
Connect SketricGen to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run complex multi-agent workflows with full execution visibility.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 18 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 18 available through SketricGen.
- 01
Get contact
This capability pulls specific contact details from your SketricGen account.
- 02
List contacts
Use this to see all contact profiles currently stored in the system.
- 03
List conversations
This capability provides a list of all existing conversation histories.
- 04
List knowledge bases
Get a list of all searchable knowledge bases you have created.
05-08
4 capabilities in this set.
Part of 18 available through SketricGen.
- 05
List templates
This capability retrieves all available workflow templates.
- 06
List traces
Access a list of all recent execution traces for debugging.
- 07
List workflows
This capability shows all the workflows configured in your account.
- 08
Run workflow with contact
This capability triggers a specific workflow and attaches a contact to the context.
09-12
4 capabilities in this set.
Part of 18 available through SketricGen.
- 09
Run workflow
Use this to start an AI workflow execution.
- 10
Check sketricgen status
This capability verifies that your connection to the SketricGen platform is active.
- 11
Delete conversation
This capability removes a specific conversation from your history.
- 12
Get trace
Get the full, granular details of a specific execution trace.
13-15
3 capabilities in this set.
Part of 18 available through SketricGen.
- 13
Get agent
This capability retrieves the configuration and details of a specific agent.
- 14
Get conversation
Retrieve the full history and details of a single conversation.
- 15
Get knowledge base
Get the specific details and contents of a selected knowledge base.
16-18
3 capabilities in this set.
Part of 18 available through SketricGen.
- 16
Get trace credits
Check how many credits have been used by your execution traces.
- 17
Get workflow
Retrieve the configuration and details of a specific workflow.
- 18
List agents
This capability returns a list of all AI agents in your SketricGen account.
Real work
What teams actually run
Automated Customer Support
An agent uses a knowledge base to answer user questions and triggers workflows to resolve issues.
Agentic Debugging
Developers inspect traces to see exactly where a multi-agent task failed.
CRM Integration
Agents pull contact profiles to personalize workflow executions.
Knowledge Retrieval
Agents query vector-searchable bases to provide accurate, data-driven answers.
Automate a task
Put SketricGen to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
SketricGen works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put SketricGen to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
932ms average. Fast in production.
SketricGen is checked daily against the live service.
- Fastest day
- 779ms
- Slowest day
- 1038ms
- 14-day trend
- Stable-2%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 18 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of SketricGen, so you can see the experience inside your AI.
It does not authenticate your account with SketricGen. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
SketricGen Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — SketricGen capabilities are ready to use.
{
"mcpServers": {
"sketricgen-mcp": {
"url": "https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up SketricGen in Claude and other AIs
Who it's for
Built for the work SketricGen owners hand off.
This MCP is built for technical teams building production-grade agentic systems.
- 01
AI Engineers
They use this to deploy and manage complex multi-agent architectures.
- 02
Prompt Designers
They use the tracing capabilities to refine how agents interact with workflows.
- 03
Automation Teams
They use the orchestration layer to connect agents to business data.
FAQ
Questions SketricGen owners ask.
- 01
How do I connect SketricGen to my AI client?
You subscribe to the MCP through Vinkius and provide your SketricGen API key. Once connected, your client can immediately use the available capabilities.
- 02
Can I see why a workflow failed?
Yes. You can use the tracing capabilities to pull detailed execution traces, which show the specific capability calls and logic steps taken during a run.
- 03
How are credits managed?
You can track credit consumption per run using the credit usage capabilities to monitor how much each workflow execution costs.
- 04
What kind of data can the agents access?
Agents can access CRM-style contact profiles and information stored in your vector-searchable knowledge bases.
- 05
Does this work with any AI client?
This MCP works with any MCP-compatible client, including Claude, Cursor, and Windsurf.
- 06
How can my AI analyze the execution steps of a specific workflow?
Simply use the debug_workflow_trace capability. Your agent will instantly retrieve the execution trace, detailing every capability call, data transfer between agents, and total credit consumption per run.
- 07
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.
- 08
Can I automatically trigger workflows tied to specific customer records?
Absolutely. Ask the agent to use the run_workflow_for_contact capability. It will execute the designated workflow while injecting the specific contact's history, enabling personalized, data-driven outputs.
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Connect SketricGen to Claude, Cursor, ChatGPT & more
