"AWS Cost and Usage Analysis with Cost Optimization Recommendations" matching MCP servers:

Enables scanning AWS accounts for cost optimization opportunities by reading resource configurations and pricing data, without making any modifications.

Enables building AWS cost estimates from natural language requests and generating formatted Excel reports with real pricing, INR conversion, and best practices.

Tracks AI agent token usage and spending in real time, with budget alerts, per-task cost breakdown, and a visual dashboard.

A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen, DeepSeek) alongside Anthropic and OpenAI.

Estimates Claude API token counts, per-model cost, and prompt-caching break-even without an API key or network.

Lets a local Claude Code session drive a visible browser paint editor through four tools — viewing a canvas screenshot, laying down a single brush stroke with real color/size controls, undo/redo, and exporting the finished PNG — so the model can draw an uploaded reference portrait stroke by stroke. Supports optional recording and run-limit settings for comparing drawing quality, timing and CLI cost between a standard and a cost-controlled setup.

Provides cost analysis of AI agent usage by previewing scrubbed metadata before upload and analyzing spend, cache-hit rates, and waste recovery through a local or remote server.

Token-cost telemetry for OpenClaw, queryable from Claude or any MCP-aware agent. Provides per-agent and per-provider cost attribution, anomaly detection, model-routing recommendations, and 30-day forecasts.

Multi-tenant LLM cost attribution for chargeback billing.

LLM cost optimization and provider usage visibility for MCP-capable agents.

MCP server for tracking LLM costs, setting spending limits, and receiving budget alerts directly within AI editors via slash commands like /guard.

Enables measuring how the same MCP tools implemented in FastMCP, the official MCP Python SDK, and fastapi-mcp differ in token overhead, schema fidelity, and call latency.

A local MCP server that exposes Blacksmith.sh's usage and cost data, enabling queries for CI spend through agents, alerts, or dashboards.

Enables local-first tracking of AI token usage and costs from Claude Code and OpenCode, answering queries about tokens, models, sessions, and cost through MCP tools and a CLI, with no network calls.

MCP server that reads local OpenClaw session files to provide token usage and cost data without any network calls or authentication.

Provides Claude plan usage data (session and weekly percentages) as an MCP tool by reading through a logged-in browser, enabling Claude to check its own remaining usage.

Provides tools to count tokens, estimate API costs, optimize prompts, and compare AI model pricing for multiple LLMs.

Read-only MCP server for querying AI usage metrics (exact tokens, cost, latency, errors, productivity) from a local SQLite database, enabling charts and analysis in Claude Code and Cursor.

Enables retrieving real Claude subscription usage statistics, including the 5-hour session window, weekly limit, and per-model limits, from the same endpoint Claude Code uses.

An MCP server that exposes Claude Code's real-time rate limit usage so that an orchestrator can check remaining capacity before launching subtasks.