Puter MCP
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
Omitly's local, verifiable PDF redaction for AI agents — your documents never leave your device.
选择你使用的 AI 应用,然后复制设置。
通过 2/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
{
"mcpServers": {
"omitly": {
"command": "npx",
"args": [
"-y",
"omitly-mcp"
]
}
}
}菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Omitly MCP
Omitly MCP 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
可连接 Claude Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --scope user omitly -- npx -y omitly-mcp应能看到 Omitly MCP 在列表中并显示已连接
用 Omitly MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Omitly MCP,或回答中出现 Omitly MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
用 Omitly MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Omitly MCP,或回答中出现 Omitly MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
用 Omitly MCP 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Omitly MCP,或回答中出现 Omitly MCP 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
claude mcp add --scope user omitly -- npx -y omitly-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"omitly": {
"command": "npx",
"args": [
"-y",
"omitly-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"omitly": {
"command": "npx",
"args": [
"-y",
"omitly-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"omitly": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"omitly-mcp"
]
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月13日
注册名称已通过 GitHub 账户 omitly 验证,该账户拥有此仓库
代码最后更新于前天
GitHub 无法识别许可证类型;请打开文件自行查看
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于前天,最新版本(5.5.0)于前天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Puter MCP, XcodeBuildMCP, XcodeBuildMCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
A Model Context Protocol server that exposes Omitly's local, verifiable PDF redaction to AI agents (Claude Code, Claude Desktop, and any other MCP client).
Repository scope and licence — please read before opening a PR.
This repository is source-available, not open source. See
LICENSE:
the code is published so you can read exactly what runs on your machine before
you let it touch a confidential document. It is not licensed for reuse in other
projects.
It contains the MCP server and the compiled wasm detection bundle. The Omitly
redaction engine, the tamper-evidence seal and the licensing implementation are
not in this repository and are developed privately; this code calls the
engine, it does not contain it.
Development happens in a private repository and is mirrored here on release, so
pull requests cannot be merged. Issues and security reports are very welcome
— see
SECURITY.md.
The point of difference: an agent can redact a document without uploading it anywhere. Redaction runs on-device through the Omitly engine and returns a signed audit log recording what was removed; the seal shows the delivered file is unchanged since it was sealed. It does not show that nothing else sensitive remains in the document — the opposite of pasting a confidential file into a chat model.
Five of the eleven tools (`find_sensitive_regions`, `locate_text`, `check_redaction`, `verify_redaction`, `extract_pdf_text`) work out of the box — `npm install`, no Rust toolchain, no native binary, no desktop app. They run on a wasm-bindgen build of the same detector that powers the web leak-checker at omitly.app, bundled directly in this package. create_pdf, the two write tools (redact_pdf, redact_by_entity), and the two seal-verification tools (verify_seal, verify_document) still need a configured native engine — see "Native engine" below. Neither seal tool has a wasm fallback yet: there is no wasm seal-verification path (tracked in issue #113), so both always require the native engine, even though checking a seal needs no licence.
Add the server to your MCP client with npx — nothing to clone, build or compile. Published releases ship the wasm detector bundled, so a registry install never needs Rust.
Claude Code:
claude mcp add omitly --env OMITLY_ALLOWED_DIR=/path/agents/may/touch -- npx -y omitly-mcp
Claude Desktop (claude_desktop_config.json), Cursor (~/.cursor/mcp.json) and Windsurf (~/.codeium/windsurf/mcp_config.json) take the same entry:
{
"mcpServers": { "omitly": { "command": "npx", "args": ["-y", "omitly-mcp"], "env": { "OMITLY_ALLOWED_DIR": "/path/agents/may/touch" } } } }
Set OMITLY_ALLOWED_DIR to the folder holding the documents you want checked; without it the server uses the directory it was launched from (see "Access control"). Claude Desktop users can instead install the one-click .mcpb bundle (see "One-click install for Claude Desktop" below).
Five tools work out of the box. find_sensitive_regions and check_redaction are free but EVALUATION-marked and limited to 10 attempts a month, shared across the two, without a native engine (OMITLY_FREE_CAP changes the number); locate_text, verify_redaction and extract_pdf_text are free with no cap. Redaction (redact_pdf, redact_by_entity), create_pdf and seal verification need the native engine, which is not currently distributed outside the source repo (omitly#1405).
The package ships a Claude skill at skill/SKILL.md: plain instructions that tell Claude when to reach for these tools and how to report results — masked values only, and what the free check does and does not prove.
Install it for Claude Code (user scope):
mkdir -p ~/.claude/skills/omitly-redaction
curl -fsSL https://raw.githubusercontent.com/omitly/omitly-mcp/main/skill/SKILL.md \ -o ~/.claude/skills/omitly-redaction/SKILL.md
A project can instead keep the skill under .claude/skills/omitly-redaction/. The skill is instructions only; limits and the free cap are enforced by the server, not by the skill.
| Tool | What it does |
|---|---|
find_sensitive_regions | Scans a PDF on-device and returns PII candidates — email/SSN/phone/card plus Australian identifiers (TFN, ABN, ACN, Medicare, Centrelink CRN, IHI, BSB; check-digit validated where a published algorithm exists) — with page + exact coordinates, so the agent selects by entity and never guesses geometry. Best-effort pattern matching, not a compliance assessment. Optional regions (generic/us/au) narrows the listed kinds. Free tier (wasm) is EVALUATION-marked and counts toward the shared 10-attempts-a-month cap (see "Licensing"); a configured native engine is not capped. |
locate_text | Resolves literal strings the model supplies (names, addresses — anything regex can't catch) to their page + coordinates. The model does the recognition; the engine does the geometry. |
check_redaction | Audits an ALREADY-redacted PDF and reports whether sensitive text still survives underneath the redaction marks, in prior incremental-update revisions, metadata, AcroForm fields, or attachments — the "did my black boxes actually remove the data?" check, with a coverage report scoping what was inspected. It also returns verdict — safe_to_send, needs_review (with blocking for a problem found) or cannot_verify — from the same presented-document check the desktop app's "Check any PDF" runs (native omitly-redact check or the bundled wasm check, one Rust function), with the fixed-copy result sections (what was checked, problems, review, what could not be checked). The full audit v2 report behind the verdict is not returned by this tool; it is available from the engine's check command. A verdict is about the check and what it covered (hidden, covered and recoverable content), never a statement that the document is safe. Free tier (wasm) is EVALUATION-marked and counts toward the shared 10-attempts-a-month cap (see "Licensing"); a configured native engine is not capped. |
extract_pdf_text | Extracts a PDF's full text, page by page, PII-MASKED BY DEFAULT so raw sensitive values never flood the model's context window. Each page's spans report the CHAR offset (not byte offset) and kind of every masked value, so an agent can still reason about position without seeing the raw value. masked: false is a documented, explicit opt-in to raw text. Free, no licence, works out of the box on the bundled wasm engine — a native engine is preferred when available (also enables the regions filter; wasm ignores it and scans every pattern). Never renders pages to images. |
redact_by_entity | One-shot: find + filter by kind (email/ssn/phone/card/tfn/abn/acn/medicare/crn/ihi/bsb) and/or regions + redact + verify. The "just scrub the obvious PII" shortcut. |
redact_pdf | Removes the underlying data from given regions of a PDF, verifies nothing survives, writes the redacted file, and returns the audit log. |
verify_redaction | Re-scans an already-redacted PDF and returns the verification verdict — the redaction-completeness check. |
verify_seal | Cryptographically checks a PDF's embedded Omitly audit report and whole-file tamper-evidence seal (seal v1: Ed25519; seal v2, from Omitly 4.0: ML-DSA-87 with ECDSA P-384) — the tamper-evidence check, distinct from verify_redaction. Integrity, not identity: the signing key rides inside the file (per-install from the desktop app, or one-time for a single output from the engine), so a valid seal means "unchanged since sealed by the holder of this key", never "produced by Omitly" — compare sealFingerprint out-of-band for origin. Requires a native engine; no wasm fallback exists. |
verify_document | Recipient trust-verification (omitly#113): the same seal/report check as verify_seal — not a survivor re-scan — aimed at someone who *received* a PDF from someone else and wants to confirm the file is unchanged since it was sealed (integrity, not identity — see verify_seal), without paying or licensing anything. Free, no licence. Currently requires a native engine like verify_seal (no wasm seal-verification path yet). |
create_pdf | Generates a clean PDF from Markdown/HTML on-device, rendered through a real browser engine so it looks printed — instead of writing a throwaway reportlab/LaTeX script. |
check_license | Reports the current licence or trial state — tier, trial days left, the vendor-signed licensee name, which resolution step supplied the licence, and whether it is bound to this machine. Free, takes no arguments, reads no document, and is re-resolved on every call so buy → save licence → call again works without a restart. Never returns the device fingerprint or the licence file's contents — device binding is a yes/no. Requires a native engine: the wasm free tier has no licence concept. |
propose_redactions | omitly#1643, bring your own AI: proposes regions for a PERSON to accept in the Omitly desktop app. Writes nothing. Requires the desktop app to be running on this computer; on acceptance the desktop removes, verifies and seals, and the record shows a person decided (human-desktop). |
get_proposal_status | Follows a queued proposal: pending, accepted, rejected, applied (with output path and verdict), failed or expired. Free; reads no document. |
While the Omitly desktop app is running on the same computer with Settings → Connect your AI → "Accept proposals in Omitly" on (the default), redact_pdf and redact_by_entity do not run: they return { status: "queued", proposalId } and the redaction becomes a proposal a person accepts or rejects in the app. On acceptance the desktop runs its own verified-removal engine, the survivor scan and the seal, and the sealed record says a person decided (human-desktop); this path needs no native engine on the agent's side. propose_redactions is the explicit form of the same thing; get_proposal_status follows the outcome; the person picks the output path in Omitly's own save dialog (outputPath is kept as the client's suggestion). Needs an omitly-mcp release that knows the channel — an older server writes directly. With no desktop running (or the toggle off), the write tools behave exactly as before and the record says mcp-agent (not human-reviewed). The two sides talk through files under the state directory (OMITLY_STATE_DIR, else ~/.omitly: desktop.json, proposals/, clients/) — no socket, no network. The PDF and the engine stay on this computer; text a client asks for (for example extract_pdf_text) goes to wherever that client's model runs.
create_pdf)create_pdf is served by a separate binary, omitly-pdf, kept apart from the redaction engine because generation is a different trust model from verifiable redaction. It renders Markdown (or raw HTML) through a headless Chromium-family browser (Chrome/Chromium/Edge/Brave; override with OMITLY_BROWSER_BIN) — the same engine family the Omitly app's webview uses, so output looks printed rather than script-generated. It needs the native omitly-pdf binary, which is not currently distributed (omitly#1405) and whose source is not in this repository; point OMITLY_PDF_BIN at a copy to enable this tool.
// stdin
{ "command": "create", "outputPath": "/abs/out.pdf", "source": "# Hello\n\nBody markdown", "format": "markdown", "title": "Hello" } // stdout { "ok": true, "output": "/abs/out.pdf" }
Typical agent flows:
find_sensitive_regions / locate_text → review → redact_pdf → verify_redaction*