"Actual Budget" matching MCP servers:

An MCP server that connects Actual Budget to Claude, enabling users to manage budgets, transactions, and spending insights through natural language.

Enables LLMs to interact with a self-hosted Actual Budget instance, providing financial data and management tools with correct financial semantics and no cents math.

A local, read-only stdio MCP server that lets a Grok Build CLI agent check how much of its weekly SuperGrok / Grok Build usage pool is left, when the period resets, and its Extra Usage cap via tools like get_budget. It reads the existing grok login session and returns per-product figures as JSON, mirroring the TUI /usage screen, so agents can pause before expensive work when quota runs low.

Enables a Claude Code agent to fetch remaining 5-hour and weekly subscription usage limits, reset times, and per-window breakdowns as JSON. It provides the same figures as /usage through a local, read-only tool.

An MCP server for advertising estimate analysis that calculates billing, outsourcing costs, net revenue, and margin rate from various currency formats.

Provides a read-only interface to YNAB budget data, allowing AI assistants to inspect budgets, accounts, categories, transactions, and more. Includes an experimental guarded write workflow for category assignments.

MCP server scaffold for budget tooling, currently only provides a placeholder ping tool returning 'pong' to confirm plumbing works. No real budget functionality yet.

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

Budget management and cost tracking MCP server for autonomous agents, enabling budget creation, cost recording, spending projections, and alert rules.

Model-agnostic code memory MCP server using budget-aware graph retrieval for AI agents, providing sub-millisecond queries, token budgeting, and deterministic results without embeddings or vector databases.

Enables auditing MCP servers' tools by their estimated context token cost, ranking verbose names, descriptions, and schemas before they consume the agent window. Can run as an MCP tool so agents can budget their own context.

Enables agents to monitor running loops, estimate token consumption and monetary cost, prune verbose thinking chains near limits, and route sub-tasks between fast/cheap models and deep reasoning engines. It provides budget-aware model routing and telemetry through MCP.

An MCP server that lets Claude operate your real computer by moving the actual mouse, clicking, typing, and reading the actual screen, working with your own logged-in sessions in any application.

Enables agents to plan premium-model tasks with estimated credit budgets, require explicit approval before execution, and inspect itemized usage receipts afterward.

MCP server for estimating LLM token consumption and costs from project documents, code, and materials. Provides 8 tools including project budget planning, token/cost estimation, GitHub repo analysis, and pricing refresh.

An MCP server for Actual Budget that enables AI agents to read and manage budget data, including accounts, transactions, categories, payees, and budget envelopes, via a long-lived engine singleton.

Enables monitoring of running agent loops with token and monetary cost estimation, pruning of verbose thinking chains near limits, and routing sub-tasks between fast/cheap and deep reasoning models. It provides deterministic, MCP-compatible budget optimization for autonomous agents and copilot frameworks.

Tweet scoring using X's actual algorithm weights - 22 signals, 18 filters, 11 tools

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.

Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.