20 tagged cost tracking, measured the same way as everything else here.
Browse within: mcp-sampling 8nextjs 8
MCP server Claude CodeCodexCursor +2
Query your MCPSpend usage: cost today, top tools, recent sessions, budget projections. Runs locally from the @mcpspend/mcp-server npm package. Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "beezi" as configured in Beezi-AI/beezi-claude-plugin. Runs ${CLAUDE_PLUGIN_ROOT}/scripts/mcp.mjs with node.
MCP server Claude CodeCodexCursor +2
MCP server "observer" as configured in superbasedapp/observer. Launched with observer serve.
MCP server Claude CodeCodexCursor +2
AI cost tracking: 11 tools for spend, budgets, and Claude Code + Cursor + Cline costs. Runs locally from the @f3d1/llmkit-mcp-server npm package. Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
Which 5-hour window took you out, and where the money goes. Local usage/cost profiler for Claude Code, OpenClaw and Hermes Agent. Zero dependencies, nothing leaves your machine. Runs locally from the agentburn Python package.
MCP server Claude CodeCodexCursor +2
Runtime observability for AI agents — see exactly what your agent did, why it did it, and what it cost. Runs locally from the agentic-ledger Python package.
MCP server Claude CodeCodexCursor
Track LLM costs, set budget limits, get alerts. One command to install, one line to use. Runs locally from the @wimoron/llm-cost-guard npm package.
MCP server Claude CodeCodexCursor
Cost Guard for Claude Code: per-tool ROI, subagent attribution, anomaly/forecast/budget guards. Runs locally from the @vk0/agent-cost-mcp npm package.
MCP server Claude CodeCodexCursor
Compare AI coding tool spend before and after a migration -- Cursor, Claude Code, GitHub Copilot, OpenCode, and Codex CLI, real numbers pulled from each vendor's own API or local logs, one command, zero runtime dependencies. Runs locally from the teamspend-cli Python package.
mdfifty50-boop/agent-observability-mcp
MCP server Claude CodeCodexCursor
Agent tracing, cost tracking, anomaly detection for LLM agents. Runs locally from the agentic-observability-mcp npm package.
ketankshukla/learn-mcp-agent-ledger
MCP server Claude CodeCodexCursor +2
MCP server "kitchen-live", hosted remotely at learn-mcp-agent-ledger.vercel.app, as configured in ketankshukla/learn-mcp-agent-ledger.
ketankshukla/learn-mcp-agent-ledger
MCP server Claude CodeCodexCursor +2
MCP server "pantry-live", hosted remotely at learn-mcp-agent-ledger.vercel.app, as configured in ketankshukla/learn-mcp-agent-ledger.
ketankshukla/learn-mcp-agent-ledger
MCP server Claude CodeCodexCursor +2
MCP server "cookie-jar-live", hosted remotely at learn-mcp-agent-ledger.vercel.app, as configured in ketankshukla/learn-mcp-agent-ledger.
MCP server Claude CodeCodexCursor +2
Daily snapshots of your AI coding usage, kept forever: local dashboard, optional Cloudflare Worker backup, MCP servers over both. Runs locally from the tokenarchive npm package.
MCP server Claude CodeCodexCursor +2
See what every AI agent costs you, across every vendor, in one line. No account, no dependencies, no network calls. Runs locally from the focxle Python package. Needs 1 environment variable to run.