GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
AI agent monitoring: alerts when your agents fail, stall or need you
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。
Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http lastping https://mcp.lastping.dev/mcp --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"lastping": {
"url": "https://mcp.lastping.dev/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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": {
"lastping": {
"type": "http",
"url": "https://mcp.lastping.dev/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 HTTP header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。
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。
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
注册名称已通过域名 lastping.dev 验证(注册中心会核实域名所有权)
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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.2.2)于24天前进入注册中心。
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。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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。
LastPing alerts you when your AI agents fail, stall, wait for your approval or never start, and watches the cron jobs and CI/CD pipelines around them. Free for individuals.
Most monitoring watches a thing and tells you when it looks wrong. LastPing waits for a thing to check in and tells you when it doesn't. That inversion is the whole product: a job that breaks can't send you an error, but it can fail to send you anything, and absence is the one signal a broken process can still produce.
This repository holds the client pieces: the lastping CLI, which wraps any command and reports its start, exit code and traces, and the MCP server, which lets an AI agent set up and read its own monitoring. The hosted service they talk to is at [lastping.dev](https://lastping.dev), free for individuals.
# 1. Install the CLI (macOS and Linux, amd64 and arm64)
curl -fsSL https://raw.githubusercontent.com/lastping-dev/lastping-app/main/install.sh | sh
lastping run --monitor -- ./backup.sh
# 3. Or give your AI assistant the hosted MCP server, and sign in
https://mcp.lastping.dev/mcp
Create the monitor, and get its id, at app.lastping.dev, or let your assistant do it over MCP. Connect steps for each client are at lastping.dev/mcp/.
curl -fsSL https://raw.githubusercontent.com/lastping-dev/lastping-app/main/install.sh | sh
No Go toolchain needed — that pulls a prebuilt binary for macOS and Linux, on amd64 and arm64, and verifies its checksum. Windows builds are on the releases page.
If you do have Go:
go install github.com/lastping-dev/lastping-app/cmd/lastping@latest
lastping run — reporting you can't forgetPut it in front of whatever you already run:
lastping run --monitor <monitor-id> -- python nightly_etl.py
lastping run --monitor -- ./backup.sh lastping run --monitor -- claude
It sends a start ping, runs your command untouched, and reports the exit code when it finishes — success on 0, failure on anything else, with the tail of stderr attached so the alert says *why*.
Three properties worth knowing, because they are the difference between a monitoring wrapper you can trust in production and one you remove after a bad night:
Why a wrapper rather than an instruction? Because anything advisory decays. An AI agent told to report on every task will stop doing it, and a cron line you meant to add a curl to never gets it. A wrapper reports from the process lifecycle, so nothing depends on anybody remembering.
lastping run always configures your wrapped command's OpenTelemetry exporter, in its environment only, so an auto-instrumented agent can export its own trace spans with no code change:
OTEL_EXPORTER_OTLP_TRACES_ENDPOINT — the header-free monitor-URL form ( /v1/traces) when LASTPING_API_KEY is not set, so a headerless exporter can still authenticate; the ping host's /v1/traces (the Bearer form) when it is set.OTEL_RESOURCE_ATTRIBUTES — lastping.monitor_id= ,lastping.run_id= appended to whatever you already set, so a trace's spans join the same run the surrounding pings report.OTEL_EXPORTER_OTLP_HEADERS — Authorization=Bearer , only when LASTPING_API_KEY is set and you have not already set that variable yourself.Any of the three you already set is left alone. The key is never used to authenticate a ping; the ping URL stays unauthenticated by design, as above.
A one-click install for Claude Desktop on macOS and Windows that keeps your key in the system keychain. It needs no Node.js.
The extension runs this repository's stdio binary (below) on your computer. It is built by mcpb/build.sh when a version is tagged, and every release is signed; the release build fails rather than ship an unsigned bundle. The certificate is self-signed, so Claude Desktop shows the extension as unverified. The signature still proves the bundle came from this repository's release pipeline and was not altered after it was signed. A local build of mcpb/build.sh without the signing secrets is unsigned and says so. MCPB_CERT_CA_ISSUED is kept for a future certificate from a public CA.
