Logseq (Knowledge Management) Connector for AI agents.
10 live capabilities
Manage your personal knowledge graph and research notes through natural conversation.
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Why people use Logseq (Knowledge Management)
Logseq Knowledge Management for Faster Research
With this Connector, you just tell your agent what you need. It searches your local graph, pulls the relevant blocks, and presents them to you in a single chat. You get your answers without ever having to leave your current workspace.
What Vinkius changes
It turns your local Logseq outliner into a searchable, editable database for your AI client.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Research Synthesis
A researcher asks the agent to find all notes on smart building research and summarize the key points from the graph.
- Real-world use case 02
Meeting Management
A manager asks the agent to create a new Meeting Notes page and then adds specific agenda items using insert_block.
- Real-world use case 03
Dev Docs
A developer asks the agent to update a specific technical block in their project documentation to reflect a new API change.
Complete set · 10capabilities
The complete Logseq (Knowledge Management) capability set.
These are the exact actions your AI can choose when you ask it to work with Logseq (Knowledge Management).
01—04
4 capabilities in this set.
Part of 10 available through Logseq (Knowledge Management).
- 01 Capability
Get page blocks
Extracts the hierarchical tree of blocks from a specific page. This lets the agent see how your ideas are nested.
- 02 Capability
Insert block
Adds new outliner chunks to a page and updates the nodes. It allows for real-time content growth in your graph.
- 03 Capability
Update block
Modifies the raw properties of a specific block while keeping links. This is the best way to edit existing data.
- 04 Capability
Delete block
Erases a specific block and its child dependencies. Use this to remove specific points from an outliner.
05—07
3 capabilities in this set.
Part of 10 available through Logseq (Knowledge Management).
- 05 Capability
Search content
Runs local queries to find text across your entire graph. It is the primary way to retrieve specific information.
- 06 Capability
Get current graph
Verifies which graph and database directory your agent is currently using. This ensures your agent is in the right place.
- 07 Capability
List pages
Shows every page in your current Logseq graph. Use this to give your agent an overview of your content.
08—10
3 capabilities in this set.
Part of 10 available through Logseq (Knowledge Management).
- 08 Capability
Get page
Pulls specific metadata for a page using its name or unique ID. This helps the agent focus on one page at a time.
- 09 Capability
Create page
Deploys a new page into your graph with native markdown content. It is perfect for starting new research threads.
- 10 Capability
Delete page
Irreversibly removes a page and its associated metadata. Use this to clean up old or redundant notes.
Set up in minutes
One URL. Then ask Logseq (Knowledge Management) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Logseq (Knowledge Management) 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_kMDKB03kxqJ9X26G0WlmNUknXtj6UN59p0KJSs7t/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 Logseq (Knowledge Management), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Logseq (Knowledge Management) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kMDKB03kxqJ9X26G0WlmNUknXtj6UN59p0KJSs7t/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 Logseq (Knowledge Management) URL.
- Step 03
Save and start
Save the connection and enable Logseq (Knowledge Management) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"logseq-knowledge-management": {
"url": "https://edge.vinkius.com/vk_preview_kMDKB03kxqJ9X26G0WlmNUknXtj6UN59p0KJSs7t/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 Logseq (Knowledge Management)
Open Agent mode in chat and ask: "Using Logseq (Knowledge Management), help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"logseq-knowledge-management": {
"url": "https://edge.vinkius.com/vk_preview_kMDKB03kxqJ9X26G0WlmNUknXtj6UN59p0KJSs7t/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 Logseq (Knowledge Management)
Ask Copilot: "Using Logseq (Knowledge Management), help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"logseq-knowledge-management": {
"url": "https://edge.vinkius.com/vk_preview_kMDKB03kxqJ9X26G0WlmNUknXtj6UN59p0KJSs7t/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 Logseq (Knowledge Management)
Open Cascade and ask: "Using Logseq (Knowledge Management), help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"logseq-knowledge-management": {
"url": "https://edge.vinkius.com/vk_preview_kMDKB03kxqJ9X26G0WlmNUknXtj6UN59p0KJSs7t/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 Logseq (Knowledge Management)
Ask Cline: "Using Logseq (Knowledge Management), help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add logseq-knowledge-management --transport http "https://edge.vinkius.com/vk_preview_kMDKB03kxqJ9X26G0WlmNUknXtj6UN59p0KJSs7t/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 Logseq (Knowledge Management)
Ask Claude: "Using Logseq (Knowledge Management), show me...". 10 tools are ready
Where the request belongs
Work Logseq can move forward.
The research-heavy professional who has thousands of notes scattered across a graph and needs a faster way to synthesize information without manual searching.
Knowledge Worker
Finds research notes and drafts summaries during meetings without leaving their workspace.
Software Developer
Manages technical docs and project logs directly from their IDE or terminal.
PKM Enthusiast
Audits complex graph structures to keep their personal knowledge base clean and optimized.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsFlowUs
All-in-one knowledge management and collaboration platform. manage pages, blocks, and databases via AI.
Slab
Manage your team's knowledge base. query wiki articles, create new documentation, and explore topics directly using AI agents.
Wolai
All-in-one information organization and collaboration platform. manage pages, databases, and blocks via AI.
Tettra
Search, read, and create internal wiki pages on your Tettra knowledge base directly from your AI agent.
Craft (Docs & Notes)
Manage collaborative docs via Craft.do. list documents, handle blocks, track tasks, and retrieve daily notes directly from any AI agent.
Mem AI (Knowledge Workspace)
Manage your knowledge base via Mem.ai. create notes, run AI semantic search, and organize collections.
Bring your own AI
Change the model, client or framework. Keep Logseq 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 Logseq.
The practical details behind the request, access and result.
Can the Logseq MCP access my private notes?
Yes, it accesses your local graph directly. Because it runs locally, your data stays on your machine rather than being uploaded to a third-party cloud.
Does Logseq MCP work with Cursor?
Yes, it works with Cursor and any other MCP-compatible client. You just need to provide your local API token and host URL in the settings.
How do I set up Logseq MCP?
First, enable the HTTP API in your Logseq settings. Then, copy your API token and host URL into your AI client's MCP configuration.
Can the Logseq MCP delete my notes?
Yes, it can delete pages and blocks. However, these actions are irreversible, so it is best to use it for intentional cleanup of your knowledge base.
Is Logseq MCP better than just copy-pasting my notes?
It is much more efficient. Instead of manual copying, the Connector allows your agent to interact with the actual structure of your graph, maintaining your links and hierarchy.
Can I search across all my Logseq pages using my agent?
Yes. Use the search_content capability to execute deep property searches across your graph indices. Your agent will filter titles, namespaces, and block scopes to find the exact information you need.
How do I add a new note to a specific page?
Use the insert_block capability and provide the target Page name or ID. Your agent will drive the Logseq editor to add a new outliner chunk with your markdown content immediately.
Can my agent retrieve the hierarchical structure of a long page?
Absolutely. The get_page_blocks capability extracts the full hierarchical tree from a page map. Your agent will return the nested arrays of outliner blocks, ensuring you have the complete structural context of your data.
One connection away
Give your agent a direct line to Logseq.
Connect Logseq once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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