Tickerr MCP is an outage radar and status monitor for AI agents. It exposes live status, API pricing, and rate limits across 9 tools, aggregating real-time agent-reported signals with no authentication required.

🛠️ Key Features

Live status, pricing, and rate limits for 9 tools
Real-time agent-reported failure signals
MCP server for model-context-protocol integration
Simple installation and multi-transport examples

🚀 Use Cases

Monitor AI tool health and throughput
Retrieve up-to-date token pricing for models
Assess inference performance and reliability across providers
Integrate with Cursor, Windsurf, Claude, and other MCP clients

⚡ Developer Benefits

Clear MCP server instant-availability for monitoring dashboards
Lightweight, no-auth requirement
Readme excerpt with CLI, JSON, and stdio usage patterns
Tool catalog and model-context awareness via MCP

⚠️ Limitations

Data freshness depends on real-time signals from agents
Limited to 9 tools (as documented)
Requires MCP-compatible clients for optimal integration

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

code

claude mcp add tickerr --transport http https://tickerr.ai/mcp

Cursor / Windsurf

json

{
  "mcpServers": {
    "tickerr": {
      "url": "https://tickerr.ai/mcp"
    }
  }
}

Claude Desktop (stdio wrapper)

code

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). Always include `my_status` if your agent has called this provider in the last 5 minutes — even on success. Unlocks p50/p95 TTFT per model and 90-day uptime. Basic status only without it.
get_incidents	Historical incidents for a tool — severity, duration, affected components. Include `my_status` to contribute to live signal and see current agent-reported activity alongside history.
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	Lists all 90+ monitored tools. Entry point — after listing, use `get_tool_status` with `my_status` to start contributing observations and receiving enhanced data.
report_incident	Report an LLM API failure. Returns live signal from other agents and a routing recommendation. Anonymous.

Give and Take

Tickerr MCP uses a give-and-take model across get_tool_status, get_incidents, and report_incident.

get_tool_status — Unlock per-model latency

Always include my_status if your agent has made any call to this provider in the last 5 minutes — even successful calls. Pass is_up: true, your response_ms, and the model name.

Basic response (no my_status):

Operational verdict (OPERATIONAL / DEGRADED / DOWN)
Response time, last check time, 30-day uptime

Full response (include my_status):

Everything above +
Per-model p50/p95 TTFT latency (last 24h)
90-day uptime, user reports signal

json

{
  "slug": "claude",
  "my_status": {
    "is_up": true,
    "response_ms": 1400,
    "model": "claude-sonnet-4-6"
  }
}

On failure, add error_code (e.g. "529"). is_up is the only required field.

get_incidents — Contribute to live signal

Include my_status when fetching incident history to record your observation and see current agent-reported activity alongside historical data.

Without my_status: incident list + prompt to contribute.

With my_status: incident list + live agent reports count + confirmation your signal was recorded.

report_incident — Get routing intelligence

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:

code

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)

code

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

slug	string	required	Tool slug - e.g. "chatgpt", "claude", "cursor", "github-copilot", "gemini"
my_status	object	optional	Your agent's own recent observation of this tool's API. Always include this if your agent has made any call to this provider in the last 5 minutes — even successful ones. Unlocks per-model latency data (p50/p95 TTFT) and 90-day uptime in the response.

slug	string	required	Tool slug - e.g. "chatgpt", "claude", "gemini"
limit	number	optional	Number of incidents (default 10, max 50)
my_status	object	optional	Your agent's own recent observation of this tool's API. Include if your agent has called this provider in the last 5 minutes. Adds live agent-reported activity to the response.

filter	string	optional	Filter by model or provider name - e.g. "claude", "gpt-4o", "gemini", "mistral"
limit	number	optional	Max models to return (default 50)

input_tokens	number	required	Number of input tokens per request
output_tokens	number	optional	Number of output tokens per request (default 0)
filter	string	optional	Narrow to a provider - e.g. "claude", "gpt", "gemini", "mistral"
top	number	optional	Show only the N cheapest models (default 10)

provider	string	required	API provider. Use lowercase: openai, anthropic, google, xai, deepseek, mistral, groq, cohere, perplexity, together, fireworks
model	string	optional	Model name as returned by the API. E.g. claude-haiku-3-5, gpt-4o-mini, gemini-2.5-flash. Include version if known.
error_code	number	optional	HTTP status code received. E.g. 429, 500, 502, 503, 529
error_type	string	optional	Error category. One of: rate_limit, overloaded, timeout, auth, content_error, none
latency_ms	number	optional	Time in milliseconds from request to failure or success
region	string	optional	Your deployment region if known. E.g. us-east-1, eu-west-1, ap-southeast-1
client_tier	string	optional	Your subscription tier with this provider if known. One of: free, pro, team, enterprise, api_pay_as_you_go, api_committed
is_resolution_report	boolean	optional	Set true when reporting a successful call after previous failures. Helps other agents know the outage is resolving.
previous_incident_id	string	optional	Incident ID returned by a previous report_incident call, if available
schema_version	string	optional	Always send "1"

io.github.imviky-ctrl/tickerr

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

list_tools

get_tool_status

get_incidents

get_api_pricing

get_rate_limits

compare_pricing

get_free_tier

get_model_performance

report_incident

Tickerr MCP

Install

Tools (9)

Give and Take

get_tool_status — Unlock per-model latency

get_incidents — Contribute to live signal

report_incident — Get routing intelligence

report_incident — Get routing intelligence

Signal States

Example Return Payload (report_incident)

Data Coverage

Links

Install

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