SketricGen Connector for AI agents.
18 live capabilities
Orchestrate multi-agent workflows and manage knowledge bases
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Why people use SketricGen
SketricGen for Multi-Agent Workflow Orchestration
With SketricGen, your agent pulls the contact info directly and runs a pre-defined workflow. You get a clear trace of every move it made, from the first capability call to the final response.
What Vinkius changes
You get a production-ready orchestration layer for complex agentic tasks.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automated Customer Support
An agent uses `run_workflow_with_contact` to handle a ticket, pulling specific user history and documentation from a knowledge base.
- Real-world use case 02
Internal HR Querying
A user asks about company benefits, and the agent pulls from the HR knowledge base to give a precise, grounded answer.
- Real-world use case 03
Sales Lead Management
An agent checks `list_contacts` to see if a lead exists before running a specific outreach workflow to avoid duplicates.
Complete set · 18capabilities
The complete SketricGen capability set.
These are the exact actions your AI can choose when you ask it to work with SketricGen.
01—04
4 capabilities in this set.
Part of 18 available through SketricGen.
- 01 Capability
Get agent
Get the specific details for one AI agent. Use this to check the configuration of a specific agent.
- 02 Capability
Get contact
Get the profile details for a specific contact. This lets you pull specific customer info into your agent's context.
- 03 Capability
Get conversation
Fetch a specific conversation history. This helps you see what the agent and user discussed previously.
- 04 Capability
Get knowledge base
Retrieve details about a specific knowledge base. Use this to see what data your agent has access to for specific tasks.
05—08
4 capabilities in this set.
Part of 18 available through SketricGen.
- 05 Capability
Get trace credits
Check how many credits were used during a trace. This helps you monitor your costs and stay within your budget.
- 06 Capability
Get trace
Look at the full execution details for a specific run. You can use this to see exactly where a workflow failed or succeeded.
- 07 Capability
Get workflow
Get the details for a specific workflow configuration. This lets you check the structure of your multi-agent logic.
- 08 Capability
List agents
See all the AI agents currently in your account. This is the quickest way to see your active agent roster.
09—12
4 capabilities in this set.
Part of 18 available through SketricGen.
- 09 Capability
List conversations
See a list of all previous conversations. This is useful for auditing past interactions with your agents.
- 10 Capability
List contacts
Browse all CRM-style contact profiles. You can use this to see your customer base or lead list.
- 11 Capability
List knowledge bases
View all your searchable knowledge bases. This helps you manage different data sources for different agents.
- 12 Capability
List templates
See the available workflow templates. Use this to find inspiration or pre-made logic for your next project.
13—15
3 capabilities in this set.
Part of 18 available through SketricGen.
- 13 Capability
List traces
See a list of all recent execution traces. This lets you quickly find specific runs to debug or review.
- 14 Capability
List workflows
View all the workflows you have created. This helps you keep track of all your automated logic.
- 15 Capability
Run workflow with contact
Trigger a workflow specifically for a saved contact. This allows your agent to perform actions tailored to a specific customer.
16—18
3 capabilities in this set.
Part of 18 available through SketricGen.
- 16 Capability
Run workflow
Start a multi-agent workflow execution. Use this to kick off a complex sequence of agent actions.
- 17 Capability
Check sketricgen status
Verify that your connection to the platform is active. Use this to ensure your API key is working correctly.
- 18 Capability
Delete conversation
Remove a conversation from your history. This lets you clean up old data or sensitive interactions.
Set up in minutes
One URL. Then ask SketricGen to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use SketricGen from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it SketricGen, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable SketricGen for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the SketricGen URL.
- Step 03
Save and start
Save the connection and enable SketricGen in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"sketricgen": {
"url": "https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using SketricGen
Open Agent mode in chat and ask: "Using SketricGen, help me...". 18 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"sketricgen": {
"url": "https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using SketricGen
Ask Copilot: "Using SketricGen, help me...". 18 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"sketricgen": {
"url": "https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using SketricGen
Open Cascade and ask: "Using SketricGen, help me...". 18 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"sketricgen": {
"url": "https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using SketricGen
Ask Cline: "Using SketricGen, help me...". 18 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add sketricgen --transport http "https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using SketricGen
Ask Claude: "Using SketricGen, show me...". 18 tools are ready
Where the request belongs
Work SketricGen can move forward.
AI engineers and automation leads who are tired of agents getting stuck in loops. It's for the person building production-grade systems that need reliability and audit trails.
AI Engineer
Building multi-agent systems that need to query internal docs and stay on track.
Prompt Designer
Testing complex logic flows and needing to see exactly where a prompt failed.
Automation Architect
Connecting CRM data to agentic workflows for customer support or sales.
Build the capability set
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Huginn (IFTTT Alternative)
Automate workflows with Huginn. manage agents, trigger webhooks, and orchestrate complex scenarios directly from your AI agent.
Karbon
Manage your accounting firm's workflow, contacts, and work items directly via AI agents.
GUIDEcx
Automate customer onboarding via GUIDEcx. manage projects, tasks, and time tracking directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep SketricGen connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about SketricGen.
The practical details behind the request, access and result.
What is SketricGen MCP for?
SketricGen MCP is used for orchestrating multi-agent workflows and managing searchable knowledge bases. It helps your AI agents perform complex, multi-step tasks with full audit trails.
Can SketricGen help with my CRM data?
Yes. It manages contact profiles directly, allowing your agents to pull customer information into their context to provide more personalized responses.
How do I see why my agent failed?
You can use the tracing feature to see exactly where a workflow failed. It shows every step the agent took, including capability calls and the logic used at each point.
Does SketricGen support knowledge bases?
Yes, it allows you to create and query vector-searchable knowledge bases. This ensures your agents stay grounded in your specific company data.
Can I see how much my workflows cost?
Yes. SketricGen tracks credit consumption for every run, so you can monitor your usage and manage your costs effectively.
How do I run a specific workflow for a customer?
You can trigger a workflow specifically for a saved contact. This allows the agent to perform actions tailored to a specific customer's profile and history.
Can I see my past conversations?
Yes, SketricGen allows you to list and retrieve previous conversation histories, which is helpful for auditing past interactions or maintaining context.
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.
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 capability. It will execute the designated workflow while injecting the specific contact's history, enabling personalized, data-driven outputs.
One connection away
Give your agent a direct line to SketricGen.
Connect SketricGen once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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