Web search, page reading, prices and market data for agents via x402, in USDC on Base or Solana.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.

Secure filesystem MCP server for reading, writing, searching, diffing, and patching files.

Enables MCP clients to read a shared book library from the AI reader’s own position, search full texts, leave margin notes, reply to shared annotations, and review reading status and library overview without moving the human reader’s progress.

Enables AI assistants to look up passages, draw random entries, search teachings by situation or theme, and produce voice-guided readings from books of wisdom such as the Tao Te Ching.

Enables local creation and querying of projects, storage and retrieval of source text, reading and saving storyboard tables with revision-conflict protection, and Excel export through MCP tools backed by SQLite.

Enables AI agents to browse and manage a gThumb image library by reading and writing catalogs, tags, ratings, comments, thumbnails, and search results directly in gThumb’s own data.

Connects AI assistants to Apple Mail, Calendar, and Contacts on a Mac, enabling local search, message reading, contact lookup, and optionally sending email or creating calendar events with guarded confirmation.

Exposes five read-only tools for checking browser status, searching X posts, searching Xiaohongshu notes, and reading Xiaohongshu notes and comments through a locally installed bb-browser CLI. It targets MCP clients such as Codex, though live retrieval remains unverified.

Enables MCP clients to search job listings, read complete job descriptions, manage local search presets and candidate pools, and prepare application or message drafts. Optional session-backed chat reading and human-confirmed single-action execution are also supported.

Enables agents to use ACT-R spreading activation memory, semantic association graphs, and automated memory consolidation via the Model Context Protocol.

Enables AI assistants to search a university library's catalog by keyword, title, author, subject, or ISBN, and to check each copy's real-time availability, floor location, and expected return date. Also provides recommended reading lists, new arrivals, and search-term suggestions, with raw holdings data parsed into readable output.