What is mcp-pkm-logseq CLAUDE.md?

Repository-specific instructions for an MCP server that lets AI assistants retrieve Logseq pages and blocks through Logseq’s API. Logseq is a personal knowledge-management application.

Use them when changing the Logseq connector, converting retrieved content to Markdown, configuring its API connection, or running its Python tests.

They explain the server components, required connection settings, and commands for testing, building, and publishing the package.

How ruliana/mcp-pkm-logseq configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to ruliana/mcp-pkm-logseq. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/ruliana/mcp-pkm-logseq/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/ruliana/mcp-pkm-logseq

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/ruliana/mcp-pkm-logseq/claude-md/github.svg)](https://agentmods.dev/instructions/ruliana/mcp-pkm-logseq/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/ruliana/mcp-pkm-logseq/claude-md"><img src="https://agentmods.dev/badge/instructions/ruliana/mcp-pkm-logseq/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/ruliana/mcp-pkm-logseq/claude-md"><img src="https://agentmods.dev/badge/instructions/ruliana/mcp-pkm-logseq/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 686 This file is loaded in full into every session.

When invoked 686 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00686	$0.00686
Opus 5.5	$0.00274	$0.00274
Sonnet 5.5	$0.00137	$0.00137
Haiku 4.5	$0.00069	$0.00069

Measured 2mo ago against content hash 56c4b3ae9633, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-pkm-logseq CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

A Model Context Protocol (MCP) server for interacting with Logseq Personal Knowledge Management system. This package enables AI assistants to access Logseq pages and blocks through the MCP interface, making personal knowledge available for retrieval during conversations.

The project consists of:

server.py: MCP server with resources and tools definition
request.py: HTTP client handling Logseq API communication
to_markdown.py: Converts Logseq page/block structure to markdown format

Environment Variables

LOGSEQ_API_KEY: API key for authenticating with Logseq
LOGSEQ_URL: Logseq API endpoint (default: http://localhost:12315)

Commands

Run tests: uv run pytest src
Run single test: uv run pytest src/mcp_pkm_logseq/test_file.py::test_function
Run tests for a single function: uv run pytest src/mcp_pkm_logseq/test_file.py -k test_function
Install dependencies: uv sync
Build package: uv build
Publish package: uv publish

Claude Code Task Management

Use these Claude Code slash commands to manage task documentation:

/project:new-task "Task Title" - Create a new task.md with comprehensive context
/project:archive-task [optional-component] - Archive current task.md to the tasks directory
/project:use-task-context [search-terms] - Find relevant context from past tasks
/project:list-tasks [optional-component] - List all archived tasks with filtering

Project Structure

server.py: Main MCP server with:
- guide(): Resource showing initial instructions
- personal_notes(): Tool retrieving notes by topic tags
request.py: Handles HTTP requests to Logseq API with error handling
to_markdown.py: Data models and conversion logic:
- Page dataclass: Page metadata
- Block dataclass: Hierarchical block structure
- page_to_markdown(): Main conversion function

Read the full file on GitHub · 61 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 61 lines · 686 tokens per session scan A 56c4b3ae9633

Subscribe to this mod's changes

mcp-pkm-logseq CLAUDE.md is an instructions file published in the GitHub repository ruliana/mcp-pkm-logseq (9 stars, last pushed 1y ago), licensed MIT. It adds 686 tokens to every session, about $0.0027 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Memory and context

mcp-pkm-logseq CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
mcp-pkm-logseq CLAUDE.mdruliana/mcp-pkm-logseq	Instructions file	9	1y ago	MIT	A	686	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

mcp-pkm-logseq: Instructions file for Claude Code