# Relevance AI MCP for AI Agents AI Agent Connect

> Relevance AI MCP lets you manage your autonomous AI workforce directly from your chat interface. You can trigger agents, run custom studios, and check task progress without leaving your AI client. It gives you a direct line to your Relevance AI infrastructure, making it easy to scale multi-agent systems through natural conversation.

## Overview
- **Category:** industry-titans
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_iFwRUZhAj5suaTidWNZC08UUh2XO1rOjS6rvlZqI/ai-agent-connect
- **Tags:** multi-agent-systems, autonomous-agents, workflow-automation, task-orchestration, ai-infrastructure, llm-ops

## Description

This Connector puts your infrastructure under your direct control. Instead of jumping back and forth between your agent's dashboard and your chat window, you can handle everything in one place. You can kick off complex multi-agent workflows, run custom studios with specific parameters, and check on long-running tasks as they happen. It turns your AI client into a command center for your autonomous agents. If you're looking to scale your AI operations, this is how you move from high-level goals to actual execution. By connecting this to the Vinkius catalog, you get a reliable way to manage your agentic infrastructure without the friction of manual monitoring. You can see what your agents are doing, grab specific data from their knowledge bases, and keep your workflows in sync in real time. You can manage regional deployments and track system activity with simple commands. It takes the complexity out of managing a large fleet of agents by giving you a single point of interaction for every task, studio, and knowledge item.

## Tools

### get_knowledge
Relevance AI MCP gets the specific details for a knowledge base item. This helps you pull exact facts into your conversation without searching through folders.

### list_executions
Relevance AI MCP views the full history of your agent executions. Use this to see every time an agent ran and what the final result was.

### delete_task
Relevance AI MCP permanently removes a specific task record from your history. This keeps your workspace clean by getting rid of old logs.

### get_agent_details
Relevance AI MCP pulls metadata and status for a specific AI agent. You can check if an agent is active or see its specific configuration details.

### get_task_status
Relevance AI MCP checks the current progress and final results of a background task. This lets you see if a long job is still running or already finished.

### list_agents
Relevance AI MCP sees a complete list of all autonomous agents in your workspace. It is the quickest way to see every persona you have built.

### list_knowledge_items
Relevance AI MCP browses through all items in your agent's knowledge base. This helps you understand what data your agent has access to right now.

### list_agent_tasks
Relevance AI MCP views a list of the most recent tasks performed by your agents. Use this to quickly see what your workforce has been doing lately.

### list_tools
Relevance AI MCP sees all available studios and custom tools in your account. Use this to keep track of every custom operation you have built.

### trigger_agent
Relevance AI MCP starts a new task for a specific autonomous agent. You can give it a goal and let it work in the background while you do other things.

### trigger_tool
Relevance AI MCP executes a specific custom Studio or tool with provided parameters. This lets you run complex, multi-step operations with specific inputs.

## Prompt Examples

**Prompt:** 
```
List all my available autonomous agents.
```

**Response:** 
```
I've retrieved your agents. You have 3 active personas: **Market Researcher**, **Data Analyst**, and **Sales Lead**. Which one would you like to trigger?
```

**Prompt:** 
```
Show me all AI agents in my workspace with their execution statistics from the last 7 days.
```

**Response:** 
```
| Agent Name | Tasks | Success Rate | Avg Time |
| :--- | :--- | :--- | :--- |
| Customer Support | 1,234 | 98.2% | 3.4s |
| Lead Qualifier | 567 | 87.0% | 5.1s |
| Content Writer | 89 | 99.0% | 12.5s |
**Total Executions:** 2,658
**Total Cost:** $84.60
```

**Prompt:** 
```
Trigger the Lead Qualifier agent to analyze and score a batch of 50 new inbound leads.
```

**Response:** 
```
Lead Qualifier agent triggered for batch processing. **50 leads submitted** for analysis.

**Current Status:**
- Completed: 34
- In Queue: 16

**Results so far:**
- **Hot:** 8
- **Warm:** 14
- **Cold:** 12

Top lead: Sarah Chen from Meridian Corp (score: 96). Results will be synced to your CRM automatically.
```

## Capabilities

### Trigger autonomous agents
Relevance AI MCP starts agent tasks for specific goals with dynamic inputs.

### Execute custom studios
Relevance AI MCP runs specific tools with complex parameters directly from your chat.

### Monitor task progress
Relevance AI MCP provides real-time updates for background tasks and final results.

### Search knowledge bases
Relevance AI MCP lets you list and search through agent knowledge items via natural language.

### Manage system activity
Relevance AI MCP tracks regional deployments and system activity using simple commands.

## Use Cases

### Lead Scoring Automation
An automation engineer triggers a lead scoring agent to analyze 50 new leads and receives a summary of hot versus cold leads in the chat.

### Knowledge Retrieval
A support lead asks the agent to find specific documentation items to answer a complex customer query using the knowledge base search.

### Batch Data Processing
An ops manager runs a custom studio to process a large dataset and then asks the agent for the final completion status.

### Workforce Auditing
A developer pulls a history of agent executions to see how many tasks succeeded over the last week and identify any errors.

## Benefits

- Stop refreshing browser dashboards by getting real-time status updates on every background job directly in your chat window.
- Launch complex multi-agent workflows instantly without manually entering data into a web form or dashboard.
- Query your agent's specific knowledge base items to find the exact data you need for a conversation.
- Manage your entire fleet of autonomous agents from one place to see what personas are active and available.
- Keep your workspace organized by clearing out old task records and maintaining a clean history of your operations.

## How It Works

The bottom line is you get a direct command line to your Relevance AI workforce inside your favorite chat app.

1. Subscribe to the Connector and grab your Relevance AI Region Code and API Key.
2. Add these credentials to your AI client's configuration.
3. Start giving your agent commands to trigger workflows or check task history.

## Frequently Asked Questions

**How does Relevance AI MCP help with multi-agent workflows?**
It gives you a central way to trigger and monitor multiple agents at once. You can start a workflow with one agent and check the status of another, all within your chat interface.

**Can I use Relevance AI MCP to see my task history?**
Yes, you can view the full history of your agent executions. This helps you audit what your agents have done, how many tasks succeeded, and what the final outputs were.

**Does Relevance AI MCP support custom studios?**
It does. You can execute specific custom studios or tools with complex parameters using natural language commands, making it easier to run specialized operations.

**How do I manage my knowledge base with Relevance AI MCP?**
You can list and search through your agent's knowledge base items directly. This allows you to verify what data your agents have access to without leaving your AI client.

**Is Relevance AI MCP good for scaling AI operations?**
It is designed for scaling. By providing a direct command line to your Relevance AI infrastructure, it removes the friction of manual dashboard management for large fleets of agents.

**Can I delete old tasks using Relevance AI MCP?**
Yes, you can permanently remove specific task records. This helps you keep your workspace organized and your task history clean.

**Can my AI automatically trigger another autonomous agent in Relevance AI?**
Yes! Use the `trigger_agent` tool. 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.