Clustdoc MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Create Application, Get Application Details, List Applications, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Clustdoc as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Clustdoc app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Clustdoc. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Clustdoc?"
)
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 Clustdoc MCP Server
Connect your Clustdoc account to any AI agent and take full control of your professional client onboarding and automated document collection workflows through natural conversation.
LlamaIndex agents combine Clustdoc tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Application Orchestration — List and manage all active client applications programmatically, including monitoring completion percentages and real-time status changes
- Document Architecture — Organize and track the collection of critical business documents (KYC, contracts, IDs) by initializing high-fidelity application folders directly from your agent
- Workflow Intelligence — Access your directory of onboarding processes (templates) to ensure every new client follows the perfect perfectly coordinated legal and operational path
- Team Coordination — Retrieve directories of organization users and monitor team activities to oversee high-volume onboarding pipelines efficiently
- Operational Monitoring — Check active webhooks and retrieve specific application metadata directly through your agent for instant auditing and reporting
The Clustdoc MCP Server exposes 6 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.
All 6 Clustdoc tools available for LlamaIndex
When LlamaIndex connects to Clustdoc through Vinkius, your AI agent gets direct access to every tool listed below — spanning client-onboarding, document-collection, intake-workflows, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Pass data as a JSON string. Create a new application
Get specific application details
List all client applications
List all team members
List all configured webhooks
List all onboarding workflow processes
Connect Clustdoc to LlamaIndex via MCP
Follow these steps to wire Clustdoc into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Clustdoc MCP Server
LlamaIndex provides unique advantages when paired with Clustdoc through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clustdoc tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clustdoc tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clustdoc, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clustdoc tools were called, what data was returned, and how it influenced the final answer
Clustdoc + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clustdoc MCP Server delivers measurable value.
Hybrid search: combine Clustdoc real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clustdoc 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 Clustdoc for fresh data
Analytical workflows: chain Clustdoc queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Clustdoc in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Clustdoc immediately.
"List all my active client applications in Clustdoc."
"Create a new onboarding file for 'John Doe' using the 'KYC' process."
"Show me the list of all onboarding team members."
Troubleshooting Clustdoc MCP Server with LlamaIndex
Common issues when connecting Clustdoc to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClustdoc + LlamaIndex FAQ
Common questions about integrating Clustdoc MCP Server with LlamaIndex.