"Information on Air Quality Index (AQI)" matching MCP servers:

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 agents to search any local folder through a private SQLite FTS5 index that extracts text from PDFs, Office documents, plain text, code and zip listings, returning ranked matches instead of slow ls/grep scans. It also supports metadata and glob listing, paged retrieval of already-extracted text, duplicate detection, and incremental background re-indexing with secrets and caches excluded by default.

Enables local incremental indexing of document folders with offline Cyrillic OCR on CPU, exposing tools to start or cancel indexing, check status, and read page or document transcripts.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

A read-only remote MCP server that searches and reads files from a personal Microsoft OneDrive folder via Cloudflare Workers, enabling live access without a local workstation or tunnel.

Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Gives ChatGPT hands-on control of a local machine: reading, patching and executing code in approved project folders, running real interactive processes, managing plans and worker sub-chats, and driving the browser or desktop through user-granted permissions. Every capability is a switch inside an approved-folder sandbox, so nothing runs that the user did not explicitly enable.

Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.

Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.

A local MCP server that gives Claude in the browser tools to interact with a Fedora machine, including file operations, system diagnostics, build tasks, and root actions via Polkit.

stdio server to read markdown with images or index markdown headings from a file, folder or URL

Local MCP server for searching a voidtools Everything 1.5a index from Codex, Claude, and other MCP clients.

Maintains a self-updating JSON index of repository files, functions, and descriptions so agents can query relevant files instead of grepping the tree.

Enables AI agents to find local files by meaning rather than exact filename, across Korean and English queries, using a fully local multilingual embedding index on top of voidtools Everything. It also diagnoses and repairs misconfigured Everything settings that cause hangs, with no es.exe or SDK DLL required.

Ultra-lightweight MCP server that exposes Voidtools Everything's blazing-fast file search to AI agents on Windows. Provides tools for searching, counting, and health checking via Everything's NTFS index.

LLM-native code tools: 44 MCP tools for AI agents to read, understand and modify code. Rust tree-sitter parse daemon (crash-isolated), SQLite symbol index (repo map 98ms), transactional journal-backed writes, deterministic quality gates (zero LLM calls). 512MB cgroup: 128 concurrent, zero OOM. MIT.

Enables read-only search and retrieval of your email across multiple IMAP accounts through a local notmuch index, served over authenticated HTTP for MCP clients like Claude or Codex.

A local MCP server for Cursor that converts Markdown files and Mermaid diagrams to JPEG images with configurable dimensions and quality.

Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.

Enables MCP clients to securely access authorized computers and VPSs for scoped file operations, Git operations, and administrator-defined quality gates through an outbound-polling gateway.

Enables agent clients to index and organize local media libraries by recognizing codes from filenames, querying media, checking library quality, adding files, fetching metadata, and scanning directories, with deletion gated by verified magnet links.

Enables AI agents to search whole NTFS volumes by filename without any background GUI, parsing the $MFT directly and refreshing results from the USN Journal on demand. Supports an Everything-compatible query subset (boolean, path:, ext:, size:, date and regex filters), plus index status and full rebuild tools.

This server is to precess files for LNR.

Exposes the local voidtools Everything index over MCP stdio on Windows, letting AI agents search, filter, aggregate, detect duplicates and grep file contents across millions of index entries in milliseconds instead of recursively scanning disks. It provides 13 tools and 3 resources, running loopback-only and read-only by default.

A Model Context Protocol server that provides tools for converting SVG code to high-quality PNG and JPG images with detailed customization options.

Enables language models to run data-quality checks and profiling on local files, using dbt-style assertions like not_null, unique, relationships, and accepted_values.

Enables reading, writing, and searching a local markdown-based memory store using MCP tools, with safety checks and index consistency.

Enables MCP clients and AI agents to read and query semantic PMI/GD&T from local STEP AP242 files, including characteristic lists, datum reference frames, per-face tolerances, data-quality warnings, and exports to CSV, JSON, or ballooned PDF reports.