"A calculation evaluating the expression 9999519 plus 9999490" matching MCP servers:

Enables AI clients to control local Windows development tools by exposing project files, code search, file editing, test execution, Git operations, and resource viewing through a secure MCP interface with permission controls.

Enables searching and reading a private local library of licensed components and template source files through read-only MCP tools for browsing categories, templates, components, and dependencies.

Enables AI assistants to search and download music from the Soulseek peer-to-peer network via Nicotine+, with smart ranking of results by audio quality and peer speed, bulk automation, and real-time transfer monitoring.

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.

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

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 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.

A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.

Compress, merge, split, OCR and convert PDFs (Word, Office, images, webpages) on local files, plus password protect and unlock, through the Papyrio API. Works without a key on a free guest tier; an optional RapidAPI key raises the limit.

A personal file-indexing MCP server that provides semantic and keyword search over a file index, plus file content lookup and browsing. It enables agents to search and retrieve files from a user's home directory.

Enables AI apps to edit PDFs on the local machine through natural language, merging, splitting, extracting, rotating, deleting, reordering and duplicating pages, plus inspecting page counts and encryption status. All work runs locally with no uploads, and every operation writes a new file beside the untouched original.

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Invoice numberer stamps a correlative number (F-0001, F-0002…) on every page of each PDF invoice in a batch and writes numbered copies to a new folder. The originals are not modified. It runs on your computer as a local process and never uses the network. The LLM passes file paths, not contents, and gets back only the list of generated files. Same options as the web app, plus dry_run.

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 MCP clients to browse, search, download, and upload files in a NAVER MYBOX drive, plus inspect storage quota and create folders, all paced under the documented API rate limits. Read-and-write only: file deletion and trash management are deliberately not exposed.

Enables AI assistants to analyze a local bank statement CSV through seven tools covering spending by category, top merchants, recurring subscriptions, unusual or duplicate charges, end-of-month forecasts, and transaction search, plus a monthly review prompt. CSV files stay on the user's machine, with only aggregated results and matched transactions exposed to the assistant.

Enables AI agents to inspect, read, create, format, edit, validate and convert DOCX, XLSX, PPTX and PDF documents through standard OOXML manipulation plus a locally installed R7 converter, without emulating mouse or keyboard input. It also optionally bridges to a document the user has open in R7-Office Desktop over loopback WebSocket.