Vinkius
SketricGen logo
Vinkius
Vinkius runs on Claude Code

How to Use the SketricGen MCP in Claude Code

Automate backend processes with SketricGen using Claude Code in the terminal. Zero GUI needed.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

SketricGen MCP on Cursor AI Code Editor MCP Client SketricGen MCP on Claude Desktop App MCP Integration SketricGen MCP on OpenAI Agents SDK MCP Compatible SketricGen MCP on Visual Studio Code MCP Extension Client SketricGen MCP on GitHub Copilot AI Agent MCP Integration SketricGen MCP on Google Gemini AI MCP Integration SketricGen MCP on Lovable AI Development MCP Client SketricGen MCP on Mistral AI Agents MCP Compatible SketricGen MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Claude Code

Connect SketricGen MCP to Claude Code

Create your Vinkius account to connect SketricGen to Claude Code — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Checking System Status

Before running any job, always verify system health by calling `check_sketricgen_status`. For CI/CD pipelines, tracking costs is key; use `get_trace_credits` to check your remaining budget. You can also list past failures with `list_traces`. This sequence allows you to build robust scripts that fail gracefully if the underlying SketricGen MCP Server connection drops or if credits run out.

Inventory and Listing Tools

Need a list of available resources? Run `list_knowledge_bases` to see what documents are indexed. You can also inventory your system by calling `list_agents` and `list_templates`. This is perfect for writing scripts that need to iterate over known assets. This helps you write repeatable automation that doesn't rely on remembering every single ID or asset name.

Running and Debugging Workflows

Executing a job in the terminal is simple: use `run_workflow`. The output can be piped directly to other scripts. If something goes wrong, you pull historical context using `get_trace` or running `list_workflows` to see what was supposed to happen. This capability makes Claude Code ideal for background jobs and scheduled tasks that need full visibility into their execution path.

Setup guide

Set up SketricGen MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see sketricgen-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest SketricGen transactions." It will automatically discover and invoke the available SketricGen tools.

Terminal
claude mcp add --transport http sketricgen-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about SketricGen MCP in Claude Code

Just run `check_sketricgen_status` in your terminal. It’s a quick, clean command that verifies the MCP Server connection is active and ready for scripts.
The server touches document indexing metadata via `list_knowledge_bases`. Your script can use this to confirm which sources are available before attempting a retrieval job.
Yes. You run multi-step tasks by calling `run_workflow` and capturing the output in shell variables, making it perfect for CI/CD pipelines.
You check your cost status using `get_trace_credits`. This ensures that automated scripts don't run expensive, unexpected jobs and keeps the billing transparent.
The server touches execution traces. You use `get_trace` to pull details on specific runs, which includes timestamps and resource usage for auditing purposes.

Start using the SketricGen MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 18 tools

We've already built the connector for SketricGen. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 18 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.