claude-cost-mcp

by firstshout

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claude-cost-audit-mcp
AI & Machine Learning Developer Tools Code Analysis
tylerscomic-lab
A
license
Not graded
quality
D
maintenance
Enables exact Claude API cost estimation from token counts with correct prompt-cache economics, plus cache break-even analysis showing whether and at which TTL reusing a prefix pays off. It also scans source code for tiktoken-based token counting used alongside Claude models and points to the correct fix.
Updated 3 months ago (2026-07-25 16:47 UTC)
MIT
AI Token Cost Optimization MCP
AI & Machine Learning Developer Tools
SujanGhosh2002
A
license
Not graded
quality
D
maintenance
Provides tools to count tokens, estimate API costs, optimize prompts, and compare AI model pricing for multiple LLMs.
Updated 3 months ago (2026-07-15 18:45 UTC)
34 npm
MIT
context-forensics-mcp
Developer Tools Observability AI & Machine Learning
Angelfmoncada
A
license
Not graded
quality
B
maintenance
Enables offline, read-only forensic analysis of Claude Code session transcripts, providing exact token usage, cost estimates, context growth, and compaction suggestions.
Updated a month ago (2026-09-21 03:57 UTC)
MIT
Tokmeter
AI & Machine Learning Developer Tools Monitoring
sriinnu
A
license
Not graded
quality
A
maintenance
Token usage and estimated cost for Claude Code, Codex, Cursor and 13 more AI coding agents, read locally from their session files. No API key.
Updated a day ago (2026-10-25 21:17 UTC)
1
AGPL 3.0
contextburn
Agent Orchestration Monitoring Developer Tools
arsentev-ai
A
license
B
quality
B
maintenance
Lets a coding agent inspect its own run efficiency mid-session from local Claude Code transcripts, exposing the share of paid tokens that became model output versus context re-reading. Ships two stdio tools — one returning the shares as structured data and one returning the full cost-weighted report — with no network calls.
Updated 21 days ago (2026-10-06 07:45 UTC)
2
24 PyPI
MIT
Cost Explorer MCP
AI & Machine Learning Developer Tools
theaidrill
F
license
Not graded
quality
C
maintenance
Estimates Claude API costs with interactive sliders, live comparison across five models, and returns the selected model to the conversation.
Updated 2 months ago (2026-08-12 12:50 UTC)
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Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A4.1/5.0

Scored 2026-06-10 16:46 across 5 tools

Disambiguation5/5

Each tool has a clear, distinct purpose: batch savings, caching break-even, provider comparison, cost estimation, and token estimation. No overlap between them.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., batch_savings, estimate_cost), making them predictable.

Tool Count5/5

Five tools is an appropriate size for a cost-estimation server, each covering a necessary aspect without being excessive or insufficient.

Completeness4/5

The tool set covers core cost estimation, token counting, batch savings, caching efficiency, and provider comparison. Minor gaps like historical usage tracking exist but are not essential for the stated purpose.

Maintenance

ActivityInactive

ResponsivenessNo issues

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claude-cost-audit-mcp

AI Token Cost Optimization MCP

context-forensics-mcp

Tokmeter

contextburn

Cost Explorer MCP

TDQS

Maintenance

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