"Information about the number 555" matching MCP servers:

Read-only, masked views of a local US tax workspace: the documents, each form's checks and the to-do list. Every answer is masked (digits and names hidden), so a cloud agent never sees an amount, name or account number.

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

Reads the Reddit and Hacker News threads you exported with the Comment Scraper browser extension, so your agent can list, read, search and quote them by comment number. Local and read-only.

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.

Enables AI agents to securely read and extract information from PDF files including text content, metadata, and page counts from both local files and URLs within the project context.

Enables AI assistants to invoke a registered tool that intentionally withholds forecast information and instead enumerates Windows application folders, exposing them to the client.

A read-only MCP server that lets local AI agents inspect open Mac windows, browser tabs, PDFs, clipboard contents, Finder selections, and Messages history so they can answer questions about what the user is currently viewing.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

Enables natural-language queries about disk usage by driving WizTree scans and analyzing cached CSV snapshots. Users can find large files, duplicate data, folder breakdowns, and more without repeatedly rescanning the disk.

Enables MCP clients to read bounded workspace files, validate exact replacement plans for the VS Code extension, and check recent typing progress without modifying source or running shell commands.

Enables AI agents to create, read, view, and edit Apple Numbers spreadsheets through the Model Context Protocol, leveraging both a parser engine and the Numbers application for formula evaluation and export.

Enables Codex to locate QQ groups by name or number and search group file directories and recent chat attachments by filename, then download selected files through a locally deployed NapCat instance, returning paths, sizes, and SHA-256 hashes.

Converts CAD drawings (DXF/DWG) into structured data, enabling Claude to read drawings and answer questions about their content.

A TypeScript MCP server example providing basic developer tools: hello world greeting, arithmetic calculator, and file information retrieval.

Enables coding agents and human reviewers to share a single live view of code, letting the agent open and annotate specific lines while the human marks ranges to ask about, all without any write access to the underlying files.

Enables AI agents and MCP clients to query, total, and explain local CSV bank exports deterministically, with exact decimal arithmetic and row-level provenance behind every number.

Connects AI assistants and IDEs such as Claude Desktop, Claude Code, Cursor, Windsurf and Codex to a local long-term memory store of plain-text .dai files on disk. Enables saving and recalling conversation history through the save_memory and recall_memory tools, with the store readable by any model, editor, or grep and using about a tenth of the tokens.

Enables an AI agent to list, read, and search local meeting transcript files, returning structured transcript information and search hits. The server enforces read-only access confined to a transcripts directory with .txt and .md files only.

Enables interaction with the local file system and retrieval of system information. Provides tools for listing directories, reading files, getting current time, and basic greeting functionality.

Enables Claude to perform file operations, retrieve system information, run calculations, and generate timestamps on the local system.

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.

A FastAPI server implementing the Model Context Protocol (MCP) for structured tool use, providing utility tools including random number generation, image generation via Azure OpenAI DALL-E, and AI podcast generation.

An MCP server for GitHub Copilot that enables reading and processing Excel workbooks (.xlsx) via Docker Compose. Users can extract data from entire workbooks or specific sheets by name or index, returning the information in JSON format.

Enables orchestrating models to delegate reading and answering questions about local files to a local LLM, avoiding sending file contents through the orchestrator's context.

Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.

MCP server for the mGBA Game Boy Advance emulator. Read and write GBA memory, inject button presses, take screenshots, save/load state, and step the emulator through a Lua bridge.

Deterministic file operations for AI agents: 40 operations over plain HTTPS. PDF merge, split, redact, sanitize, OCR, Office and PDF to Markdown, RAG chunking, charts, QR codes, C2PA AI labelling. find_tool suggests the right one. $0.01 per operation, 100 free, no signup, credits never expire.

Enables reading, searching, editing, and writing files in legacy encodings such as GBK, Big5, Shift-JIS, and Windows codepages, with automatic detection and preservation of the original encoding.

Enables MCP-capable LLM clients to read browser screenshots captured by the SnapStack extension, stored locally and served over Streamable HTTP.