Relevance AI MCP Server for VS Code CopilotGive VS Code Copilot instant access to 11 tools to Delete Task, Get Agent Details, Get Knowledge, and more
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
Ask AI about this MCP Server for VS Code Copilot
The Relevance AI MCP Server for VS Code Copilot 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.
GitHub Copilot Agent mode brings Relevance AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 11 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot
When VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to wire Relevance AI into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Create MCP config
.vscode/mcp.json file in your project rootAdd the server config
Enable Agent mode
Start using Relevance AI
Why Use VS Code Copilot with the Relevance AI MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Relevance AI through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Relevance AI + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Relevance AI MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Example Prompts for Relevance AI in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting Relevance AI to VS Code Copilot through Vinkius, and how to resolve them.
MCP tools not available
Relevance AI + VS Code Copilot FAQ
Common questions about integrating Relevance AI MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Explore More MCP Servers
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