Bring Client Onboarding
to LlamaIndex
Learn how to connect Clustdoc to LlamaIndex and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Token (Bearer) from your Clustdoc dashboard (Settings > API)
3. Start managing your client pipeline from Claude, Cursor, or any MCP client
No more manual following up on missing files or digging through student/client folders in the portal. Your AI acts as your dedicated onboarding specialist and document coordinator.
Who is this for?
- Account Managers & Legal Teams — instantly retrieve application summaries and check document completion using natural language commands
- Operations Specialists — automate the creation of new client files and track progress without leaving your communication tools
- Real Estate & HR Leads — monitor incoming tenant or employee applications and retrieve finalized PDFs through simple AI queries
Built-in capabilities (6)
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
Why LlamaIndex?
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.
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Data-first architecture: LlamaIndex agents combine Clustdoc tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Clustdoc tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Clustdoc, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Clustdoc tools were called, what data was returned, and how it influenced the final answer
Clustdoc in LlamaIndex
Clustdoc and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Clustdoc to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Clustdoc in LlamaIndex
The Clustdoc 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Clustdoc for LlamaIndex
Every tool call from LlamaIndex to the Clustdoc MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Clustdoc API Token?
Log in to your account, navigate to Settings > API, and generate or copy your unique Bearer Token.
Can I start a specific onboarding process via AI?
Yes! The create_application tool allows you to specify a process_id to trigger the exact workflow template you need.
How do I check document completion status?
Use the get_application_details tool with an application ID to retrieve high-fidelity metadata including the current step and completion progress.
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 Clustdoc tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp