SketricGen MCP Server for LlamaIndexGive LlamaIndex instant access to 18 tools to Check Sketricgen Status, Delete Conversation, Get Agent, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SketricGen 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 SketricGen app connector for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 18 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 SketricGen. "
"You have 18 tools available."
),
)
response = await agent.run(
"What tools are available in SketricGen?"
)
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 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.
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.
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
Who is it for?
Designed for AI engineers, prompt designers, and automation teams seeking an advanced orchestration layer with full traceability for complex agentic workflows.The SketricGen MCP Server exposes 18 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 18 SketricGen tools available for LlamaIndex
When LlamaIndex connects to SketricGen through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, multi-agent-systems, knowledge-base, 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.
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
Connect SketricGen to LlamaIndex via MCP
Follow these steps to wire SketricGen 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 SketricGen MCP Server
LlamaIndex provides unique advantages when paired with SketricGen through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine SketricGen tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain SketricGen tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query SketricGen, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what SketricGen tools were called, what data was returned, and how it influenced the final answer
SketricGen + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the SketricGen MCP Server delivers measurable value.
Hybrid search: combine SketricGen real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query SketricGen 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 SketricGen for fresh data
Analytical workflows: chain SketricGen queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for SketricGen in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with SketricGen immediately.
"Run my customer support agent workflow in SketricGen with the question 'How do I reset my password?'"
"Show me the execution trace and credit usage for my last SketricGen workflow run."
"List all knowledge bases in SketricGen and show which agents are connected to each."
Troubleshooting SketricGen MCP Server with LlamaIndex
Common issues when connecting SketricGen to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSketricGen + LlamaIndex FAQ
Common questions about integrating SketricGen MCP Server with LlamaIndex.