Seldonframe MCP

Name: Seldonframe MCP
Author: seldonframe

作者：seldonframe版本 1.59.2i★ –i电脑或云端

注册名称io.github.seldonframe/mcp

安装

概览

作者提供的说明（英文原文）

Build, deploy, and sell AI agents for local-service businesses - from your IDE.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

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。

连接方式: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 开发者工具

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://mcp.seldonframe.com/v1

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "seldonframe": {
      "command": "npx",
      "args": [
        "-y",
        "@seldonframe/mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http seldonframe https://mcp.seldonframe.com/v1

或者在你的电脑上运行

claude mcp add seldonframe -- npx -y @seldonframe/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "seldonframe": {
      "url": "https://mcp.seldonframe.com/v1"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "seldonframe": {
      "command": "npx",
      "args": [
        "-y",
        "@seldonframe/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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "seldonframe": {
      "type": "http",
      "url": "https://mcp.seldonframe.com/v1"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "seldonframe": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@seldonframe/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。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://mcp.seldonframe.com/v1

菜单名称可能因套餐和版本不同而略有差异。

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。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

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6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 seldonframe 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“开发者工具”中的其他服务器比较i

星标数多于此分类中其他 1386 个服务器的 0%
发布到注册中心的时间比此分类中其他 1386 个服务器的 30% 更新
基础检查结果等于或优于此分类中其他 1386 个服务器的 100%

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。

常见问题

Seldonframe MCP 安全吗？

它在 1 项适用的基础检查中通过了 1 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。

它需要哪些密钥或代码？

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。

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.59.2）于4个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ 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

GitHub

作者：github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新

安装

Desktop Commander

作者：wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT15天前更新

安装

Cloudflare MCP

作者：cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新

安装

作者的 README

打开 README

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。

SeldonFrame

Sell AI front offices. Deploy them in minutes.

SeldonFrame is the agent-native, open-source alternative to GoHighLevel for agencies serving local businesses. Give your coding agent a client's URL and it can create a branded website, booking flow, intake, CRM, and AI agent in one workspace. Run evals, publish, and hand it off — then operate every client from one agency view.

Website · For agencies · For builders · Docs · Discord

Live demos: HVAC · Med spa · Med spa · Weight loss

Ship your first client front office

claude mcp add seldonframe -- npx -y @seldonframe/mcp

Or as an auto-updating Claude Code plugin:

/plugin marketplace add seldonframe/seldonframe

/plugin install seldonframe@seldonframe

Build a branded AI front office for my HVAC client in New Orleans.

✓ Workspace ready at acme-hvac.app.seldonframe.com

Build the first client workspace before paying. Hosted Managed uses SeldonFrame's keys; Builder and Agency plans are BYOK. Your agency owns the client relationship, workspace data, and delivery margin.

See a real one — a live workspace, not a mockup:

The generated site — quote intake, reviews, and the chat agent (bottom right) Its booking page — the real calendar the agent books against

And here's the agent on that site handling a real inbound — checking the live calendar, and, when asked for a price, *refusing to invent one* (that's the quote-guard, not a scripted reply):

A genuine exchange with the chatbot on the live site — nothing scripted:

It reads the real calendar. "Today's fully booked — here are tomorrow's 9/10/11 AM slots." It won't lie about price. Asked what a visit costs, it says "I don't have exact rates on hand, but I'll have a technician confirm the cost before any work starts" — the quote-guard in action, not a canned line. It qualifies to book. Asks for the service address to confirm you're in-area, then locks the slot.

Same agent answers on SMS and voice too — the channel is just a config knob.

Click any screenshot — this HVAC workspace is live and books real appointments. More live workspaces: Metro MedSpa · SKINNEY Medspa · Vive Ageless Weight Loss — and more on seldonframe.com.

The agency delivery loop

Start with the client URL. SeldonFrame extracts the business facts and creates the workspace.
Apply your agency playbook. Brand the site, booking flow, intake, CRM, and agent.
Verify before handoff. Run evals and complete a real test booking.
Publish and operate. Give the client a branded portal while your agency keeps the master view.

The same loop works from the dashboard, Claude Code, Cursor, Windsurf, or any MCP-compatible agent. See the agency workflow.

What an agent is made of here

Most "agent frameworks" hand you a chat loop and wish you luck. SeldonFrame gives your IDE agent the full production anatomy:

The agent model — Trigger × Skill × Channel

An agent isn't a chatbot UI; it's three independent axes:

Trigger — *when it runs*: inbound (a call / chat / email / SMS arrives) · event (a domain event fires — booking.completed, lead.created, invoice.paid…) · schedule (a cron cadence).
Skill — *what it does*: receptionist · review-requester · speed-to-lead · win-back · digest…
Channel — *how it speaks*: voice · web chat · SMS · email · internal digest.
Tools — *what it can touch*: native tools (book against the real calendar · read/write the CRM · send SMS & email · take a message) plus 1,000+ app integrations via Composio (Google Calendar, Sheets, Slack, HubSpot, Notion, …), bound per-agent.

surface: voice | chat (the old receptionist-only knob) is just one point in this space — trigger=inbound. One builder creates any agent; the marketplace sells any agent.

