243 boosters for "search" — AI-graded, open source, ready to install
agentMemory provides AI agents with a persistent, searchable knowledge management system that syncs with project documentation, enabling developers to build agents with contextual memory and decision tracking across sessions.
An MCP server that integrates Google Programmable Search Engine (PSE) with Claude, enabling AI to perform web searches within custom search engines. Developers and researchers benefit from seamless search integration in AI applications.
This MCP server integrates Google Trends API data into Claude, enabling access to trending topics, questions, and search data. It's useful for researchers, content creators, marketers, and developers who need real-time trend intelligence.
An MCP server that enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, medRxiv, and Google Scholar. Ideal for researchers, students, and developers who need programmatic access to academic literature.
This booster integrates Perplexity's Sonar Pro web search capability into Claude and other AI assistants, enabling them to perform real-time internet searches. Developers building AI applications that need current web information will find this particularly valuable.
Parallel Task MCP is an MCP server designed to enable deep research and parallel task execution within Claude-based environments. It benefits developers and researchers who need to coordinate multiple concurrent tasks or investigations.
A GEO (search engine optimization) pipeline booster that analyzes, ranks, rewrites, and generates schema markup for URLs and content to improve search visibility. Useful for developers, content creators, and SEO professionals optimizing web content.
A development guide for extending PatientHub with new patient simulation agents, enabling researchers and developers to implement custom behavioral models for healthcare simulations.
This MCP server bridges GitHub-hosted Obsidian vaults with AI assistants, enabling seamless access, search, and analysis of your personal knowledge base. It's ideal for developers and knowledge workers who want to leverage AI for querying and interacting with their Obsidian notes directly.
Heuristic scoring (no AI key configured).
A unified MCP integration for Feishu (Lark) that enables AI agents to create/edit documents, manage tables, insert charts, and search knowledge bases across multiple Feishu APIs. Useful for developers building AI workflows that need deep Feishu workspace integration.
This skill enables Claude to search a user's local Zotero library and discover related papers via Semantic Scholar, ideal for researchers and academics managing literature collections. It requires a local Zotero instance and works exclusively in Claude Code environments.
This MCP server provides structured access to Lenny Rachitsky podcast transcripts, enabling content creators to programmatically search, retrieve, and integrate podcast content into their workflows.
Grantmanship MCP Server enables AI models to search and discover grants through Claude Desktop and Claude Code. It's useful for researchers, nonprofit organizations, and grant writers seeking funding opportunities.
Codeweaver enables AI agents to perform semantic code search across 166+ languages with hybrid search capabilities, working offline for efficient code discovery and generation. Developers and AI automation engineers benefit from faster code retrieval and context-aware development workflows.
Codeweaver enables AI agents to perform semantic code search across 166+ programming languages with offline capability and hybrid search—ideal for developers building code-aware automation and AI-driven development tools.
DermaSwarm is a multi-agent AI system that assists dermatologists in diagnosing and treating skin conditions by cross-referencing peer-reviewed research and generating structured treatment plans. It's designed for healthcare professionals seeking evidence-based dermatological decision support.
A physics-focused MCP server that orchestrates computational tools (CAS, plotting, natural language inference) to help physicists and students solve complex equations, visualize results, and understand physics concepts. Ideal for educators, researchers, and learners working with quantum mechanics and classical physics problems.
ArmBench-LLM is a system prompt framework for evaluating large language models on Armenian language tasks through structured multiple-choice questions. It's designed for developers and AI researchers who need standardized benchmarking tools across popular coding assistants and chat platforms.
A migration guide for transitioning from deprecated hardcoded agents to a dynamic ConfigurableAgent system in a Rust-based agentic chatbot server. Developers maintaining or upgrading agent-based systems benefit from clear configuration patterns and best practices for multi-provider LLM setups.
This booster enables AI agents to retrieve and summarize Zendesk ticket history and customer context, helping support teams provide informed, contextual responses without manual ticket searching.
A debate judge agent that objectively evaluates arguments using zero-sum scoring across Toulmin structure, evidence strength, and logical rigor. Ideal for researchers, educators, and developers building computational debate systems.
A skill booster that enables Claude Code to query the Exa search API through the MCP server, allowing developers to integrate web search capabilities into their coding workflows.
