"A search for information related to 'Astro'" matching MCP servers:

Enables AI models to interact with Astro projects by providing runtime information, documentation search, route listing, and integration details.

Python/stdio MCP connector providing timestamped crypto intelligence for ten assets: prediction-market intelligence, market regimes, sentiment, funding, liquidity, asset rankings, and component-score explanations. Public access without signup, API keys, or trial activation; no trade execution.

An MCP server that provides AI assistants with access to Astro documentation, enabling them to search and reference Astro docs when helping users with Astro-related tasks.

Enables astronomy research by orchestrating specialized agents to access astronomical data tools (DESI, LSST, etc.) and perform analysis, simulations, and literature review.

Resolves a UI element hash from an Astro dev server to its source file, line, and column, enabling AI agents to edit the exact code.

An MCP server that enables agents to evaluate LLMs daily through capability benchmarks and value alignment tests, providing tools to list models, get almanac, judge dilemmas, match user values, and score models.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables access to Astro's App Store Optimization (ASO) database for analyzing app rankings, keyword trends, historical performance data, and app ratings. Provides comprehensive tools for tracking and comparing app store performance metrics through natural language queries.

A personal astrological server that provides high-precision tools for generating natal charts, transits, and relationship charts using a queryable SQLite database. It enables users to manage multiple profiles, track historical transits, and perform electional astrology for planning events.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.