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Vinkius

SketricGen Connector for AI agents.

18 live capabilities

Orchestrate multi-agent workflows and manage knowledge bases

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AI Agent

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.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

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

  1. 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.

  2. 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.

  3. 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.

Capability set01 / 05

01—04

4 capabilities in this set.

Part of 18 available through SketricGen.

  1. 01 Capability

    Get agent

    Get the specific details for one AI agent. Use this to check the configuration of a specific agent.

  2. 02 Capability

    Get contact

    Get the profile details for a specific contact. This lets you pull specific customer info into your agent's context.

  3. 03 Capability

    Get conversation

    Fetch a specific conversation history. This helps you see what the agent and user discussed previously.

  4. 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.

Capability set02 / 05

05—08

4 capabilities in this set.

Part of 18 available through SketricGen.

  1. 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.

  2. 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.

  3. 07 Capability

    Get workflow

    Get the details for a specific workflow configuration. This lets you check the structure of your multi-agent logic.

  4. 08 Capability

    List agents

    See all the AI agents currently in your account. This is the quickest way to see your active agent roster.

Capability set03 / 05

09—12

4 capabilities in this set.

Part of 18 available through SketricGen.

  1. 09 Capability

    List conversations

    See a list of all previous conversations. This is useful for auditing past interactions with your agents.

  2. 10 Capability

    List contacts

    Browse all CRM-style contact profiles. You can use this to see your customer base or lead list.

  3. 11 Capability

    List knowledge bases

    View all your searchable knowledge bases. This helps you manage different data sources for different agents.

  4. 12 Capability

    List templates

    See the available workflow templates. Use this to find inspiration or pre-made logic for your next project.

Capability set04 / 05

13—15

3 capabilities in this set.

Part of 18 available through SketricGen.

  1. 13 Capability

    List traces

    See a list of all recent execution traces. This lets you quickly find specific runs to debug or review.

  2. 14 Capability

    List workflows

    View all the workflows you have created. This helps you keep track of all your automated logic.

  3. 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.

Capability set05 / 05

16—18

3 capabilities in this set.

Part of 18 available through SketricGen.

  1. 16 Capability

    Run workflow

    Start a multi-agent workflow execution. Use this to kick off a complex sequence of agent actions.

  2. 17 Capability

    Check sketricgen status

    Verify that your connection to the platform is active. Use this to ensure your API key is working correctly.

  3. 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 preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it SketricGen, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable SketricGen for the conversation.

Where the request belongs

Work SketricGen can move forward.

Built around the request

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.

01

AI Engineer

Building multi-agent systems that need to query internal docs and stay on track.

02

Prompt Designer

Testing complex logic flows and needing to see exactly where a prompt failed.

03

Automation Architect

Connecting CRM data to agentic workflows for customer support or sales.

Bring your own AI

Change the model, client or framework. Keep SketricGen connected.

  • 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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