About io.github.imviky-ctrl/tickerr
io.github.imviky-ctrl/tickerr is an MCP server in the Commerce category: live status, API pricing and rate limits for ChatGPT, Claude, Gemini, Cursor and 42+ AI tools.
Install
claude mcp add io-github-imviky-ctrl-tickerr -- npx -y tickerr-mcpnpx -y tickerr-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (7)
compare_pricingSide-by-side cost comparison across models for a given token count.
Parameters not published.
get_api_pricingCurrent input/output/cached token costs for 300+ models. Updated twice daily.
Parameters not published.
get_free_tierFree tier details — what's included, what's limited.
Parameters not published.
get_incidentsHistorical incidents for a tool — severity, duration, affected components. Include `my_status` to contribute to live signal and see current agent-reported activity alongside history.
Parameters not published.
get_model_performanceLatest TTFT reading plus p50/p95 latency (24h) and tokens/sec from authenticated API calls. Use for real-time routing decisions.
Parameters not published.
get_rate_limitsPer-plan rate limits and quotas for any AI tool.
Parameters not published.
report_incidentReport an LLM API failure. Returns live signal from other agents and a routing recommendation. Anonymous.
Parameters not published.
Ask AI
Ask AI about io.github.imviky-ctrl/tickerr
Powered by Claude · Grounded in docs
Security checks
- ✓README presentThe repository ships documentation.
5 checks have not been run yet.
README
Tickerr MCP
Outage radar for AI agents. LLM pricing, status, inference performance, and real-time agent-reported failure signals. 9 tools. No auth required.
Install
Claude Code
claude mcp add tickerr --transport http https://tickerr.ai/mcp
Cursor / Windsurf
{
"mcpServers": {
"tickerr": {
"url": "https://tickerr.ai/mcp"
}
}
}
Claude Desktop (stdio wrapper)
npx -y tickerr-mcp
Tools (9)
| Tool | What it does |
|---|---|
| get_api_pricing | Current input/output/cached token costs for 300+ models. Updated twice daily. |
| compare_pricing | Side-by-side cost comparison across models for a given token count. |
| get_tool_status | Three-state verdict (OPERATIONAL / DEGRADED / DOWN) combining HTTP checks and live API inference. Uptime % and response time included. |
| get_incidents | Recent incidents for a tool — severity, duration, affected components. |
| get_rate_limits | Per-plan rate limits and quotas for any AI tool. |
| get_free_tier | Free tier details — what's included, what's limited. |
| get_model_performance | Latest TTFT reading plus p50/p95 latency (24h) and tokens/sec from authenticated API calls. Use for real-time routing decisions. |
| list_tools | Full list of tools and models tracked by Tickerr. |
| report_incident | Report an LLM API failure. Returns live signal from other agents and a routing recommendation. Anonymous. |
Agent Reporting — Give and Take
Tickerr MCP uses a give-and-take model for the
report_incident tool.
What you get: When your agent calls report_incident
on a failure, you instantly receive:
- How many other agents reported the same issue
- Current signal state (detecting / confirmed / recovering)
- Which model to fall back to
What you give: Anonymous failure signal — provider, model, error code, latency only. No request content. No personal data.
How to use it (Claude Code):
report_incident fires automatically when your agent
hits a 5xx error. No configuration needed — the tool
description instructs Claude Code to call it.
How to use it (other agents): Add this to your system prompt:
On any 5xx error or timeout from an LLM API, call
report_incident from Tickerr MCP before retrying.
Use the returned recommendation to decide whether
to retry or switch models.
Reporting window: Active for 7 days from last Tickerr tool use. Renews automatically on any tool call.
Opt out any time: tickerr.ai/mcp/opt-out
Signal States
| State | Meaning | Reporter threshold |
|---|---|---|
| quiet | No reports in last 10 min | 0 |
| detecting | Reports coming in, not yet corroborated | 1–2 agents |
| confirmed | Issue verified by multiple agents | 3+ distinct agents |
| recovering | Reports dropping, recovery signals arriving | — |
Example Return Payload (report_incident)
REPORT RECEIVED
Provider: anthropic
Model: claude-haiku-3-5
Error: 529 overloaded
CURRENT SIGNAL (anthropic/claude-haiku-3-5)
Status: CONFIRMED
Agents reporting (last 10 min): 14
Total reports (last 10 min): 31
RECOMMENDATION
Action: FALLBACK
Switch to: gpt-4o-mini (openai)
REPORTING CADENCE
Next report for this model: in 3600 seconds if still failing.
Signal confirmed by multiple agents — reduce reporting frequency.
Data Coverage
- Status: 90+ AI tools monitored every 5 minutes
- Pricing: 300+ models, updated twice daily from OpenRouter and official provider docs
- Performance: Authenticated API latency checks every 5 minutes
- Agent signals: Live feed at tickerr.ai/agent-reports
Links
- Docs: tickerr.ai/mcp-server
- Status: tickerr.ai/status
- Pricing: tickerr.ai/pricing
- Agent reports: tickerr.ai/agent-reports
- Opt out: tickerr.ai/mcp/opt-out
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.