PassPaper (Bin-H-17/passpaper) is an MCP server listed on the M8ven Trust Index. It scores 89 out of 100, grade B. It declares 9 tools. The publisher has proved control of what we score (Verified Publisher). It is connected through the M8ven GitHub App, so the listing is re-checked on every push.

Back to MCP Trust IndexM8ven
B
Emerging
89/100
5 days ago

PassPaper

Enables AI agents like Claude Code and Codex to read handwriting and sketches drawn on a tablet in real time via MCP, with local recognition to text/LaTeX, session recording, and export to Markdown/Excalidraw.

→ Bin-H-17/passpaper· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored

Monitored 25 days · every push re-verified

Who stands behind it

163.com (@Bin-H-17) · Verified Publisher

Source: Glama

Maintenance & responsiveness
as of 2026-08-20
Issues closed (90d): 0 · 5 open
Releases (90d): none
Active contributors (6mo): 1

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// 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: PASSPAPER_RECOGNIZER_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
Are you the publisher? Confirm or correct these findings.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configPASSPAPER_FG
configPASSPAPER_HOME环境变量： 可改数据目录（测试/便携安装用）
configPASSPAPER_RECOGNIZER_ENDPOINT1. 中文潦草 / 公式手写识别（本地、隐私） — 配置本地 VLM（，如 ollama / llama.cpp / vLLM 的 OpenAI 兼容端点）后，图片在交给 Agent 前会先转成结构化文本 / LaTeX。未配置时回退到「Agent 直接看图」。详见 [docs/RECOGNITION.md](docs/RECOGNITION.md)。
configPASSPAPER_RECOGNIZER_MODEL
🔐 secretPASSPAPER_RECOGNIZER_KEY
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

9/9 tools missing one or more hints — get_handwriting (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); clear_canvas (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_handwriting_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool test coverage

6/9 tools referenced in tests (67%)

Write tests that reference each tool by name so every tool has at least one test.

// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/bin-h-17/passpaper)](https://m8ven.ai/mcp/bin-h-17/passpaper)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 6d8774f7a6037eadd12d64f240533cdda5a11642
code hash: 238909f5f2925a377c8a357e76e8a6251677be15ab6ebdf09ab0a8c822c84e92
verified: 9/4/2026, 8:17:21 PM
view raw JSON →
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