# Relevance AI MCP for AI Agents AI Agent Connect > Relevance AI MCP lets you manage autonomous agents, trigger workflows, and monitor task results directly from your AI client. It gives you a way to oversee your multi-agent workforce without jumping between tabs. You can start agent tasks, check real-time progress, and list knowledge items through natural conversation. It turns your chat interface into a command center for your entire agentic infrastructure. ## Overview - **Category:** friends-mcp - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_VK34b7u7XHrGUmJTZUwVrOq87bUsNoTr4UuYi1gG/ai-agent-connect - **Tags:** multi-agent-systems, autonomous-agents, workflow-automation, task-orchestration, ai-infrastructure, llm-ops ## Description Relevance AI provides a platform for building multi-agent systems, and this Connector lets you take full control of that infrastructure from your chat interface. Instead of jumping back and forth between your agent's dashboard and your workspace, you can manage your entire autonomous workforce through natural conversation. You can trigger specific agents to perform goals, execute custom studios, and monitor long-running tasks without manual page refreshing. It puts the reins of your agentic workflows in your hands, letting you see the progress of your operations in real time. Because Vinkius makes it easy to connect these tools, you can turn your AI client into a dedicated orchestrator for your multi-agent system. Whether you're checking on a batch of leads or auditing a knowledge base, everything happens in one place. It's about removing the friction of manual monitoring and giving you a direct line to your autonomous agents. ## Tools ### get_knowledge Fetch specific details for a knowledge base. This lets you see what information an agent can access. ### list_executions See the full history of every agent execution. It's a complete log of your automated work. ### delete_task Remove a task record from your history. Use this to clean up your workspace or remove errors. ### get_agent_details Get the metadata and specific info for an agent. It helps you understand the agent's scope. ### get_task_status Check the current progress or final result of a task. You'll know exactly where a job stands. ### list_knowledge_items See what's inside your agent's knowledge base. It's a quick way to check your data sources. ### list_agent_tasks Pull up a list of recent tasks your agents have handled. Use this to see what's been getting done. ### trigger_tool Run a specific Studio or custom tool. This is great for executing specific, pre-defined actions. ### list_tools List every Studio and tool available in your account. This shows you the full range of your capabilities. ### list_agents List all the AI agents currently in your workspace. This helps you see which personas are ready to perform tasks. ### trigger_agent Start a new task for a specific agent. You can give it instructions and let it get to work. ## Prompt Examples **Prompt:** ``` Show me the status of the last 3 research tasks. ``` **Response:** ``` Here are the results for your recent research tasks: | Task ID | Status | Summary | | :--- | :--- | :--- | | #4421 | **Completed** | Market analysis for Q4 finished. Key finding: 15% growth in tech sector. | | #4422 | **Running** | Currently scraping competitor pricing. 60% complete. | | #4423 | **Failed** | Could not access source URL. Retrying in 5 minutes. ``` **Prompt:** ``` Which agents do I have active right now? ``` **Response:** ``` You have 4 active agents in your workspace: * **Lead Scraper**: Extracts inbound leads from your specified sources. * **Content Writer**: Generates blog posts and social copy. * **Data Analyst**: Performs SQL queries and creates visualizations. * **Market Researcher**: Conducts deep-dive industry analysis. ``` **Prompt:** ``` What's in my knowledge base for the sales team? ``` **Response:** ``` The sales team knowledge base contains the following items: * **Product_Specs_v2.pdf** (Updated 2 days ago) * **Pricing_Sheet_2024.csv** (Updated last week) * **Competitor_Comparison_Matrix** * **Customer_FAQ_Internal** ``` ## Capabilities ### Start autonomous agent tasks Trigger specific agents to perform goals with dynamic inputs from your chat app. ### Monitor real-time task progress Check the current status and final results of long-running background tasks. ### Access agent knowledge bases List and search through the items and datasets your agents use for reference. ### List all available agents See every autonomous agent in your workspace and their current metadata. ### Execute custom AI studios Run specific tools or studios with complex parameters using simple commands. ### View full execution histories Retrieve a complete log of every agent execution for auditing and monitoring. ## Use Cases ### Automated Lead Scoring An automation engineer asks the agent to run the Lead Qualifier. The agent uses `trigger_agent` to score 50 leads and reports back the results immediately. ### Real-Time Research Updates A manager wants to know if the research is done. They ask for the status, and the agent uses `get_task_status` to show the current progress and any findings. ### Knowledge Base Auditing A developer needs to see what data the bot has. They ask to list knowledge items, and the agent uses `list_knowledge_items` to show the current datasets. ### Batch Studio Execution A user needs to run a specific studio. They ask the agent to run the Data Cleaning Studio, and the agent uses `trigger_tool` to start the process. ## Benefits - Stop manual dashboard refreshing by using `get_task_status` to see real-time progress in your chat app. - Trigger complex multi-agent workflows instantly using `trigger_agent` instead of clicking through web menus. - Access your data sources faster by using `list_knowledge_items` to see what your agents know. - Keep your workspace clean by using `delete_task` to remove old or failed records from your history. - Monitor your entire automated infrastructure with `list_executions` to see every single action taken by your agents. ## How It Works The bottom line is you get a direct command line for your autonomous agent workforce inside your favorite chat app. 1. Subscribe to the Relevance AI MCP on Vinkius. 2. Enter your Relevance AI Region Code and API Key in your AI client. 3. Start managing your autonomous agents and tasks via natural language. ## Frequently Asked Questions **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` 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.