Relevance AI Connector for AI agents.
11 live capabilities
Manage autonomous agent workflows and multi-agent systems through natural conversation.
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Why people use Relevance AI
Relevance AI for Multi-Agent Workflow Orchestration
This Connector puts the control panel directly into your chat. You can ask your agent to trigger a workflow, check a status, or list your active agents without ever leaving your workspace. It turns your AI client into a command center for your entire autonomous workforce.
What Vinkius changes
You get a direct command line for your autonomous agent workforce inside your favorite chat app.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automated Lead Scoring
An automation engineer asks the agent to run the Lead Qualifier.
- Real-world use case 02
Real-Time Research Updates
A manager wants to know if the research is done.
- Real-world use case 03
Knowledge Base Auditing
A developer needs to see what data the bot has.
Complete set · 11capabilities
The complete Relevance AI capability set.
These are the exact actions your AI can choose when you ask it to work with Relevance AI.
01—04
4 capabilities in this set.
Part of 11 available through Relevance AI.
- 01 Capability
Get knowledge
Fetch specific details for a knowledge base. This lets you see what information an agent can access.
- 02 Capability
List executions
See the full history of every agent execution. It's a complete log of your automated work.
- 03 Capability
Delete task
Remove a task record from your history. Use this to clean up your workspace or remove errors.
- 04 Capability
Get agent details
Get the metadata and specific info for an agent. It helps you understand the agent's scope.
05—08
4 capabilities in this set.
Part of 11 available through Relevance AI.
- 05 Capability
Get task status
Check the current progress or final result of a task. You'll know exactly where a job stands.
- 06 Capability
List knowledge items
See what's inside your agent's knowledge base. It's a quick way to check your data sources.
- 07 Capability
List agent tasks
Pull up a list of recent tasks your agents have handled. Use this to see what's been getting done.
- 08 Capability
Trigger capability
Run a specific Studio or custom capability. This is great for executing specific, pre-defined actions.
09—11
3 capabilities in this set.
Part of 11 available through Relevance AI.
- 09 Capability
List capabilities
List every Studio and capability available in your account. This shows you the full range of your capabilities.
- 10 Capability
List agents
List all the AI agents currently in your workspace. This helps you see which personas are ready to perform tasks.
- 11 Capability
Trigger agent
Start a new task for a specific agent. You can give it instructions and let it get to work.
Set up in minutes
One URL. Then ask Relevance AI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Relevance AI 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_VK34b7u7XHrGUmJTZUwVrOq87bUsNoTr4UuYi1gG/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 Relevance AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Relevance AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_VK34b7u7XHrGUmJTZUwVrOq87bUsNoTr4UuYi1gG/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 Relevance AI URL.
- Step 03
Save and start
Save the connection and enable Relevance AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"relevance-ai": {
"url": "https://edge.vinkius.com/vk_preview_VK34b7u7XHrGUmJTZUwVrOq87bUsNoTr4UuYi1gG/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 Relevance AI
Open Agent mode in chat and ask: "Using Relevance AI, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"relevance-ai": {
"url": "https://edge.vinkius.com/vk_preview_VK34b7u7XHrGUmJTZUwVrOq87bUsNoTr4UuYi1gG/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 Relevance AI
Ask Copilot: "Using Relevance AI, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"relevance-ai": {
"url": "https://edge.vinkius.com/vk_preview_VK34b7u7XHrGUmJTZUwVrOq87bUsNoTr4UuYi1gG/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 Relevance AI
Open Cascade and ask: "Using Relevance AI, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"relevance-ai": {
"url": "https://edge.vinkius.com/vk_preview_VK34b7u7XHrGUmJTZUwVrOq87bUsNoTr4UuYi1gG/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 Relevance AI
Ask Cline: "Using Relevance AI, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add relevance-ai --transport http "https://edge.vinkius.com/vk_preview_VK34b7u7XHrGUmJTZUwVrOq87bUsNoTr4UuYi1gG/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 Relevance AI
Ask Claude: "Using Relevance AI, show me...". 11 tools are ready
Where the request belongs
Work Relevance AI can move forward.
This is for the AI Ops manager tired of switching tabs to check on agent progress, the automation engineer building complex multi-agent workflows, and the developer who needs real-time task results for custom business logic.
AI Operations Manager
Uses this to monitor the success rates of dozens of agents and check task statuses without leaving their primary workspace.
Automation Engineer
Triggers complex, multi-step agentic workflows through natural conversation to test and deploy new automation paths.
Developer
Integrates real-time task results and studio executions into custom business architectures to build more reactive systems.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRelevance AI
Automate autonomous AI agents via Relevance AI. manage capabilities, trigger tasks, and monitor results directly.
Langflow (Visual Multi-agent Orchestrator)
Orchestrate multi-agent AI workflows visually. execute flows, manage projects, and trigger webhooks directly from any AI agent.
VectorShift (AI Workflow & RAG Automation)
Automate AI workflows and RAG via VectorShift. manage pipelines, query knowledge bases, and deploy chatbots directly from any AI agent.
Dify
Manage agentic workflows via Dify. send chat messages, track conversations, audit app parameters, and handle file uploads directly from any AI agent.
AutoGen
Orchestrate Microsoft AutoGen multi-agent workflows. manage sessions, agent roles, workflows, and monitor execution logs from any AI agent.
Lindy (Autonomous AI Employees)
Manage autonomous AI employees via Lindy. trigger task runs, monitor reasoning logs, and audit app integrations.
Bring your own AI
Change the model, client or framework. Keep Relevance AI 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 Relevance AI.
The practical details behind the request, access and result.
Can I use Relevance AI MCP to start my agents?
Yes, you can trigger specific agents and tasks directly from your chat interface. This lets you kick off complex workflows using simple natural language commands.
How does Relevance AI MCP help with multi-agent systems?
It allows you to orchestrate multiple agents, check their individual statuses, and view their shared history in one place. It acts as a central command hub for your entire agentic workforce.
Can I see my agent's knowledge base with Relevance AI MCP?
You can list and search through the items in your agent's knowledge base using natural language. This makes it easy to verify what data your agents have access to.
Does Relevance AI MCP support real-time updates?
Yes, you can check the status of any task at any time to see real-time progress and final results. You'll never have to guess if a background task is still running.
Can I manage my Relevance AI studios with this?
You can list all your studios and execute them with specific parameters via your agent. This is perfect for running pre-defined, complex operations with custom inputs.
Is Relevance AI MCP good for AI Ops?
It is specifically designed for AI Ops because it centralizes task monitoring, agent orchestration, and execution history into a single, easy-to-use chat flow.
Can my AI automatically trigger another autonomous agent in Relevance AI?
Yes! Use the trigger_agent capability. Provide the agent_id and the user message/goal, and your agent will initiate the autonomous workflow in your Relevance account instantly.
How do I find my Region Code and API Key?
The Region Code is in your dashboard URL (e.g., bcbe5a). For the API Key, log in to Relevance AI, navigate to Settings > API Keys, and generate a new secret key.
One connection away
Give your agent a direct line to Relevance AI.
Connect Relevance AI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available