Cognee Connector for AI agents.
4 live capabilities
Build a knowledge graph to map complex relationships in your unstructured data.
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Why people use Cognee
Cognee Knowledge Graph for Complex Data Reasoning
This Connector fixes that by building a map. Instead of searching for keywords, your agent traverses a web of entities. You get answers that actually show how concepts connect across your entire knowledge base.
What Vinkius changes
You turn messy documents into a structured map your agent can actually navigate.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Connecting research dots
A scientist wants to know how three different drugs might interact based on 500 separate papers using cognee_search.
- Real-world use case 02
Corporate wiki navigation
An HR lead needs to see all connections between employees, projects, and specific software permissions using cognee_get_insights.
- Real-world use case 03
Legal discovery
A lawyer asks the agent to find all mentions of a specific company and see which other entities it is linked to in contracts.
Complete set · 4capabilities
The complete Cognee capability set.
These are the exact actions your AI can choose when you ask it to work with Cognee.
01—04
4 capabilities in this set.
Part of 4 available through Cognee.
- 01 Capability
Cognee add data
Upload raw text or documents into a specific dataset for processing. This is the first step to building your knowledge graph.
- 02 Capability
Cognee cognify
Turn your uploaded data into a structured graph by extracting entities and relationships. This creates the searchable structure.
- 03 Capability
Cognee get insights
Pull structured views of how different topics and entities connect across your data. It helps find hidden links in your knowledge base.
- 04 Capability
Cognee search
Ask natural language questions to get context-aware answers. It uses graph traversal to find relevant connections.
Set up in minutes
One URL. Then ask Cognee to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cognee from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Cognee, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cognee for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Cognee URL.
- Step 03
Save and start
Save the connection and enable Cognee in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cognee": {
"url": "https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Cognee
Open Agent mode in chat and ask: "Using Cognee, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cognee": {
"url": "https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Cognee
Ask Copilot: "Using Cognee, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cognee": {
"url": "https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Cognee
Open Cascade and ask: "Using Cognee, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cognee": {
"url": "https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Cognee
Ask Cline: "Using Cognee, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cognee --transport http "https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Cognee
Ask Claude: "Using Cognee, show me...". 4 tools are ready
Where the request belongs
Work Cognee can move forward.
For researchers and data engineers who are tired of hallucinating RAG results because their AI does not understand the context of their data.
Knowledge Manager
Mapping out complex corporate wikis and finding hidden dependencies between departments.
Research Analyst
Connecting dots across hundreds of academic papers to see how different theories evolved over time.
Data Engineer
Building production-grade search systems that need more than just basic keyword matching.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Tana
Connect your AI to Tana. Build intelligent knowledge graphs, define supertags, and capture dynamic nested nodes directly from the prompt.
Wikidata
Access the world's largest open knowledge graph—query entities via SPARQL, perform vector searches, and manage structured data directly from your AI agent.
R2R
Equip your AI with direct access to your R2R engine. execute vector searches, run precise RAG queries, and manage your documents.
Verba
Connect your Verba RAG platform to your AI agent. Search your documents, retrieve semantic answers, and manage your Weaviate knowledge base directly.
Cognita (RAG Framework)
Manage modular RAG via Cognita. list collections, ingest data sources, and perform AI-driven Q&A directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Cognee connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Cognee.
The practical details behind the request, access and result.
How does Cognee help with my messy notes?
Cognee turns your messy notes into a structured map. It identifies the people, places, and events in your notes and draws lines between them so your agent can understand the full picture.
Can Cognee find hidden connections?
Yes, it can. By building a knowledge graph, it allows your agent to follow paths between different pieces of data that might not share any common words but are logically linked.
Is Cognee better than regular search?
It is more context-aware. While regular search finds words, Cognee helps your agent understand the relationships between those words, leading to much more accurate and useful answers.
Can I use Cognee for research papers?
It is excellent for research. It can connect theories, authors, and dates across hundreds of papers, helping you see how different ideas evolved or influenced one another.
How does Cognee handle time?
Cognee tracks when facts were added to the graph. This allows your agent to reason over time-based connections and see how information has changed or progressed.
Does Cognee work with my existing data?
Yes, you can ingest any raw text, documents, or structured data you already have. It then processes that data to build your custom knowledge graph.
How is Cognee different from standard RAG?
Standard RAG splits documents into chunks and finds similar text using vector search. but it loses the relationships between facts. Cognee builds a knowledge graph that preserves entity relationships, temporal connections, and hierarchical structures. When you search, Cognee uses graph traversal combined with vector similarity and LLM reasoning, resulting in more accurate, context-aware answers that understand HOW facts relate to each other.
What search types are available?
Cognee supports four retrieval strategies: GRAPH_COMPLETION (default. combines vector search + graph traversal + LLM reasoning for context-aware answers), SUMMARIES (fast hierarchical overview search), INSIGHTS (structured entity relationships), and CHUNKS (pure vector similarity for raw text passages). Each strategy optimizes for different use cases.
Is Cognee open-source?
Yes! Cognee is fully open-source under the Apache 2.0 license. You can self-host the entire platform including the knowledge graph engine, vector database, and API server. A managed cloud version with API keys is also available for teams that prefer not to manage infrastructure.
One connection away
Give your agent a direct line to Cognee.
Connect Cognee once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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