Vexa
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
作者提供的说明(英文原文)
Pipes Claude Code session output into Claude Chat — no more copy-paste between 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": {
"claude-bridge": {
"command": "npx",
"args": [
"-y",
"@rahulonramp2807/claude-bridge-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add claude-bridge -- npx -y @rahulonramp2807/claude-bridge-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"claude-bridge": {
"command": "npx",
"args": [
"-y",
"@rahulonramp2807/claude-bridge-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": {
"claude-bridge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@rahulonramp2807/claude-bridge-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。
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6日
注册名称已通过 GitHub 账户 rahuljava2807 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
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
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 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。
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–,最新版本(2.2.0)于7个月前进入注册中心。
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:Vexa, emailmd, MCP WhatsApp Cloud
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
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
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。
MCP server that pipes Claude Code session output directly into Claude Chat — no more copy-paste between tools.
claude-code-bridge-mcp is a Model Context Protocol (MCP) server that reads Claude Code's local session logs from ~/.claude/projects/ / and exposes them as tools to any MCP-compatible client (Claude Desktop, Claude Chat, Cursor, etc.). Run Claude Code in your terminal and pull its latest output into Claude Chat with a single tool call.
~/.claude/bridge-context.md and ~/Documents/claude-bridge-context.md as clean markdown.claude-bridge-context via the Drive API — no Drive desktop client required.~/.claude/bridge-inbox/ .txt. Closes the read-only gap: Projects Claude → inbox → Claude Code acts on it.send_to_session (cooperative dispatch)v1 read sessions. v2 wrote context out to Drive. v2.2 lets the other side push prompts back in.
send_to_session overwrites ~/.claude/bridge-inbox/ .txt with the latest prompt and writes a human-readable receipt to ~/.claude/bridge-inbox/latest.md. The target Claude Code session picks it up via a one-time setup instruction that send_to_session returns in its response — paste that once into your Claude Code terminal (or add it to your project's CLAUDE.md) and every subsequent prompt arrives automatically.
Why cooperative instead of direct injection: Claude Code's JSONL is append-only from the CLI's perspective — it doesn't re-read the file mid-session. A real dispatch channel exists (POST /v1/sessions/{id} via Anthropic's relay, the same channel /remote-control uses) but is undocumented and requires reading the CLI's OAuth token from the macOS Keychain. Shipping against an undocumented internal API would break on every Claude Code release and leak credentials from every install — so v2.2 uses the filesystem inbox instead. See GitHub issue for the v3 path.
Example:
// send_to_session → response
{ "session_id": "15ef12ba-851e-4591-bbd4-c23170e15919", "project_path": "/Users/you/Documents/my-app", "written": true, "inbox_path": "/Users/you/.claude/bridge-inbox/15ef12ba-....txt", "receipt_path": "/Users/you/.claude/bridge-inbox/latest.md", "prompt_preview": "refactor the auth middleware to use Fluid Compute", "setup_instruction": "Before each response, check ~/.claude/bridge-inbox/15ef12ba-....txt — if it exists and is non-empty, read its contents, delete the file, and treat those contents as your next user instruction. You only need to be told this once per session.", "remote_control_url": "https://claude.ai/code/session_..." }
dry_run: true returns the same shape without touching the filesystem.
Claude Projects can't talk to an MCP server directly, but it *can* read files from a connected Google Drive. v2 closes that loop:
Claude Code → claude-bridge-mcp.write_context → ~/Documents/claude-bridge-context.md
→ Google Drive sync → Projects Claude reads via Drive connector
No more copy-paste, and it works inside Projects too.
Workflow:
~/Documents (or any subfolder holding claude-bridge-context.md) part of your Google Drive sync.start_auto_sync once — it returns immediately and keeps the markdown fresh in the background.claude-bridge-context.md. Ask Projects Claude what Claude Code is up to — it reads the live file.v2 relied on the Google Drive desktop client to sync ~/Documents/claude-bridge-context.md up to Drive. v2.1 removes that dependency: the MCP server now talks to the Drive API itself and upserts a Google Doc named claude-bridge-context every sync tick.
Setup (one time):
~/.claude/bridge-google-credentials.json.GOOGLE_DRIVE_ENABLED=true in its environment. In Claude Desktop's claude_desktop_config.json: {
"mcpServers": { "claude-bridge": { "command": "node", "args": ["/absolute/path/to/claude-code-bridge-mcp/dist/index.js"], "env": { "GOOGLE_DRIVE_ENABLED": "true" } } } }
3. Call the `setup_drive_sync` tool from any connected client. It opens a browser tab for Google consent, saves the refresh token to `~/.claude/bridge-google-token.json`, and performs an initial upload. The response includes the Doc URL.
start_auto_sync. From now on, every tick writes the local markdown and pushes the same content to the Google Doc. The refresh token is reused silently on future server restarts.What the user sees:
claude-bridge-context, live-updated every 30s with the most recent Claude Code session output.Opting out: Omit GOOGLE_DRIVE_ENABLED (or set it to anything other than true) and the server behaves exactly like v2 — local markdown only, no Drive calls.
git clone https://github.com/rahuljava2807/claude-code-bridge-mcp.git
cd claude-code-bridge-mcp npm install npm run build
Edit claude_desktop_config.json:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": { "claude-bridge": { "command": "node", "args": ["/absolute/path/to/claude-code-bridge-mcp/dist/index.js"] } } }
Restart Claude Desktop. The claude-bridge tools will appear in the tool picker.
Typical workflow:
claude in a terminal to start a Claude Code session and do some work."Use
list_sessionsto find my most recent Claude Code session, then callget_latest_outputon it and summarize what Claude Code just did."
watch_session repeatedly — each call returns only new messages since the last call.// get_latest_output with no arguments → uses the most recently updated session
{ "content": "I've refactored the auth middleware to use Fluid Compute...", "timestamp": "2026-04-16T15:32:11.441Z", "session_id": "01HZ...", "project_path": "/Users/you/code/my-app" }
Sessions are stored as JSONL at:
~/.claude/projects/<project-hash>/<session-id>.jsonl
~/.claude/projects/ /sessions/ .jsonl
Each line is one JSON event with fields like type, role, content, and timestamp. The parser tolerates variations in shape and extracts assistant text from both string and content-block payloads.
npm run dev # tsc --watch
npm run build # compile to dist/ npm start # run the compiled server over stdio
MIT — see LICENSE.