Bring Workflow Automation
to LlamaIndex
Learn how to connect SketricGen to LlamaIndex and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the SketricGen MCP Server?
Empower your AI agents to securely orchestrate complex workflows using the SketricGen platform. With 18 dedicated tools, your AI can now programmatically trigger multi-agent tasks, inject relevant contacts into context, construct searchable knowledge bases, and granularly inspect execution traces.
What you can do
- Execute complex multi-agent workflows programmatically
- Create and query vector-searchable knowledge bases
- Debug executions with full tracing capabilities
- Track tool calls and credit consumption per run
- Access and manage CRM-style contact profiles
- Maintain distinct conversation histories
How it works
1. Subscribe to this server 2. Enter your SketricGen API Key (found in your account dashboard) 3. Start deploying orchestrated multi-agent systems via VinkiusWho is it for?
Designed for AI engineers, prompt designers, and automation teams seeking an advanced orchestration layer with full traceability for complex agentic workflows.Built-in capabilities (18)
Verify connectivity
Delete conversation
Get agent details
Get contact details
Get conversation
Get knowledge base
Get trace details
Get trace credit usage
Get workflow details
List AI agents
List contacts
List conversations
List knowledge bases
List templates
List execution traces
List workflows
Run AI workflow
Run workflow for contact
Why LlamaIndex?
LlamaIndex agents combine SketricGen tool responses with indexed documents for comprehensive, grounded answers. Connect 18 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 SketricGen tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain SketricGen tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query SketricGen, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what SketricGen tools were called, what data was returned, and how it influenced the final answer
SketricGen in LlamaIndex
SketricGen and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect SketricGen 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 SketricGen in LlamaIndex
The SketricGen 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 18 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
SketricGen for LlamaIndex
Every tool call from LlamaIndex to the SketricGen MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can my AI analyze the execution steps of a specific workflow?
Simply use the debug_workflow_trace tool. Your agent will instantly retrieve the execution trace, detailing every tool call, data transfer between agents, and total credit consumption per run.
Is it possible to programmatically manage and query documents for my agents?
Yes. By executing the manage_knowledge_base action, your AI agent can upload files (PDF, DOCX, TXT, HTML) or search existing repositories to provide context-aware, highly accurate responses.
Can I automatically trigger workflows tied to specific customer records?
Absolutely. Ask the agent to use the run_workflow_for_contact tool. It will execute the designated workflow while injecting the specific contact's history, enabling personalized, data-driven outputs.
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 SketricGen 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.
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Install: pip install llama-index-tools-mcp