Can the agent monitor a long-running relevance AI agent task?

Yes. You can trigger an agent using `trigger_agent`, and because it provides a `run_id`, you can explicitly prompt your local Assistant to periodically "check in on the status using `get_agent_run` every minute until finished" or ask it to summarize the step-by-step agent logs after completion.

What is the differences between tasks, tools, and agents in Relevance AI?

Agents are autonomous workers capable of making step-by-step reasoning choices based on instructions and tools. Tasks are linear, pre-chained sets of commands and prompts. Tools (`list_tools`) are the individual capabilities, like a custom API integration or web scraper, that tasks and agents utilize to perform their actions.

How do I find my specific Region and Project ID?

These details are typically nested within the URL string when you are logged into your workspace or found globally in your developer API keys configuration pane inside your Relevance AI team dashboard. The Region is usually something like 'us-east-1' or 'v2'.

Relevance AI MCP Server

Name: Relevance AI
Availability: InStock
Author: Vinkius

relevanceai.com

Built by Vinkius GDPR ToolsFree

Equip your AI to trigger custom autonomous agents, execute chained prompts, and manage unstructured knowledge datasets directly within your Relevance AI studio.

Vinkius AI Gateway supports streamable HTTP and SSE.

Works with every AI agent you already use

…and any MCP-compatible client

Relevance AI MCP Server: see your AI Agent in action

AI Agent→Vinkius→Relevance AI

You

Vinkius AI Gateway

GDPR·High Security·Kill Switch·Ultra-Low Latency·Plug and Play

Built-in capabilities (10)

delete_documents

This action is irreversible. Deletes documents from a dataset by their IDs

get_agent_run

Retrieves the status and logs of a specific agent run

get_documents

Retrieves documents from a dataset

insert_documents

Provide documents as a JSON array of objects. Inserts documents into a dataset

list_agents

Lists all AI agents in the Relevance AI studio

list_datasets

Lists all datasets (knowledge tables) in the project

list_tasks

Lists all tasks (chained prompts) in the studio

list_tools

Lists all custom tools registered in the studio

trigger_agent

Provide inputs as a JSON object. Triggers an AI agent execution

trigger_task

Triggers a specific task execution

What this connector unlocks

Connect your conversational AI to your Relevance AI workspace. By wrapping your custom agents, datasets, and API tools into this MCP extension, you transform your chat interface into a command center for orchestrating complex, autonomous AI operations and large-scale data workflows.

What you can do

Orchestrate Agents — Command your pre-built autonomous agents to execute tasks (trigger_agent). Monitor their progress and read their exact reasoning steps dynamically (get_agent_run). Use list_agents to discover all available AI worker configurations.
Execute Tasks & Workflows — Trigger predefined chained prompts or specific micro-tasks without leaving your chat (trigger_task), scaling repetitive workflows reliably.
Manage Knowledge Datasets — Take full control of your vector databases and tables. Insert new rows of knowledge directly from conversational context (insert_documents), retrieve raw unstructured data entries (get_documents), or surgically delete obsolete knowledge base items (delete_documents).

How it works

1. Add the Relevance AI extension to your MCP hub.
2. Supply your Project ID, API Key, and your assigned Region (e.g., "us-east-1" or "v2") from your Relevance AI settings.
3. Prompt your assistant: "Trigger the 'Lead Research' agent with the company name 'Google' and monitor the run until completion. Then, insert the output directly into our 'competitors' dataset."

Who is this for?

AI Engineers & Builders — Run end-to-end tests on your chained logic and customized agents directly from your terminal or chat without touching the studio GUI.
Data Analysts — Move processed insights, raw texts, and structured metadata into Relevance AI datasets using natural language.
Operations Teams — Combine the output of your everyday AI chat intimately with your specialized Relevance AI autonomous agents for highly productive compounding workflows.

Frequently asked questions

Give your AI agents the power of Relevance AI

Access Relevance AI and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.

DETAILS

CategorySuperpower

Google BigQuery

7 tools

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6 tools

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RunPod

7 tools

Integrate your AI securely to RunPod to cleanly quickly provision scalable GPU pods, manage active instances, and inspect serverless endpoints and custom templates natively.

Focus NFe

5 tools

Emit, consult, cancel and download XML for NFS-e and NF-e via Focus NFe API.

Diffbot

10 tools

Automate web data extraction via Diffbot — turn any website into structured JSON data for articles, products, discussions, and more directly from any AI agent.

GiveWP

9 tools

Manage donation forms, track donors, and oversee fundraising stats via AI agents with GiveWP.