Cognee MCP Server for VS Code Copilot 4 tools — connect in under 2 minutes
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.
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{
"mcpServers": {
"cognee": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Cognee MCP Server
Connect your AI agent to Cognee — the open-source knowledge graph platform that transforms unstructured data into structured, searchable knowledge.
GitHub Copilot Agent mode brings Cognee data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 4 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Add Data — Ingest raw text, documents, or structured data into named datasets. Cognee processes and stores the data for subsequent graph construction
- Cognify — Transform ingested data into a structured knowledge graph by automatically extracting entities, relationships, and semantic connections
- Search Knowledge — Query the knowledge graph using four retrieval strategies: graph-aware completion (LLM + graph traversal), summaries, structured insights, or raw vector similarity
- Get Insights — Retrieve structured entity relationships showing how concepts connect across your knowledge base
Why Cognee over standard RAG?
- Relationship-aware — understands HOW facts connect, not just what they say
- Graph + Vector hybrid — combines graph traversal with semantic search for superior recall
- Temporal awareness — tracks when facts were added and reason over time-based connections
The Cognee MCP Server exposes 4 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Cognee to VS Code Copilot via MCP
Follow these steps to integrate the Cognee MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Cognee
Ask Copilot: "Using Cognee, help me...". 4 tools available
Why Use VS Code Copilot with the Cognee MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Cognee 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
Cognee + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Cognee 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
Cognee MCP Tools for VS Code Copilot (4)
These 4 tools become available when you connect Cognee to VS Code Copilot via MCP:
cognee_add_data
After ingestion, use the cognify tool to process the data into a structured knowledge graph with entities and relationships. Ingest text or documents into the Cognee knowledge base. This is the first step before building a knowledge graph
cognee_cognify
This step extracts entities, identifies relationships, generates embeddings, and creates the graph structure needed for intelligent search. Process ingested data into a structured knowledge graph. Extracts entities, relationships, and builds a searchable graph structure
cognee_get_insights
Useful for understanding relationships between topics, discovering hidden connections, and building comprehensive knowledge views. Retrieve structured entity relationships and insights from the knowledge graph
cognee_search
Search the knowledge graph using natural language. Returns context-aware answers using graph traversal and semantic search
Example Prompts for Cognee in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Cognee immediately.
"Add this research data to my knowledge base: 'Transformer models were introduced by Vaswani et al. in 2017 in the paper Attention Is All You Need. They use self-attention mechanisms and have become the foundation for models like GPT, BERT, and T5.'"
"Process my data into a knowledge graph."
"What is the relationship between Transformers and GPT?"
Troubleshooting Cognee MCP Server with VS Code Copilot
Common issues when connecting Cognee to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Cognee + VS Code Copilot FAQ
Common questions about integrating Cognee 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.Connect Cognee with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cognee to VS Code Copilot
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.