367 boosters for "search" — open source, verified from GitHub, ready to install
"description": "Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explo
"name": "@aashari/mcp-server-atlassian-confluence", "description": "Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases us
"name": "codebase-context", "description": "Pre-maps your codebase architecture, conventions, and team memory so AI agents navigate with precision instead of exploring. Local-first MCP server with AST-backed hybrid search.", "main": "./dist/lib.js",
Pipeline for downloading academic paper full-text at scale. Handles the three classes of sources that exist in 2026: 1. Publisher TDM APIs (Elsevier / Wiley / Springer) — for paywalled content where the institution has a subscription 2. OA aggregators (Unpaywall / OpenAlex / Crossref) — for Open Acc
Turn social media paper recommendations into actionable research items. Use platform-specific tools to fetch the full content: From the extracted content, identify all referenced papers:
Systematic, multi-engine academic paper search. Choose engines based on the search goal: Before searching, clarify:
Systematic literature survey for positioning a research contribution. Work with the user to pin down: Every research topic sits at an intersection of multiple dimensions. Identify 2-4 axes:
Systematic management of an academic literature library via Zotero. Standard collection hierarchy: Use tags to cross-cut the collection hierarchy:
"description": "LLM-powered personal wiki — autonomous knowledge base with research-on-miss, ingestion, search, a browsable web UI, and universal data gravity. Saves and retrieves knowledge automatically whenever relevant.", "repository": "https://github.com/Oshayr/llm-wiki", "agents/backlink-manage
"name": "apple-notes-mcp", "description": "MCP server for Apple Notes - create, search, update, and manage notes via Claude and Codex", "main": "build/index.js",
"name": "apple-notes", "description": "Manage Apple Notes through natural language - create, search, read, update, delete, and organize notes and folders (macOS only)", "name": "Rob Sweet",
"name": "claude-mem-lite", "description": "Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. A lighter, lower-cost alternative to claude-me
Turn a folder of raw files into a Markdown vault that an LLM can grep, and then answer questions over that vault responsibly. source file, carrying retrieval frontmatter (abstract / tags / synonyms) + a
"name": "scrapbox-cosense", "description": "Scrapbox/Cosense integration - read, search, create, and edit wiki pages", "repository": "https://github.com/worldnine/scrapbox-cosense-mcp",
<!-- Bilingual skill: this SKILL.md is the English primary; the Chinese mirror is SKILL.zh.md. Each references/.md has a Chinese mirror references/.zh.md (same content, two languages). The .md files are authoritative for the agent; the .zh.md files are for human readers. -->
Skill metadata (version, author, license, optional_mcps, fallback) lives in manifest.json and plugin.json. Claude Code only reads and from this frontmatter; extra keys are silently ignored, so they belong with
MCP server for Kagi Search API (beta) integration
This skill packages everything needed to build a panel that reads prediction-market probabilities from Polymarket + Kalshi (both public, read-only, no account) and presents them as a macro sentiment thermometer grouped by module.
"name": "bulk-summarize", "description": "Media research assistant for bulk video and podcast summarization across YouTube, Apple Podcasts, Spotify, and other platforms", "repository": "https://github.com/scottlepp/bulk-summarize"
For best results, use GPT-5.3 Codex or Gemini 3.0 Pro. Build every interface with senior-level craft, intent, and consistency. Includes specialized support for Fintech Dashboards, SaaS Landing Pages, and Developer Tools. 1. — direction selection and example systems
Use this skill to turn any content into professional visualization specs with strategy-consulting clarity: insight-led headlines, disciplined layout, accurate data, restrained design, and explicit implications. It covers board slides first, and generalizes to reports, proposals, training materials,
"description": "Look up the public API of any JVM dependency (Scala 3, Scala 2, Java) from the terminal", "repository": "https://github.com/virtuslab/cellar", "license": "MPL-2.0"
"name": "apple-mail", "description": "Manage Apple Mail through natural language - read, search, send, and organize emails (macOS only)", "name": "Rob Sweet",
