"A calculation query multiplying 198766 by 667891" matching MCP servers:

Enables AI tools to understand a database, inspect schema, and run safe SELECT queries with SQL guardrails, plus optional codebase reading.

Works out a health plan from your own record: which screening is due and evidence-based suggestions with citations. Reads and writes one health-roadmap.json file on your machine; nothing is sent to a server.

Mac file and terminal tools for local AI clients, plus an opt-in ChatGPT Developer Mode relay. Checked edits, bounded reads and real exit codes. Free MIT agent; OpenAI listing under review. Owner-level access, not a sandbox.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

MCP server for creating and reading Word (.docx) documents with rich formatting support.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

A modular MCP server suite that provides core tools, long-term memory, knowledge RAG, skills registry, and external integrations for AI agents.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables interaction with the WhkerDB shared PDF editor to manage collaborative rooms, file structures, and real-time annotations. It allows users to upload PDFs and images, manage note trees, and sync data across platforms through natural language.

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.

Enables AI assistants to query and export from the macOS Apple Photos library using natural language, backed by osxphotos.

locidx

Local case-file manager for your own legal matters under German law: documents, parties, timeline, tasks and deadline calculation per §§ 187, 188, 193 BGB. Runs offline with the Python standard library only; write tools act only after explicit user confirmation.

Enables AI assistants to query a Synology NAS through MCP for system health, storage, network, packages, power, Cloud Sync, scheduled tasks, logs, notifications, and files, with read-only access by default and optional write permission for Cloud Sync controls.

Enables an LLM to search arXiv by free-text query and download specific papers as PDFs through MCP tools.

Enables AI clients to create, inspect, edit, analyze, review, and finalize Word, Excel, and PowerPoint files, with optional native Windows Office automation for full-fidelity editing, calculation, rendering, PDF export, and visual review.

An MCP server for manipulating Excel files that features a headless engine for real-time formula calculation and data validation. It enables users to create, read, and manage workbooks, sheets, and charts without requiring Microsoft Excel installed.

An MCP server providing an append-only, hash-chained evidence ledger for agent actions, where every record is a tamper-evident receipt cryptographically bound to all prior records and persisted as human-readable JSONL local state. It exposes tools to append records, verify chain integrity (pinpointing tampering), query records by actor/action/target/time, and fetch ledger stats—with no update or delete capabilities by design.

Provides file reading and mathematical calculation tools through the Model Context Protocol. Enables reading file contents and evaluating mathematical expressions via stdio transport.