tuskledger-mcp
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- FlicenseNot gradedqualityCmaintenanceConnects AI assistants to a household net worth and portfolio ledger, enabling users to import statements, query assets and liabilities, analyze performance, simulate sales, and preview or undo audited changes.-
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to operate a self-hosted double-entry personal finance ledger: answering spending, net-worth and cash-flow forecast questions, searching transactions, and managing schedules, rules and imports through audited, reversible tools. Read and write access is scoped by token, with privacy controls over what financial details reach the agent.1AGPL 3.0
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- AlicenseBqualityCmaintenanceEnables an agent to query local financial ledgers for expenses, investments, and income, with tools for savings rate, accounts, sync, and reconciliation.18MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access and manage personal financial data from US institutions and manual entries, including transactions, balances, liabilities, and investments.MIT
- AlicenseNot gradedqualityCmaintenanceTurns a personal-finance SQLite database into typed, schema-validated tools that an AI assistant can call directly, letting you manage accounts, transactions, budgets, debts, investments, tax estimates, and goals through natural language.59 npmMIT
TDQS
Scored across 13 tools
Each tool targets a distinct financial domain: holdings vs investment summary vs net worth, and query vs search transactions are clearly differentiated. Descriptions provide clear purpose for each tool.
All tools follow a consistent verb_noun pattern (e.g., get_holdings, list_accounts, run_sync) with clear and predictable naming.
13 tools cover a comprehensive range of personal finance operations without being excessive. Each tool serves a distinct and necessary function.
Covers holdings, investments, net worth, subscriptions, retirement, spending, merchants, bills, accounts, transactions, and sync. Missing budget management or transaction updating, but core data retrieval is well-covered.