From agent to production loop

A production agent is a loop, not a single prompt:

Trigger → (Model + Tools + State) → Verify → Iterate, bounded by a Stop condition, improved by Evals, kept honest by Observability + Guardrails.

Two non-negotiables drive the roadmap: the checker must be separate from the maker (a model grading its own work is too generous a grader), and the loop must have brakes (or it bills you in silence). Where each primitive stands today:

Primitive	Status	What's there
Trigger	✅ Shipped	Inbound + event triggers on the `SeldonEvent` bus. `booking.completed` → review-requester; `lead.created` → speed-to-lead, both sending outbound SMS/email.
State	✅ Shipped	Agent loop-memory in Brain v2 — agents recall what they did before acting and record after. The review "ask once per customer" throttle is now a memory recall, not a bespoke flag.
Verify (maker ≠ checker)	✅ Shipped	Deterministic validators grade every run — pass rates surface on each agent's health card and `/runs`; `run_agent_evals` replays scripted scenarios. Rolling out: the same checker as a hard pre-send gate + an LLM judge for judgment calls.
Guardrails / Stop	✅ Shipped	Quote-guard (never invent prices), enforced read-back before booking, per-contact throttles, booking-policy enforcement (hours · duration · required fields), hard call/iteration caps. Rolling out: generic token-budget brakes for long-looping agents.
Generate-by-default	✅ Shipped	One English sentence → trigger + skill + channel + tool bindings + guardrails, generated together. "text every customer for a Google review the day after their job — never twice, only if completed" compiles into a real agent. The `generate_agent` MCP tool and the Studio wizard both run this pipeline.
Record → Agent	🗺 Roadmap	Skip describing it — screen-share your workflow once. SeldonFrame watches, compiles the steps into a draft agent (skill + tool bindings + eval scenarios derived from the recording), and you deploy in minutes. Live behind a flag at `/record`; becoming the default on-ramp next.

The loop, drawn

One sentence builds it; triggers drive it; the ring is the loop *running* — Model → Tools → State → Verify — with tools orbiting the core, /runs + Brain observing, and the Stop brakes bounding every pass. Everything in the diagram is shipped today. *(Animated SVG — if your viewer freezes it, the still frame reads the same.)*

Deeper — the pre-wired stack, the architectural bet, the roadmap: [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md).

Five agents you can ship today

Trigger × Skill × Channel are independent axes — pick one of each and you've architected an agent:

Agent	Trigger	Skill	Channel	The interesting part
AI receptionist	inbound call	qualify + book	voice	Books against the real calendar. Quote-guard, enforced read-back, `take_message` escalation to the owner.
Website chatbot	inbound chat	the same receptionist skill	web embed	Same blueprint, different channel — channels are swappable.
Speed-to-lead	`lead.created` event	first-touch + qualify	SMS	Fires seconds after a form submit, straight off the event bus.
Review requester	`booking.completed` event	review ask	SMS / email	Brain recall enforces "never ask the same customer twice."
Anything you describe	any	one English sentence	any	The Studio wizard adapts its questions to the primitives your agent needs.

The Brain — memory that compounds

Agents that forget are demos. Every SeldonFrame workspace owns a Brain:

The Soul — the single source of truth an agent grounds on (identity, services, hours, pricing). Install someone else's agent and it re-grounds on *your* Soul, never their facts.
Loop memory — agents recall before acting and record after. "Did I already ask this customer for a review?" is a memory recall, not a bespoke flag.
Notes → distilled rules — raw observations get compiled and promoted into durable knowledge on a schedule, so every run starts smarter than the last one ended.

Money rails, built in

Agents that do real work end up touching real money — so the rails are platform primitives, not an integration project:

A prepaid wallet ledger — UNIQUE idempotency keys and guarded never-negative decrements: a charge can't double-fire, a balance can't go below zero.
Stripe Connect payouts — seldonframe payout moves accrued earnings to a bank account.
Checkout that fulfills — a marketplace sale auto-provisions the deployment and re-grounds it on the buyer's business.
Per-use rental billing — every agent exposes a signed MCP endpoint; other LLMs can rent it and the ledger meters each use.
Real phone numbers — provision a number per agent (bring your own Twilio today; SF-managed metered numbers are rolling out).

Fee fine print: SeldonFrame takes a 5% GMV fee only when the marketpla

只显示了开头部分；其余内容请在仓库中阅读

Seldonframe MCP

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“开发者工具”中的其他服务器比较i

常见问题

替代选择

GitHub

Desktop Commander

Cloudflare MCP

作者的 README

SeldonFrame

Ship your first client front office

The agency delivery loop

What an agent is made of here

The agent model — Trigger × Skill × Channel

From agent to production *loop*

The loop, drawn

Five agents you can ship today

The Brain — memory that compounds

Money rails, built in

From agent to production loop