Puter MCP
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
作者提供的说明(英文原文)
Deterministic rule-engine decisions with document-grounded explanations, rules and usage tools.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"ruleverdict": {
"command": "npx",
"args": [
"-y",
"@reneturcios/ruleverdict",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add ruleverdict -- npx -y @reneturcios/ruleverdict mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ruleverdict": {
"command": "npx",
"args": [
"-y",
"@reneturcios/ruleverdict",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"ruleverdict": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/ruleverdict",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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11日
注册名称已通过 GitHub 账户 CloudCorpRecords 验证,该账户拥有此仓库
代码最后更新于7天前
我们还没有从 GitHub 读取这个仓库
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 2 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7天前,最新版本(0.1.0)于7天前进入注册中心。
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。
Ask a rule engine, not a guess. ruleverdict is a small client for the ai-rete-rag service, which decides cases with deterministic rules instead of free-form model output: you pass structured facts and/or free text for a domain, and the verdict comes from that domain's rule set, explained with the documents the rules rest on.
Alongside deciding, it covers the full life of a domain: see which facts the rules need, inspect the rules themselves, pull them down as editable YAML, draft new rules from a written policy (each draft cites the sentence it encodes, and nothing is saved until you say so), publish a replacement rule set, feed policy text into the knowledge base, and watch the monthly decision quota. Responses come back exactly as the service returned them: nothing is trimmed, renamed or summarised on the way through.
Two environment variables control the client:
AI_RETE_RAG_API_KEY (optional) — when set, it is sent on every request as Authorization: Bearer . Leaving it unset is not an error: shared demo domains work keyless, and enforcement problems such as a missing domain claim or an exhausted quota surface from the API as errors rather than failing locally.AI_RETE_RAG_API_URL (optional) — API base URL. Defaults to https://ai-rete-rag.com (see "Endpoint provenance" below).decide — make a decision in a domain from structured facts and/or free text; the verdict comes from the rule engine, with a document-grounded explanation. Optional: as_of (a date the decision is evaluated at), fact_sources (where each fact came from), and the retrieval-mode flags pattern_01 (Pattern 01: rules-scope retrieval) and pattern_02 (Pattern 02: retrieval into working memory). Typical call: decide(domain="loan", facts={...}).get_parameters — the facts a domain's rules decide on, most decisive first: what to collect before calling decide.list_rules — inspect a domain's rules: conditions, verdicts, salience and overlaps.get_rule_source — fetch a domain's rule set as editable YAML.import_policy_rules — turn a written policy document into draft rules, each citing the sentence it encodes. Nothing is saved.put_rules — create or replace a domain's rule set from YAML; pass dry_run to validate without saving.ingest_text — add policy text to a domain's knowledge base, optionally with effective_from / effective_until dates or a supersedes pointer to the version it replaces.list_documents — browse a domain's ingested documents.get_usage — check your plan and remaining monthly decision quota.Unset optional arguments are omitted from requests entirely. An upstream non-2xx reply fails with ai-rete-rag error: HTTP and an unreachable API with ai-rete-rag unreachable.
The original project's README pins the nine tools, the worked decide example, the Pattern 01 / Pattern 02 modes, both environment variable names, the optional-key behaviour, and the dry-run / nothing-saved workflow semantics — but not the request paths. Those are reconstructions, labelled as such:
POST /api/decide with the arguments as the JSON body (used by decide).GET /api/domains/{domain}/parameters (used by get_parameters).GET /api/domains/{domain}/rules (used by list_rules).GET /api/domains/{domain}/rules/source (used by get_rule_source).POST /api/domains/{domain}/rules/import with body {"text": "..."} (used by import_policy_rules).PUT /api/domains/{domain}/rules with body {"rules": "...", "dry_run": ...} (used by put_rules).POST /api/domains/{domain}/documents with body {"text": "...", ...} (used by ingest_text).GET /api/domains/{domain}/documents (used by list_documents).GET /api/usage (used by get_usage).Domain path segments are URL-encoded.
Each tool is a subcommand taking one JSON argument string:
npx @reneturcios/ruleverdict decide '{"domain":"loan","facts":{"income":85000}}'
npx @reneturcios/ruleverdict get_parameters '{"domain":"loan"}' npx @reneturcios/ruleverdict list_rules '{"domain":"loan"}' npx @reneturcios/ruleverdict get_rule_source '{"domain":"loan"}' npx @reneturcios/ruleverdict import_policy_rules '{"domain":"loan","text":"Loans need verified income."}' npx @reneturcios/ruleverdict put_rules '{"domain":"loan","rules":"rules: []","dry_run":true}' npx @reneturcios/ruleverdict ingest_text '{"domain":"loan","text":"Policy text"}' npx @reneturcios/ruleverdict list_documents '{"domain":"loan"}' npx @reneturcios/ruleverdict get_usage '{}' npx @reneturcios/ruleverdict --version
Output is the tool's result text (the upstream body on success). Exit codes: 0 on success, 1 on a runtime error, 2 on a usage error.
npx -y @reneturcios/ruleverdict mcp
MCP client config (the key is optional; provide it through the client's environment when you have one):
{
"mcpServers": { "ruleverdict": { "command": "npx", "args": ["-y", "@reneturcios/ruleverdict", "mcp"], "env": { "AI_RETE_RAG_API_KEY": " " } } } }
docker run -i ghcr.io/cloudcorprecords/ruleverdict
docker run --rm ghcr.io/cloudcorprecords/ruleverdict get_usage '{}'
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch only, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios