Relevance AI MCP Server for CursorGive Cursor instant access to 11 tools to Delete Task, Get Agent Details, Get Knowledge, and more
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this MCP Server for Cursor
The Relevance AI MCP Server for Cursor is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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The modern way to manage MCP Servers — no config files, no terminal commands. Install Relevance AI and 4,000+ MCP Servers from a single visual interface.





* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Relevance AI MCP Server
Connect your Relevance AI account to any AI agent and take full control of your autonomous AI workforce and tool orchestration through natural conversation. Relevance AI provides a world-class platform for building and scaling multi-agent systems, and this integration allows you to trigger autonomous agents, execute custom studios (tools), and monitor long-running task histories directly from your chat interface.
Cursor's Agent mode turns Relevance AI into an in-editor superpower. Ask Cursor to generate code using live data from Relevance AI and it fetches, processes, and writes. all in a single agentic loop. 11 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Agent & Workforce Orchestration — List all available autonomous agents and trigger them to perform specific goals with dynamic inputs programmatically.
- Studio & Tool Intelligence — Access and monitor your custom AI 'Studios' and execute them with complex parameters directly from the AI interface.
- Task Lifecycle Management — Retrieve real-time progress for background tasks and monitor final outputs to ensure your autonomous workflows are always synchronized.
- Knowledge & RAG Control — List and search through your agent's knowledge base items and datasets via natural language.
- Operational Monitoring — Track system activity and manage regional deployments using simple AI commands.
The Relevance AI MCP Server exposes 11 tools through the Vinkius. Connect it to Cursor in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Relevance AI tools available for Cursor
When Cursor connects to Relevance AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-agent-systems, autonomous-agents, workflow-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Delete task on Relevance AI
Permanently delete a task record
Get agent details on Relevance AI
Get metadata for an agent
Get knowledge on Relevance AI
Get details for a knowledge base
Get task status on Relevance AI
Check status and results of a task
List agent tasks on Relevance AI
List recent agent tasks
List agents on Relevance AI
List all AI agents
List executions on Relevance AI
List all agent execution history
List knowledge items on Relevance AI
List knowledge base items
List tools on Relevance AI
List all studios/tools
Trigger agent on Relevance AI
Start an agent task
Trigger tool on Relevance AI
Execute a specific tool (Studio)
Connect Relevance AI to Cursor via MCP
Follow these steps to wire Relevance AI into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using Relevance AI
Why Use Cursor with the Relevance AI MCP Server
Cursor AI Code Editor provides unique advantages when paired with Relevance AI through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Relevance AI + Cursor Use Cases
Practical scenarios where Cursor combined with the Relevance AI MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for Relevance AI in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Relevance AI immediately.
"List all my available autonomous agents."
"Show me all AI agents in my workspace with their execution statistics from the last 7 days."
"Trigger the Lead Qualifier agent to analyze and score a batch of 50 new inbound leads."
Troubleshooting Relevance AI MCP Server with Cursor
Common issues when connecting Relevance AI to Cursor through Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Relevance AI + Cursor FAQ
Common questions about integrating Relevance AI MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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