"Actual Budget" matching MCP servers:

MCP server for Actual Budget that enables AI agents to read accounts, transactions, categories, and budgets, as well as create and update transactions and transfers.

Bridges AI/LLM applications to Actual Budget, exposing budget data as MCP tools for account listing, transactions, and budget balances.

Provides read-only access to Bifrost quota snapshots through a get_quota tool, returning normalized budget rows and summaries with derived remaining values.

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

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.

Budget Planner AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Provides structured access to Swedish national budget data, including allocations, tax revenue, and fiscal data. Enables queries on budget overviews, expenditure areas, revenue timeseries, and voting results via MCP tools.

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

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.

Enables agents to track real-time token spend and cost velocity, automatically throttle or freeze execution when budgets are exceeded, and enforce sandbox and safety guardrails.

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.

MCP server that evaluates engineering budget Excel workbooks against PER budgets, QS estimates, and historical unit rates, producing structured reports with approval recommendations and enabling follow-up Q&A via AI.

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.

Provides tools for Bazi (Chinese astrology) chart calculation and analysis, enabling LLMs to generate accurate birth charts, determine patterns, and answer follow-up questions based on actual calculations rather than model knowledge.

Provides constraint satisfaction and optimization capabilities to LLMs and AI agents for scheduling, resource allocation, routing, budget optimization, and configuration problems using Google OR-Tools CP-SAT solver.

Serves token-efficient code context for AI coding assistants by exposing Python signatures, call graphs, and budget-packed task context as MCP tools, enabling precise codebase queries without reading entire files.

An MCP server that lets AI assistants discover and retrieve official statistics from SDMX services, returning actual data observations rather than just query URLs.

Enables MCP-capable agents to inspect a local Synthesizer installation, query local grids and APIs, find examples, plot grid spectra, and validate scripts, so answers are grounded in the user's actual environment.

An MCP server that lets Claude plan cycling training in intervals.icu, upload workouts to the calendar, and review planned versus actual outcomes, fitness trends, and power curves.

MCP server for priority-weighted token budget management in multi-agent LLM systems, enabling dynamic reallocation of unused tokens between agents based on priority and current spend.