Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Pick the AI app you use, then copy the settings.
Passed 4/4 checks · What you ask goes through the maker’s server (llmlatency.dev) · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude · about 2 min
No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it
CustomizeConnectors
Copy each value into the field with the same name in Claude, then click Continue
LLM Latency Trackerhttps://llmlatency.dev/mcpClick Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add
+ConnectorsLLM Latency Tracker
Use LLM Latency Tracker and tell me what you can do for me, then show me one thing✓ If Claude says it is using LLM Latency Tracker or shows a LLM Latency Tracker tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with ChatGPT, depending on your plan
Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only
Plugins+Add custom MCP server
Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin
LLM Latency Trackerhttps://llmlatency.dev/mcpStart a new chat and pick LLM Latency Tracker from your plugins before typing
Use LLM Latency Tracker and tell me what you can do for me, then show me one thing✓ If ChatGPT says it is using LLM Latency Tracker or shows a LLM Latency Tracker tool in the answer, you are connected
Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Claude Code · about 2 min
No key, nothing to install
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --transport http --scope user llm-latency-tracker https://llmlatency.dev/mcpYou should see LLM Latency Tracker listed as connected
Use LLM Latency Tracker and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using LLM Latency Tracker or shows a LLM Latency Tracker tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor · about 2 min
No key, nothing to install
Use LLM Latency Tracker and tell me what you can do for me, then show me one thing✓ If Cursor says it is using LLM Latency Tracker or shows a LLM Latency Tracker tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code · about 2 min
No key, nothing to install
Use LLM Latency Tracker and tell me what you can do for me, then show me one thing✓ If VS Code says it is using LLM Latency Tracker or shows a LLM Latency Tracker tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
Address for apps that connect over the web
https://llmlatency.dev/mcpJSON settings are under “For developers” below
Claude Code
claude mcp add --transport http --scope user llm-latency-tracker https://llmlatency.dev/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"llm-latency-tracker": {
"url": "https://llmlatency.dev/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"llm-latency-tracker": {
"type": "http",
"url": "https://llmlatency.dev/mcp"
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Tool names and descriptions exactly as the server reported them on Nov 13, 2026. The maker wrote them, not us; we show them as plain text.
get_ai_api_latencyMeasured latency (TTFB p50/p95) and uptime rankings of AI inference API providers by region, from llmlatency.dev.
get_model_deprecationsAI model deprecation calendar: announced and shutdown dates, replacement models, and how many days of migration notice each provider actually gives (median/min/max). Every entry is verified against the provider own deprecation page.
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 14, 2026
The registry name was verified against the domain llmlatency.dev (the registry checks domain ownership)
Code last changed yesterday
Not applicable: a cloud server run by the owner of llmlatency.dev; you don't run code from the repo
No sign-in needed
Read 2 tool descriptions and found no hidden instructions to the AI
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 4 of 4 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 yesterday, and the latest version (1.1.0) reached the registry 3 months 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 on the web (full MCP on Business and above; Pro read-only).
In the same category: Context7, Codebase Memory, OpenSEO
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Measure AI API latency and uptime across regions, and publish the results as open data.
🌐 [Live rankings](https://llmlatency.dev) · [JSON API](https://llmlatency.dev/api/rankings.json) · [MCP endpoint](https://llmlatency.dev/mcp)
llms.txt index.Reading the results: edge TTFB measures network/API responsiveness, not model generation speed. Compare it separately from inference TTFT; results depend on region, probe type and time window.
Use the public data without installing anything:
curl https://llmlatency.dev/api/rankings.json
Or run edge probes locally with Python 3.12+:
git clone https://github.com/mazamaka/llm-latency-tracker.git
cd llm-latency-tracker REGION=local python3 run.py python3 aggregate.py --region local
For a local stdio MCP server over the published API (stdlib only, no keys):
python3 mcp_server.py
Tools: get_ai_api_latency (provider leaderboard per region), get_provider_latency (one provider across regions), get_model_deprecations (model shutdown calendar), get_coding_agent_health (Claude Code / Codex speed and accuracy drift). All read-only.
[Inference probes, API access & site generation →](docs/USAGE.md) · [Deployment →](deploy/)
Add a provider, bring a new probe region, or improve the measurement code. See [CONTRIBUTING.md](CONTRIBUTING.md) for setup and checks.
Python · SQLite · JSON API · MCP · Cloudflare Pages
[Code: MIT](LICENSE) · Data: CC-BY-4.0, with attribution to llmlatency.dev.
📈 Latest daily snapshot
Measured latency across 46 AI inference providers in 4 regions. Method: distributed edge (DNS→TCP→TLS→TTFB) + inference (TTFT) probes, last 24h. License: CC-BY-4.0.
| Region | Fastest provider (p50) | p50 | p95 | Uptime |
|---|---|---|---|---|
| Asia (Tokyo) | fireworks | 21 ms | 66 ms | 100% |
| Europe (Germany) | fireworks | 15 ms | 95 ms | 100% |
| South America (São Paulo) | openrouter | 60 ms | 86 ms | 100% |
| US (Central) | fireworks | 29 ms | 74 ms | 100% |
data/rankings/2026-11-06.json (latest)10.5281/zenodo.23388429 — daily aggregates, CC-BY-4.0swh:1:snp:2778cbabd72a70a629ee35fbd5ac536d1ccb7a9a_Snapshot generated 2026-11-06T07:46:48Z — this table is regenerated daily._