In-depth architectural comparison of the Adeu and Byakugan MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Adeu
Workplace & Productivity · Local stdio
Quality: 60/100 (Good) | Auth: No auth required
Byakugan
Workplace & Productivity · Local stdio
Quality: 56/100 (Good) | Auth: No auth required
Verdict Summary: Choose Adeu if you need specialized Workplace & Productivity tools running via a local process. Choose Byakugan if your workspace requires Workplace & Productivity integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Adeu when:
You need dedicated capabilities in the Workplace & Productivity domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Adeu is categorized under Workplace & Productivity and uses a local stdio subprocess. In contrast, Byakugan belongs to Workplace & Productivity using local stdio subprocess. Select Adeu when you need capabilities focused on workplace & productivity and Byakugan when you require tools for workplace & productivity.
Score how likely a passage reads as AI-written, fully on-device, with a per-signal breakdown and a confidence band. Returns a 0 to 100 likelihood, never a yes/no verdict. The signal is directional and biased against non-native English writers, so treat it as a second opinion and not proof. Get a read here, then call find_ai_tells to locate the spans worth rewriting.
find_ai_tells
Locate the exact character spans that read as AI, covering stock phrasing, long dashes, and formulaic sentence openers. Returns a list of spans with start, end, the matched text, and a note. Use these to rephrase only the flagged parts and leave the rest of the writing intact. Deterministic.
check_reuse
Compare the text against reference documents you provide, using word shingles, and return the share of overlap and the verbatim shared passages. This is a local check against the documents passed in. It does not search the web or any plagiarism database. Deterministic.
check_grammar
Run a rule-based grammar and style check over the text, fully on-device, and return each issue with its character span, a message, the flagged text, and suggested fixes. Use it to tidy grammar and phrasing, before or after rewriting the flagged AI tells. Deterministic.
docx ↔ LLM translator. Projects .docx office files to Markdown for editing. Projects edits back to OOXML as tracked changes (redlines). Python and Node.js implementations.
Private, local AI-text analysis (a detection read, the exact AI-tell spans, a reuse check, and a grammar pass) for the AI you already use.