logseq-mcp

An MCP server for interacting with Logseq graphs, enabling AI assistants to read, create, and manipulate Logseq content.

→ alvinteh-git/logseq-mcp · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 1 credential: LOGSEQ_API_TOKEN

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configLOGSEQ_API_HOST— "": "localhost",

configLOGSEQ_API_PORT— "": "12315",

🔐 secretLOGSEQ_API_TOKEN

configLOGSEQ_MCP_LOG_LEVEL— "": "INFO",

configLOGSEQ_MCP_LOG_FILE— /custom/path.log # Custom log location (optional)

configLOGSEQ_MCP_DEBUG— true # Enable console output (default: false)

configLOGSEQ_MCP_LOG_MODE— Enable with =debug

configLOGSEQ_MCP_LOG_RETENTION_DAYS— 7 # Days to keep logs (default: none)

configLOGSEQ_MCP_LOG_MAX_SIZE— 10MB # Max file size before rotation (default: 10MB)

configLOGSEQ_MCP_PROJECT_ROOT— "": "/path/to/logseq-mcp"

configLOGSEQ_DELETE_ENABLED— AI-initiated data loss. Add "": "true" to the env block only

configLOGSEQ_MCP_TRANSPORT— sse python -m logseq_mcp_server

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/alvinteh-git-logseq-mcp-jv2gh1)](https://m8ven.ai/mcp/alvinteh-git-logseq-mcp-jv2gh1)

commit: 4851e152ccb3880fc6bb91c6e87533efa1083726

code hash: 7f3f0ceb728b95966ea776133c0dd363b26675a7045798542ff0e7fabdec344e

verified: 6/22/2026, 12:54:36 PM

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