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Alternatives to Xpenser

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to manage personal finances through natural language, including adding, editing, listing, and deleting expenses, organizing them into categories, and setting monthly budgets with overspend warnings. It also provides spending summaries with month-over-month comparisons, budget status checks, and exportable Markdown or CSV reports, all backed by PostgreSQL storage with Google OAuth-authenticated per-user accounts.
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      open-source personal finance app with a first-party MCP server. 91 HTTP tools (OAuth 2.1 + DCR) and 87 stdio tools cover transactions, budgets, accounts, portfolio analytics, FX conversion, loans, subscriptions, goals, importers, and rules. Users self-host with Docker + PostgreSQL or use the managed cloud
      89
      24
      AGPL 3.0
    • F
      license
      Not graded
      quality
      B
      maintenance
      Self-hosted household finance app for shared expenses, budgets, investments, loans, and zakat, exposing MCP tools for AI agents to manage finances via natural language.
      3
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Cost and expense tracking for solo entrepreneurs, with local-first SQLite storage, natural language interaction, invoicing, budgets, and multi-project tracking, all inside Claude Code.
      42 npm
      1
      MIT
    • F
      license
      B
      quality
      C
      maintenance
      An AI-powered MCP server for personal and group expense management, providing CRUD operations, advanced filtering, analytics, Splitwise-style splitting, budget tracking, and report generation.
      38
      -
    • A
      license
      C
      quality
      D
      maintenance
      Enables tracking, categorizing, and summarizing personal and business expenses with support for date range queries and category grouping.
      3
      MIT