"Actual Budget" matching MCP servers:

A lightweight MCP server for managing personal finances locally. It allows users to log transactions, view summaries, manage categories, and interact with their budget via any MCP-compatible LLM client.

Enables local-first personal finance management through deterministic tools for importing, categorizing, and analyzing bank transactions.

An MCP server that grounds KQL queries on your actual schema and expertise, helping AI assistants generate validated, accurate queries for Kusto databases.

A Model Context Protocol (MCP) server for interacting with YNAB (You Need A Budget). Provides tools for accessing budget data through MCP-enabled clients like Claude Desktop.

Enables querying Taiwan real-estate actual-price transaction data through MCP tools, including transaction search, market statistics, area listing, and data status, using a local SQLite database.

MCP server to ask research questions about real-world datasets and get actual database records back, with auto-registration and trial credit.

Enables AI assistants to help manage your You Need A Budget (YNAB) finances through comprehensive budget operations. Supports account management, transaction handling, category budgeting, split transactions, scheduled payments, and spending analytics with robust error handling and automatic retry logic.

Governed MySQL + MariaDB DBA operations — slow-query, lock-wait/deadlock, replication, and fragmentation RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Governed Redis + RabbitMQ middleware operations — memory-pressure, latency, backlog, and churn RCA, with guarded queue/key writes, unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Governed PostgreSQL DBA operations — slow-query, bloat, and blocking-lock RCA, index management, vacuum/analyze, and replication lag, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Enables LLMs to create, query, and manage MongoDB-compatible databases using natural language without actual data storage. Uses statistical modeling to generate realistic data on-the-fly from sample documents or descriptions.

Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.

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.

A read-only MCP server that lets Claude query warehouse marts for paid media spend, impressions, clicks, conversions and derived ratios across platforms, campaigns, audiences, formats, and time periods. It also surfaces month-to-date budget pacing against plan and flags campaign-days that deviate from a campaign's own recent history, using allow-listed options and bound parameters rather than model-written SQL.

Enables AI assistants to access and analyze MonarchMoney personal finance data through natural language queries. Provides comprehensive financial insights including account balances, transaction analysis, budget tracking, and spending patterns with enterprise-grade security.

MCP server for accessing and managing Banktivity personal finance data, enabling account, transaction, and budget operations through natural language.

A Message Control Protocol server that provides an interface for managing and querying departmental budget information through a MySQL database.

Enables ChatGPT to read and analyze a self-hosted Qianji ledger through 15 MCP tools exposed over OpenAI's Secure MCP Tunnel, covering login, sync, multi-ledger queries, bill details and filtering, income/expense statistics, budget progress, profile lookup, and CSV/JSON export. Also supports gated create, edit, delete, refund, and reimbursement operations that are permitted only after verification against a user-designated test ledger.

Enables management of the Proflores budgeting system, allowing users to interact with catalogs for clients, projects, and resources. It supports comprehensive budget operations including creation, item updates, and Unit Price Analysis (APU) through a Supabase backend.

Enables adding, listing, searching, and summarizing expenses, with monthly spending summaries and budget status by category, all stored locally in SQLite with amounts in INR.