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  2. openclaw-cost-tracker-mcp/
  3. Alternatives

openclaw-cost-tracker-mcp Alternatives

openclaw-cost-tracker-mcp is an open-source MCP server that provides token-cost telemetry, quota-window awareness, anomaly detection, and spend forecasting for AI agents using providers like Anthropic, OpenAI, Gemini… Below are 11 llm eval & observability apps with similar functionality to openclaw-cost-tracker-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.

  • openclaw-health-mcp
    pypi.org

    openclaw-health-mcp is an open-source MCP server for monitoring the health of AI agent deployments. It tracks gateway status, resource usage, errors, and skill registry integrity, providing cross-platform support for infrastructure operators and developers managing production AI systems.

  • openclaw-output-vetter-mcp
    pypi.org

    openclaw-output-vetter-mcp is an open-source MCP server for verifying AI agent outputs, providing inline grounding checks, exception scanning, and transcript review. It is designed for developers and researchers working with AI agents who need robust evaluation and observability tools.

  • aws-cost-mcp
    github.com

    MCP Server for AWS Cost Explorer — query costs, analyze EC2, detect anomalies, and generate cost reports

  • openclaw-cost-diff
    github.com

    Compare OpenClaw token usage and API cost across time windows, agents, models, and channels.

  • agent-cost-allocator-mcp
    pypi.org

    agent-cost-allocator-mcp is an open-source CLI tool for allocating LLM usage costs across multiple tenants in agent-based SaaS environments. It enables accurate chargeback billing and integrates with agent-token-budget systems. Designed for developers building multi-tenant AI agent platforms.

  • cctx-mcp
    github.com

    cctx-mcp is an open-source MCP server designed for AI agents, offering structured code analysis that significantly reduces token usage. It integrates with Tree-sitter and is aimed at developers building efficient AI-powered code tools.

  • openclaw-skill-vetter-mcp
    pypi.org

    openclaw-skill-vetter-mcp is an open-source MCP server that scans and security-vets third-party AI agent extensions, providing risk scores and static analysis to help developers and security teams prevent vulnerabilities.

  • Clawwatcher
    clawwatcher.com

    Clawwatcher is a web-based tool for monitoring OpenClaw AI agents, offering real-time dashboards for token usage, budget limits, and spending alerts. It helps AI operations teams control costs and prevent budget overruns when deploying AI agents.

  • openclaw-upgrade-orchestrator-mcp
    pypi.org

    openclaw-upgrade-orchestrator-mcp is an open-source CLI tool that manages safe upgrades for AI agent runtimes. It provides regression detection, catalog management, snapshot diffing, and rollback capabilities, supporting Anthropic and OpenAI providers. Designed for AI infrastructure teams.

  • costco-mcp-server
    pypi.org

    costco-mcp-server is an open-source MCP server that allows developers to access Costco warehouse receipts and online orders through a GraphQL API, supporting multi-account management and Azure AD B2C authentication. It is designed for integration with AI agents like Claude and automation systems.

  • CostWise MCP SDK
    cost-wise.dev

    CostWise MCP SDK is an open-source Python library that helps developers manage and optimize the costs of using AI models in their applications. It provides managed cost policies, integrates with LLM providers like OpenAI and Anthropic, and supports FinOps practices. Designed for developers seeking to control AI spend programmatically.