Tickerr
Query live uptime, API pricing, and rate limits for 42+ AI coding and LLM tools from your editor without opening vendor status pages.
Overview
Tickerr is an MCP server for the Operate phase that exposes live status, API pricing, and rate limits for ChatGPT, Claude, Gemini, Cursor, and 42+ AI tools.
What is this MCP server?
- Covers ChatGPT, Claude, Gemini, Cursor, and 42+ AI tools in one MCP surface
- Remote streamable HTTP at tickerr.ai/mcp plus npm stdio package tickerr-mcp v1.0.1
- Live status alongside API pricing and rate-limit context for vendor comparison
- Useful before launches, during incidents, and when modeling API spend
- 42+ AI tools covered
- Server version 1.0.1
- Remote endpoint https://tickerr.ai/mcp
Community signal: 1 GitHub stars.
What problem does it solve?
Solo builders waste time refreshing scattered vendor status pages and pricing docs when an API feels slow or expensive.
Who is it for?
Indie builders running multi-vendor LLM stacks who need quick incident and cost context inside the editor.
Skip if: Teams that need deep application APM, custom SLA contracts, or non-AI infrastructure monitoring only.
What do I get? / Deliverables
After you add Tickerr, your agent can cite current provider health, pricing, and limits in one query while you debug or plan spend.
- Live status answers for 42+ AI tools via agent queries
- Pricing and rate-limit context for provider decisions
- Faster incident triage when external AI APIs misbehave
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Journey fit
Canonical shelf is Operate because the core value is ongoing visibility into provider health and limits after you depend on external AI APIs. Monitoring matches live status feeds and operational awareness, not one-off research or build-time wiring alone.
How it compares
MCP monitoring feed for AI vendors, not an agent skill or self-hosted observability stack.
Common Questions / FAQ
Who is Tickerr for?
Solo and indie builders using Claude Code, Cursor, or similar agents who depend on third-party AI APIs and want status and pricing without leaving the IDE.
When should I use Tickerr?
Use it when choosing providers, debugging rate limits, checking outages during ship week, or reviewing API economics in validate and operate.
How do I add Tickerr to my agent?
Register the remote MCP URL https://tickerr.ai/mcp or install the npm package tickerr-mcp with stdio transport per your client’s MCP config.