business verification requests with real-time status
Document Retrieval — Access official Secretary of State filings and corporate documents
Smart Prefill — Automatically populate business details from a single identifier like EIN or website
Tax Registration — Manage and track state tax registrations and payroll compliance
Identity Autocomplete — Search for businesses with live SOS record suggestions

The Middesk MCP Server exposes 9 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 Middesk to LlamaIndex via MCP

Follow these steps to integrate the Middesk 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 9 tools from Middesk

Why Use LlamaIndex with the Middesk MCP Server

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

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

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

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

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

Middesk + LlamaIndex Use Cases

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

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

Data enrichment: query Middesk 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 Middesk for fresh data

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

Middesk MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Middesk to LlamaIndex via MCP:

autocomplete_identity

Autocomplete business identity

create_business

Requires legal name. Create a new business verification

get_business

Get a specific business

get_document

Get a specific document

get_tax_registration

Get a specific tax registration

list_businesses

List all businesses

list_documents

List documents for a business

list_tax_registrations

List tax registrations

prefill_business

g., website). Prefill business details

Example Prompts for Middesk in LlamaIndex

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

"Verify the business 'Acme Corp' located in Delaware."

"Find SOS filings for business ID 'bus_123'."

Troubleshooting Middesk MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Middesk + LlamaIndex FAQ

Common questions about integrating Middesk MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Middesk tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.