Claude Desktop's config file runs local programs only, so LastPing connects through the mcp-remote bridge. Add this to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):
{
"mcpServers": { "lastping": { "command": "/ABSOLUTE/PATH/TO/npx", "args": [ "-y", "mcp-remote", "https://mcp.lastping.dev/mcp", "--header", "Authorization:${LASTPING_AUTH}" ], "env": { "PATH": "/FOLDER/THAT/HOLDS/npx:/usr/bin:/bin", "LASTPING_AUTH": "Bearer lp_your_key" } } } }
which npx in a terminal and put the result in command (with nvm it looks like /Users/you/.nvm/versions/node/v22.11.0/bin/npx), and its folder at the front of PATH in env.https://mcp.lastping.dev/mcp) and sign in to LastPing in the browser. The same connector covers claude.ai, the Claude mobile apps and Cowork.Claude Code connects directly, no bridge: claude mcp add --transport http --scope user lastping https://mcp.lastping.dev/mcp --header "Authorization: Bearer ". Cursor, Windsurf, Codex CLI, Gemini CLI and other clients: lastping.dev/mcp/#connect.
The hosted server is the recommended path, and it always carries the current tool set. Most clients connect by adding the URL and signing in to LastPing, with nothing to install; Cursor and Windsurf use the URL and an API key. With a key, Claude Desktop connects through the extension or the mcp-remote bridge above.
A stdio binary is also here if you would rather run it yourself:
go install github.com/lastping-dev/lastping-app/cmd/lastping-mcp@latest
Tools in this repository's stdio binary (50)
Monitors: create_monitor · get_monitor · list_monitors · update_monitor · delete_monitor · pause_monitor · resume_monitor · snooze_monitor
Discovery: discover_monitors_reconcile
Reporting: get_ping_instructions · declare_run_expectations
Incidents & runs: list_incidents · get_run_history · get_run (one run's full timeline, assertion verdicts and spans) · list_runs (runs across every monitor, traced runs included, with filters) · get_incident (one incident's recorded timeline)
Tracing: get_trace_setup (the set-up steps for one tool, from the server) · create_ingest_key (a tracing key bound to one monitor; a write key is enough) · get_trace_diagnostics (why a sent span was refused)
Agent observability: get_agent_dependencies · get_agent_usage · list_dependencies · list_discovered_agents · adopt_discovered_agent
The failure loop: list_open_incidents · add_incident_note
Alert routing: set_route · delete_route
Delivery log: list_deliveries, recent alert deliveries across every monitor, no paging
Destinations: list_destinations · create_destination · update_destination · test_destination · delete_destination
Alert templates: get_alert_templates · set_alert_template
Agent registry: register_agent · list_agents · get_agent · update_agent · delete_agent
Status pages: list_status_pages · create_status_page · update_status_page · delete_status_page
API keys: create_api_key (optional scope: read / write / admin / ingest) · list_api_keys · regenerate_api_key (new secret, same key; does not cascade) · revoke_api_key (cascades to every key it created)
Terraform: export_terraform
This binary carries the same tool set as the hosted server at mcp.lastping.dev. It is a thin REST client throughout: every tool is a direct HTTP call to the management API, so it stays free to run yourself with no lag behind the hosted surface beyond a new release.
The one that matters most is get_ping_instructions: an agent calls create_monitor, then asks for its own ping commands, and wires them into its own work — in one conversation, without a human opening a dashboard.
Every monitor gets a URL. There is nothing to install and no library to keep current; anything that can make an HTTP request can report.
| What happened | Request |
|---|---|
| finished successfully | POST |
| started a run | POST /start |
| failed | POST /fail with the error as the body |
| exited with a code | POST / |
| waiting on a human | POST /blocked |
| progress worth recording | POST /note |
Add ?rid= to pair a run's start with its result, so LastPi
只显示了开头部分;其余内容请在仓库中阅读