"Resources for Personal Finance and Budget Management" matching MCP servers:

Local-first personal finance MCP that aggregates bank, brokerage, credit, and loan accounts via Plaid and writes balances, holdings, and transactions to an Obsidian-style markdown vault, with access tokens stored securely in macOS Keychain.

A custom MCP server for orchestrating Windows/Linux/macOS workstations, providing filesystem, shell, SSH, and personal productivity tools with security features like allowlisting and human-in-the-loop approval for writes.

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

A personal MCP server built with Python FastMCP, offering tools for paper retrieval, dataset analysis, project scaffolding, and directory utilities, with stdio and HTTP transport plus optional bearer token authentication.

Enables controlled local Windows file inspection, reading, writing, reversible deletion, restoration, and auditing across user-selected folder roots. Commits occur only after separate owner approval in a native desktop dialog, while the tool cannot bypass OS security controls.

Unified personal assistant MCP server that connects local files, GitHub repositories, YouTube playlists, Gmail, and Steam data. Enables querying and managing personal data across multiple platforms through natural language via LM Studio integration.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

Enables local tracking of personal expenses by adding, listing, summarizing, updating, and deleting expense records stored in a CSV file through an MCP client.

Enables managing personal information with dynamic topic-based organization (tasks, meetings, contacts, etc.), supporting optional OTP authentication and AES-256 encryption for sensitive data with automatic backups.

Enables LibreChat agents to manage per-user private files, persistent documentation, RAG indexing and semantic search, and publish files via secure opaque public links.

It enables MCP-compatible AI clients to run local device, filesystem, shell, PowerShell, Git, browser, HTTP, clipboard and application actions on a Windows PC and a paired Android phone, with session-based device routing. Sensitive operations are gated behind configurable one-use approvals and recorded in a local SQLite audit.

Enables safe, read-only browsing of allowlisted local directories through MCP, providing tools to list roots, read files, and search text.

A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.

Enables integration between Claude AI and Nasuni environments to monitor appliance health, manage volumes and shares, and generate comprehensive infrastructure reports. Users can interact with the Nasuni Management Center through natural language to track performance metrics and summarize system notifications.

Enables AI agents to work with administrator-approved Git repositories on a self-hosted VPS, supporting cloning, file edits, and full Git operations within persistent workspaces.

Enables MCP clients to securely inspect and control registered Windows PCs over a private Tailscale network, with risk-based approvals for actions such as launching apps, capturing screens, managing files, and simulating input.

Enables managing personal notes through natural language, with tools to save, search, list, update, and delete notes via a local LLM and persistent JSON storage.

Safe MCP gateway that lets ChatGPT securely control a Windows Desktop Agent, enabling project file reads, git status/diff, and npm build/test within a designated workspace.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.