R
radres/call-me
Hosted MCP server that rings the user's iPhone so an agent can ask aloud and get the spoken answer
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
远端端点(Claude Desktop / Cursor / Windsurf 共用 mcpServers)
{
"mcpServers": {
"radres-call-me": {
"url": "https://callmemcp.com/mcp"
}
}
}把这段粘进 Claude Desktop / Cursor 的 mcpServers 配置即可。端点来自公开证据,我们没有替你安装或托管它。 官方 Registry 记录:这个端点没有列出任何请求头。这不等于免密 —— 以项目文档为准。
VS Code(.vscode/mcp.json —— 键名是 servers,远程要 type: http)
{
"servers": {
"radres-call-me": {
"type": "http",
"url": "https://callmemcp.com/mcp"
}
}
}VS Code 的配置文件和另外三家不同:顶层键是 <code>servers</code>,远程端点还要写 <code>"type": "http"</code>。复制到 .vscode/mcp.json。
Claude Code(命令行)
claude mcp add --transport http radres-call-me https://callmemcp.com/mcp
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-10-25 · 最近见到 2026-11-14 · 共见到 24 次 · 被 21 个来源列出
- 评分构成
- 综合分 2,103 · 21 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-25;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# callme — your AI can call you
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Your AI agents ring your actual iPhone, read you a question, an update or
your day ahead, and get your spoken reply back as text — or just text you. Works from any AI that
speaks MCP; nothing to install.
Call Me is not a voice assistant: your agent does all the thinking. Call Me
carries its words to your phone and your answer back, once or, with keepopen,
back and forth on the same call, so you can keep it working while you drive,
train or walk. Calls speak and understand 90+ languages.
## 1. Get the app
callme on the App Store.
No registration, no email. Open it, tap Agree & Continue, and it shows your
personal callme number: 10 digits, and all an agent needs to reach you.
## 2. Connect your AI (MCP)
Pairing is stored locally in ~/.aiphone/config.json. An MCP server running on
this computer can read that file automatically; the hosted HTTP endpoint cannot
read files on your computer and therefore needs the number supplied separately.
One server, every MCP client — no API key, no OAuth:
https://callmemcp.com/mcp
Claude Code
bash
claude mcp add --transport http call-me https://callmemcp.com/mcp
opencode — add to opencode.json (or ~/.config/opencode/opencode.json):
json
"mcp": {
"call-me": {
"type": "remote",
"url": "https://callmemcp.com/mcp",
"enabled": true
Codex CLI — use the local paired MCP server
bash
cd /absolute/path/to/call-me
codex mcp remove call-me # only if the hosted entry is already configured
codex mcp add callme -- node "$PWD/codex/mcp.mjs"
codex mcp list
The local callme MCP server reads ~/.aiphone/config.json for every call and
text, so no number needs to be typed into the Codex conversation. Use its
identity tool to verify the paired phone.
Gemini CLI
bash
gemini extensions install https://github.com/radres/call-me
or, for the MCP server alone:
bash
gemini mcp add --transport http call-me https://callmemcp.com/mcp
Grok
In the Grok app: grok.com/connectors → New
Connector → Custom → https://callmemcp.com/mcp. In Grok Build:
bash
grok plugin install radres/call-me#grok
Cline — add to Cline's MCP settings (MCP Servers → Configure; CLI:
~/.cline/data/settings/clinemcpsettings.json). Full agent-readable steps are
in llms-install.md.
json
"mcpServers": {
"call-me": {
"type": "streamableHttp",
"url": "https://callmemcp.com/mcp",
"timeout": 120
Cursor — add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
json
"mcpServers": {
"call-me": { "url": "https://callmemcp.com/mcp" }
Or install the plugin in plugin/, which adds a skill telling the
agent when to call and when to text. It is a standard
Agent Plugin with a Cursor manifest, so any client
that loads Agent Plugins can use it too.
ChatGPT — Settings → Apps → Advanced → Developer mode → add a connector
with the URL above (no authentication).
claude.ai — Settings → Connectors → Add custom connector → the URL above.
Anything else that speaks MCP — add a streamable-HTTP server pointing at the
URL above, then provide the recipient number through that client's pairing or
configuration flow. A hosted MCP connection cannot see this computer's
~/.aiphone/config.json.
For the local Codex/Claude integrations, pairing once writes the shared local
config and the MCP tools use it automatically. For hosted clients, tell the AI
your day ahead, and get your spoken reply back as text — or just text you. Works from any AI that
speaks MCP; nothing to install.
Call Me is not a voice assistant: your agent does all the thinking. Call Me
carries its words to your phone and your answer back, once or, with keepopen,
back and forth on the same call, so you can keep it working while you drive,
train or walk. Calls speak and understand 90+ languages.
## 1. Get the app
callme on the App Store.
No registration, no email. Open it, tap Agree & Continue, and it shows your
personal callme number: 10 digits, and all an agent needs to reach you.
## 2. Connect your AI (MCP)
Pairing is stored locally in ~/.aiphone/config.json. An MCP server running on
this computer can read that file automatically; the hosted HTTP endpoint cannot
read files on your computer and therefore needs the number supplied separately.
One server, every MCP client — no API key, no OAuth:
https://callmemcp.com/mcp
Claude Code
bash
claude mcp add --transport http call-me https://callmemcp.com/mcp
opencode — add to opencode.json (or ~/.config/opencode/opencode.json):
json
"mcp": {
"call-me": {
"type": "remote",
"url": "https://callmemcp.com/mcp",
"enabled": true
Codex CLI — use the local paired MCP server
bash
cd /absolute/path/to/call-me
codex mcp remove call-me # only if the hosted entry is already configured
codex mcp add callme -- node "$PWD/codex/mcp.mjs"
codex mcp list
The local callme MCP server reads ~/.aiphone/config.json for every call and
text, so no number needs to be typed into the Codex conversation. Use its
identity tool to verify the paired phone.
Gemini CLI
bash
gemini extensions install https://github.com/radres/call-me
or, for the MCP server alone:
bash
gemini mcp add --transport http call-me https://callmemcp.com/mcp
Grok
In the Grok app: grok.com/connectors → New
Connector → Custom → https://callmemcp.com/mcp. In Grok Build:
bash
grok plugin install radres/call-me#grok
Cline — add to Cline's MCP settings (MCP Servers → Configure; CLI:
~/.cline/data/settings/clinemcpsettings.json). Full agent-readable steps are
in llms-install.md.
json
"mcpServers": {
"call-me": {
"type": "streamableHttp",
"url": "https://callmemcp.com/mcp",
"timeout": 120
Cursor — add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
json
"mcpServers": {
"call-me": { "url": "https://callmemcp.com/mcp" }
Or install the plugin in plugin/, which adds a skill telling the
agent when to call and when to text. It is a standard
Agent Plugin with a Cursor manifest, so any client
that loads Agent Plugins can use it too.
ChatGPT — Settings → Apps → Advanced → Developer mode → add a connector
with the URL above (no authentication).
claude.ai — Settings → Connectors → Add custom connector → the URL above.
Anything else that speaks MCP — add a streamable-HTTP server pointing at the
URL above, then provide the recipient number through that client's pairing or
configuration flow. A hosted MCP connection cannot see this computer's
~/.aiphone/config.json.
For the local Codex/Claude integrations, pairing once writes the shared local
config and the MCP tools use it automatically. For hosted clients, tell the AI
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想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/radres-call-me/)
- 来源
- awesome · https://github.com/radres/call-me
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