Can I search across all my Logseq pages using my agent?

Yes. Use the `search_content` tool 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` tool 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` tool 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.

Logseq (Knowledge Management) MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Logseq (Knowledge Management)
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Logseq (Knowledge Management) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="logseq_knowledge_management_agent",
    instruction=(
        "You help users interact with Logseq (Knowledge Management) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Logseq (Knowledge Management) MCP Server

Connect your Logseq instance to any AI agent and take full control of your privacy-first knowledge graph and personal documentation through natural conversation.

Google ADK natively supports Logseq (Knowledge Management) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Graph Orchestration — List all pages and retrieve detailed hierarchical block trees representing your local outliner data directly from your agent
Page Management — Create new organized pages or journal entries and manage their lifecycle including irreversible deletion of metadata loops securely
Block Operations — Append, update, or delete individual outliner blocks, preserving precise UUID bounds and linking indices within your graph
Deep Content Search — Execute local queries to extract explicitly bound text targets across your entire knowledge base, including titles and namespaces
Hierarchical Inspection — Extract deeply nested outliner hierarchies to understand the complex structural relationships between your ideas and projects
Environment Audit — Identify current active graph paths and local database directories to verify your agent is targeting the correct knowledge store

The Logseq (Knowledge Management) MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Logseq (Knowledge Management) to Google ADK via MCP

Follow these steps to integrate the Logseq (Knowledge Management) MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Logseq (Knowledge Management) via MCP

Why Use Google ADK with the Logseq (Knowledge Management) MCP Server

Google ADK provides unique advantages when paired with Logseq (Knowledge Management) through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Logseq (Knowledge Management)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Logseq (Knowledge Management) tools with BigQuery, Vertex AI, and Cloud Functions

Logseq (Knowledge Management) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Logseq (Knowledge Management) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Logseq (Knowledge Management) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Logseq (Knowledge Management) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Logseq (Knowledge Management) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Logseq (Knowledge Management)

Logseq (Knowledge Management) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Logseq (Knowledge Management) to Google ADK via MCP:

create_page

Editor.createPage` deploying new pages including native markdown contents inside the local map. Create explicitly a new organized page in the Logseq target Graph

delete_block

Editor.removeBlock` erasing specific limit bounds dropping child dependencies explicitly. Delete an explicit active Block target removing explicit nodes safely

delete_page

Editor.deletePage` removing content arrays destroying metadata loops. Delete an entire explicit active Logseq page irreversibly

get_current_graph

Validate environment limits identifying explicit current graph arrays parsed natively

get_page

Retrieve metadata for a specific Logseq page by mapping name or UUID limits

get_page_blocks

Extract the hierarchical explicit native tree limit array block from a page map

insert_block

Editor.insertBlock` natively adding outliner chunks executing explicit properties updating nodes immediately. Append an explicitly managed Block limit tracking inside the specific Logseq map

list_pages

List all pages in the current Logseq graph

search_content

Execute local queries extracting explicitly bound text targets crossing Graph indices

update_block

Editor.updateBlock` safely preserving UUID bounds retaining linking indices natively. Modify raw properties explicitly bound inside a given Logseq tracked block

Example Prompts for Logseq (Knowledge Management) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Logseq (Knowledge Management) immediately.

"Search my Logseq graph for 'smart building research'"

"Create a new page called 'Meeting Notes' with content '# Meetings 2026'"

"Add a block to the 'Project Alpha' page: 'Verify API endpoints for production'"

Troubleshooting Logseq (Knowledge Management) MCP Server with Google ADK

Common issues when connecting Logseq (Knowledge Management) to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Logseq (Knowledge Management) + Google ADK FAQ

Common questions about integrating Logseq (Knowledge Management) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.