llmkit-mcp-server
Related Servers
Alternatives to llmkit-mcp-server
- AlicenseCqualityDmaintenanceEnables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.401Apache 2.0
- FlicenseNot gradedqualityDmaintenanceEnables querying and analyzing AWS cost and usage data through the AWS Cost Explorer API. Supports cost comparisons, forecasting, dimension filtering, and cost change driver analysis with streamable HTTP deployment to Amazon Bedrock Agentcore Runtime.-
- AlicenseBqualityDmaintenanceAn MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.10MIT
Related Servers
- AlicenseBqualityDmaintenanceEnables querying Langfuse analytics, cost metrics, and usage data across multiple projects. Provides tools for trace analysis, model/service cost breakdowns, and daily usage trends through natural language queries.2467 npmMIT
- FlicenseNot gradedqualityAmaintenanceEnables natural-language querying and analysis of AWS spending and model-invocation usage, including detailed breakdowns by service, region, account, day, and instance type.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to retrieve and analyze cloud spending and model usage data, including service, region, instance-type, user, and model breakdowns.-
- AlicenseAqualityAmaintenanceProvides real-time AI compute pricing and cost analysis across LLM providers, enabling session cost tracking, model price comparisons, and historical data queries.22198 npmMIT
- FlicenseNot gradedqualityAmaintenanceEnables natural-language querying of AWS cloud spending and Amazon Bedrock usage logs, with detailed breakdowns by day, region, service, instance type, user, and model, including cross-account cost retrieval.-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to pre-flight estimate query costs, enforce hard budgets, reconcile actual billed spend, and suggest cheaper rewrites across BigQuery, Snowflake, and Databricks.MIT
TDQS
Scored across 11 tools
Tools are mostly distinct, targeting different aspects like budget, cost breakdown, health, keys, local session, etc. However, llmkit_cost_query, llmkit_usage_stats, and llmkit_session_summary have overlapping purposes (cost/spend/usage data) which could cause some confusion.
All tools follow a consistent pattern with the 'llmkit_' prefix and descriptive noun phrases separated by underscores, e.g., llmkit_budget_status, llmkit_cost_query. No mixing of conventions.
With 11 tools, the count is well within the recommended 3-15 range. Each tool covers a distinct aspect of proxy cost monitoring and management, justifying its inclusion.
The tool surface covers major monitoring needs: health, budget, cost, keys, sessions, and local attribution. However, it lacks management capabilities (e.g., create/update keys or budgets) and could include actions like setting usage limits, which are minor gaps for a read-only analytics server.