{"slug":"temurkhan13/openclaw-cost-tracker-mcp","name":"openclaw-cost-tracker-mcp","description":"MCP server for AI agent token-cost telemetry + quota-window awareness across Anthropic, OpenAI, Gemini, Ollama, AWS Bedrock. Per-agent attribution, spend-spike detection, 429-prediction tools.","category":"development","tags":[],"official":false,"stars":0,"transport":null,"install":[{"cmd":"pip install openclaw-cost-tracker-mcp","imports":[]}],"tools":[{"name":"cost_overview","description":"Get a summary of total spend over a specified time period, broken down by provider and agent."},{"name":"top_cost_drivers","description":"Identify the top cost-driving agents or models over a specified time period."},{"name":"find_cost_anomalies","description":"Detect spend spikes per agent using median-based anomaly detection."},{"name":"model_routing_recommendations","description":"Suggest cheaper model routing alternatives with estimated 30-day savings."},{"name":"predict_429_in_window","description":"Predict if a provider rate limit (429) will be hit before the current window resets, based on burn rate."},{"name":"recommend_throttle_target","description":"Recommend a safe burn rate to avoid hitting provider rate limits, given a target buffer percentage."}],"env_vars":[],"auth_type":"none","github":"https://github.com/temurkhan13/openclaw-cost-tracker-mcp","homepage":"","server_url":"","status":"active","source":"mcpservers.org","updated_at":"Mon May 25"}