All servers · AI models & agents · Monitoring & logs

LLM Pricing

io.github.skakumanu/llm-pricing-mcp-server · v1.73.2

Measured by MCP Station

Description written by the publisher, not verified

Real-time, drift-verified LLM pricing across 26 providers with cost+quality model routing.

Connect

claude mcp add --transport http llm-pricing-mcp-server https://llm-pricing-api.fly.dev/mcp

{
  "mcpServers": {
    "llm-pricing-mcp-server": {
      "url": "https://llm-pricing-api.fly.dev/mcp"
    }
  }
}

Tools as reported by the server

• get_all_pricing
  Get current pricing for all LLM models from all providers
• estimate_cost
  Estimate the cost of using a specific LLM model
• compare_costs
  Compare costs for multiple LLM models
• get_performance_metrics
  Get performance metrics (throughput, latency, context window) for models
• get_use_cases
  Get recommended use cases and strengths for LLM models
• get_telemetry
  Get MCP server telemetry and usage statistics including tool usage, response times, and error rates
• get_pricing_history
  Query historical pricing snapshots recorded over time. Use this to look up past prices for a model or provider, or to see how prices have changed over a given number of days.
• get_pricing_trends
  Find models whose prices changed the most over a given period. Returns models sorted by absolute percentage price change with a direction label ('increased', 'decreased', or 'unchanged'). Use this to answer questions like 'which models got cheaper this month?' or 'which providers raised prices recen
• register_price_alert
  Register a webhook URL to receive notifications when a model's price changes by more than a specified percentage. Optionally scope the alert to a specific provider or model. Returns the alert ID.
• list_price_alerts
  List all registered price-change webhook alerts with their IDs and settings.
• delete_price_alert
  Delete a registered price-change alert by its ID.
• get_pricing_export_url
  Generate a download URL for the pricing history export. Returns a URL the user can open in their browser to download snapshot history as CSV (for spreadsheets) or JSON (for code). Use this when the user asks to export, download, or save pricing data.
• list_conversations
  List stored chat conversation sessions with their IDs, last-updated timestamp, turn count, and a preview of the most recent user message. Use this when the user asks to see their past conversations or chat history.
• delete_conversation
  Delete a specific chat conversation by its ID. Use when the user asks to delete, clear, or remove a past conversation. Use list_conversations first to find the conversation ID.
• get_ide_pricing
  Get subscription pricing for AI coding IDE tools: GitHub Copilot, Cursor, Windsurf, Claude.ai, JetBrains AI, Amazon Q Developer, and Tabnine. Returns monthly subscription cost, inline completion support, context window, and per-tool strengths. Use this when the user asks to compare IDE AI tools, sub
• predict_cost
  Predict the real cost of an LLM call from your actual prompt text — no need to know token counts in advance. Counts tokens locally, infers the task type (or accepts one explicitly), estimates output length from empirical I/O profiles, and returns all models ranked cheapest-first with effective cost
• optimize_workload
  Optimise a multi-task LLM workload by assigning the cheapest qualifying model to each task instead of running everything through one model. Takes a list of workloads (task type + monthly volume + optional quality floor and capability requirements) and returns a per-task model allocation, the total m
• recommend_model
  Recommend the optimal LLM model from a free-text description of your use case — no need to already know the routing engine's task_type vocabulary. Classifies the description into a task type, then runs it through the same routing engine behind /router/recommend (live pricing + benchmark quality, har
• check_price_drift
  Audit this server's own pricing data against an external reference registry. Prices here are hand-maintained and go stale silently; a price that disagrees with the registry by more than the threshold is automatically withheld from serving the moment it's detected, not just when this tool runs. This
• get_data_quality
  Report an aggregate accuracy summary for the pricing catalogue: what percentage of models have a confirmed, fresh price, how many are currently withheld due to price drift, how many are newly discovered and not yet priced, and how many confirmed prices are over 90 days old. A single trust signal, di
• get_cache_stats
  Report process-lifetime hit/miss counts, total lookups, and hit rate for the ~5-minute recommendation cache, separately for the recommend_model tool and POST /router/recommend (never combined). Server-operations introspection for confirming the cache is reducing recomputation in production, not a pr
• record_usage
  Record actual token usage for a completed LLM call. Cost is computed server-side from current pricing, never trusted from the caller — this is the 'actual spend' counterpart to estimate_cost's hypothetical numbers. Optionally scope to an org_id for per-org spend tracking. Resubmitting the same reque
• get_usage_summary
  Get a summary of actual recorded LLM spend: total cost, request count, and breakdowns by model and provider, from usage events previously logged via record_usage. Use when the user asks what they've actually spent, as opposed to a hypothetical cost estimate.
• analyze_session_usage
  Analyze one specific session's actual recorded LLM usage (tagged via record_usage's session_id) on demand: total input/output tokens, total actual cost, and a per-model breakdown if more than one model was used. Also runs the session's own observed token pattern through the same routing engine behin
• import_session_usage
  Bulk-import a completed session's usage in a single call — the retroactive counterpart to record_usage, for when a session wasn't instrumented live. Use when a calling agent (e.g. VS Code Copilot Chat) already has a session's turn-by-turn history in its own local store and wants this server to repor
• register_budget_alert
  Register a webhook URL to receive notifications when actual recorded spend (from record_usage) crosses a USD threshold within a rolling window. Optionally scope to a specific org_id (omit for total spend across all orgs). Fires at most once per period_days while spend stays over threshold. Returns t
• list_budget_alerts
  List all registered budget-spend webhook alerts with their IDs and settings.
• delete_budget_alert
  Delete a registered budget-spend alert by its ID.
• ask_agent
  Ask the LLM Pricing AI agent a question in natural language. Use for complex queries about pricing, model recommendations, cost optimisation advice, or anything that benefits from multi-step reasoning.

Repository · JSON · Text for agents · Registry updated 2026-10-19