"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.

Provides real-time documentation retrieval for coding agents, answering implementation questions with compact, cited context assembled from developer documentation and live web search via a single MCP context tool.

Enables AI agents to query and recall your entire Gmail inbox locally, providing fast summarization and semantic search without relying on Gmail's search API.

Governed knowledge base for AI agents via the Model Context Protocol (MCP), enabling agents to search, read, and contribute persisted knowledge with versioning, audit trails, and approval workflows.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.

A read-only MCP server for E-Hentai and ExHentai, enabling gallery search, metadata retrieval, similar-gallery lookup, tag resolution, and authenticated favorites/archive access.

Provides access to EPA's Air Quality System API with 31 tools for querying air quality data, monitoring sites, and pollution measurements across the United States through natural language.

A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup

Provides natural language access to over 100 years of historical market index data, including S\&P 500, NASDAQ 100, and Nikkei 225. It enables users to query price ranges, compare symbol performance, and analyze historical market trends directly within Claude.

A local-first semantic search server for documents, supporting PDFs, Office files, and text/markdown, enabling natural language search via the Model Context Protocol (MCP).

Enables indexing and semantic search of software project files via MCP, with automatic file watching for updates.

Provides worktree-aware semantic code indexing and search via MCP, enabling agents to query indexed code and monitor indexing status while keeping lifecycle operations separate.

Local-first code indexer that provides deep code understanding for Claude and other LLMs with symbol/text search across 48+ languages, semantic search capabilities, and real-time index updates through the Model Context Protocol.

A Python MCP server for indexing projects using embeddings, providing semantic search to help AI agents navigate codebases.

An MCP server for fast local source code searching using Zoekt, enabling regex and substring queries across indexed directories.

Enables users to search and discover over 500 AI agent endpoints and x402 APIs directly from MCP-compatible clients like Claude and Cursor. It provides tools to query endpoints by keyword, category, or capability while offering access to detailed provider statistics.

Provides semantic search capability over Obsidian vaults and exposes recent notes as resources to Claude through the MCP protocol.

Enables AI agents to search millions of podcasts, read and search episode transcripts with timestamps and speakers, and access chapters, soundbites, Podcasting 2.0 tags, value-for-value data, feed health, and index statistics through 36 tools.

Wraps the Podcast Index API (podcastindex.org) to enable AI agents to search and retrieve podcast episodes and metadata.