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Log expenses locally and review budget summaries through MCP-compatible AI clients.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "budget-mcp" yet — see the docs or source repo.
Please log a transaction: lunch cost 38 CNY today, category dining, note: lunch with coworkers.
A new expense entry is created and saved with the given amount, category, and note.
Please summarize my income and expenses for this month, show total spending by category, and tell me how my balance changed.
Returns a monthly budget overview with income, expenses, category totals, and balance changes.
Please list my current budget categories and add two new categories: Pet and Subscription Services.
Shows existing categories and creates new ones for future transaction logging.
Individuals can log daily income and expenses through an MCP-compatible LLM client, reducing manual bookkeeping steps. It suits people who want to manage a local ledger in natural language.
When users want to understand where their money went this month, they can view budget summaries and category totals. This makes it easier to identify major spending areas and adjust habits.
Users who already use an MCP-compatible AI client can add budget management to the same workflow, handling logging, summaries, and category management in one conversation. The focus is local handling of personal finance data.
It is a lightweight MCP server for managing personal finances locally. It supports logging transactions, viewing summaries, managing categories, and interacting through any MCP-compatible LLM client.
Based on the description, you need an MCP-compatible LLM client to interact with it. Other installation, runtime, or configuration details are not provided; see the source repository.
The description explicitly says it manages personal finances locally. The provided material does not specify the exact storage method or data structure; see the source repository.
Connect to Actual Budget for natural-language budgeting, transaction logging, and spending analysis.
Enable AI agents to read and manage Actual Budget financial data.
Capture daily expenses and classify them through an MCP finance server.
Create budgets, track spending, and get actionable financial planning suggestions.
Manage agent budgets, track costs, forecast spending, and configure alerts.
Query budget periods, categories, accounts, and summaries from a budget analytics API.