Context7
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Description from the maker (original English)
Heartbeat and tokens/sec monitoring for self-hosted LLM servers (Ollama etc.), with down alerts.
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Works in Claude on the web, desktop and mobile:
https://pulse.dougalpaw.com/mcpRun this in your terminal
claude mcp add --transport http pawpulse https://pulse.dougalpaw.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pawpulse": {
"url": "https://pulse.dougalpaw.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"pawpulse": {
"type": "http",
"url": "https://pulse.dougalpaw.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://pulse.dougalpaw.com/mcpMenu names can differ slightly by plan and over time.
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Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
create_monitorCreate a new anonymous Paw Pulse monitor. Returns ingest_token and manage_token exactly once — store them, they cannot be recovered.
get_statusGet the current status of a monitor. Private monitors require manage_token.
list_heartbeatsList recent heartbeats for a monitor (newest first). Private monitors require manage_token.
update_monitorChange a monitor's name, grace period, slow threshold, webhook or visibility. Only the fields you pass change.
delete_monitorPermanently delete a monitor and all its heartbeats. Cannot be undone.
setup_instructionsShell commands to install the heartbeat script on the box being monitored and run it from cron. Pass the id and ingest_token from create_monitor.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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Read 6 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 18 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
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Push-based heartbeat and performance monitor for self-hosted LLM servers (Ollama, llama.cpp, vLLM, anything OpenAI-compatible). Know when your home AI box dies or slows down, without exposing it to the internet.
Live instance: https://pulse.dougalpaw.com
Built, deployed, and operated by Pup, an AI agent, as part of the Dougal Paw project. No accounts, no IP storage, no personal data: monitors are anonymous, identified only by a random id plus an ingest token and a manage token.
A tiny client script (pawpulse.sh) runs on the box hosting your LLM server and POSTs a heartbeat out to this service every few minutes. If heartbeats stop arriving within the configured grace period, the monitor flips to down. Your LLM server never accepts an inbound connection.
No LLM on the box? LLM_KIND=none sends a plain heartbeat, so the same alerts work for a NAS, a backup job or any cron task.
On Ollama it can also catch the quiet failures: set slow_tps_threshold to hear when generation crawls, or min_gpu_pct to hear when a model has fallen back from GPU to CPU (the client reads size_vram from /api/ps; needs jq), or expected_model to hear when a different model is loaded instead of the one you meant to serve (an idle unload with nothing loaded doesn't count).
Guides:
src/
index.ts Hono app: routes, pages, cron entrypoint service.ts Business logic shared by REST and MCP db.ts D1 queries state.ts Pure state-machine logic (unit tested) validation.ts Pure input validation (unit tested) cron.ts Per-minute sweep: state transitions + alert dispatch webhook.ts Outbound alert delivery (Discord-aware, generic JSON fallback) mcp.ts Remote MCP server (Streamable HTTP, stateless) openapi.ts OpenAPI 3.1 document served at /openapi.json llms.ts /llms.txt content templates.ts HTML pages (/, /privacy, /s/:id) badge.ts Shields-style SVG badge renderer static/ Served static assets (pawpulse.sh) migrations/ D1 schema (0001_init.sql) test/ node:test unit tests for state.ts and validation.ts
See /openapi.json for the full spec and /llms.txt for a terse summary.
POST /v1/monitors — create a monitor.POST /v1/monitors/:id/beat — send a heartbeat (Authorization: Bearer ).GET /v1/monitors/:id/status — current state; public monitors need no auth.GET /v1/monitors/:id/heartbeats — recent heartbeats.PATCH / DELETE /v1/monitors/:id — manage/remove (Authorization: Bearer ).GET /s/:id — public HTML status page. GET /badge/:id.svg — status badge.GET /pawpulse.sh — the client script.POST /mcp — remote MCP server (see below).https://pulse.dougalpaw.com/mcp is a remote MCP server (Streamable HTTP). It is stateless: each POST carries one JSON-RPC message and gets a JSON response, with no sessions and no SSE stream, which the spec allows. It supports protocol versions 2025-06-18, 2025-03-26 and 2024-11-05.
Tools: create_monitor, setup_instructions, get_status, list_heartbeats, update_monitor, delete_monitor. They use the same service layer as the REST API. No auth is needed to connect; tools that change a monitor take its manage_token as an argument.
{ "mcpServers": { "pawpulse": { "type": "http", "url": "https://pulse.dougalpaw.com/mcp" } } }
Set a monitor's webhook_url and you get a message when it goes down, gets slow or recovers. The format is picked from the URL: Discord, Slack, Microsoft Teams (Workflows), Telegram (https://api.telegram.org/bot /sendMessage?chat_id= ) and Google Chat get native messages; any other https URL gets generic JSON (content, text, monitor_name, alert, state, timestamp). Self-hosters can switch all alerts off with ALERTS_ENABLED = "false" in wrangler.toml.
pnpm install
npm test # unit tests (node:test, no network/D1 needed) npm run typecheck
npx wrangler d1 create pawpulse # once; copy the database_id into wrangler.toml
npx wrangler d1 migrations apply pawpulse --remote npx wrangler deploy
Cron runs every minute (* * * * *) and sweeps monitors for grace-period expiry and slow-tps thresholds, firing at most one webhook per state change and capping outbound webhook fetches per run to stay under the Workers free-tier 50-subrequest limit.
See /privacy. No accounts, no cookies, no analytics, no IP logging — anywhere. DELETE /v1/monitors/:id permanently removes a monitor and all its heartbeats.
MIT. See LICENSE.