siyuan-mcp-server
PyPI
v0.30.0
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
思源笔记 MCP Server - 提供思源笔记API的MCP工具接口
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 5 = 95. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — statically extracted from the published source.
execute_sqlreads sensitive datalist_filesreads sensitive dataappend_blockno sensitive capabilitycreate_documentno sensitive capabilitydelete_blockno sensitive capabilityfind_documentsno sensitive capabilityfind_notebooksno sensitive capabilityget_block_changesno sensitive capabilityget_block_contentno sensitive capabilityget_block_diffsno sensitive capabilityget_blocks_contentno sensitive capabilityget_fileno sensitive capabilityget_file_base64no sensitive capabilityget_history_fileno sensitive capabilityinsert_blockno sensitive capabilitylist_history_entriesno sensitive capabilitymove_blockno sensitive capabilityprepend_blockno sensitive capabilitypush_error_messageno sensitive capabilitypush_messageno sensitive capabilitysearch_blocksno sensitive capabilityupdate_blockno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.30.0 latest |
A 95/100 | 0 | 1.13.0 | 2026-08-25 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan siyuan-mcp-server --online --registry pypi
Independent packages implementing the same tool, scanned with the same engine. Compare all 8 side by side →
Safe, structured Model Context Protocol server for SiYuan Note
思源笔记MCP服务器
思源笔记MCP服务器
思源笔记MCP服务器
SiYuan Note MCP Server - Model Context Protocol server for SiYuan Note
Model Context Protocol server for SiYuan notes with AI integration and token optimization
MCP server for 2s.io — 575+ pay-per-call tools for AI agents — ground-truth data, AI gateway, and agent infra (storage, locks, queues, watchers). x402 USDC on Base/Solana, no API keys, upto usage billing, free trials.
ArXiv preprints + Google Scholar papers, with citation counts in one query.
Add MCP servers to your favorite coding agents with a single command.
Help agents automatically write and test stories for your UI components
Model Context Protocol server for AI-Archive platform - enables AI agents to discover, submit, and review research papers
MCP server for Semantic Scholar research workflows with stdio and Streamable HTTP transports.