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MCPSpend

Connector Development Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Tracks actual MCP infrastructure costs by tool and project, preventing runaway spend on agent-driven workloads and enabling accurate chargeback to teams or c…

Real-time cost observability for Model Context Protocol (MCP) tool calls. Wraps any MCP server, attributes spend per tool/project/customer. Free tier 25K calls/mo. EU-hosted

86 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Tracks actual MCP infrastructure costs by tool and project, preventing runaway spend on agent-driven workloads and enabling accurate chargeback to teams or customers.

DevOps and platform teams managing multi-tenant MCP deployments with cost allocation requirements.

Claude Code Claude Cowork Claude Chat

https://github.com/andreisirbu91-lab/MCPSpend

By andreisirbu91-lab

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add MCPSpend -- npx -y MCPSpend

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me track API costs by team member and project to identify spending patterns
CostFree

Trust Signals Auto-scanned

Stars86Last updated2026-07-29LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-29 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 86 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 86 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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