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    An advanced integration package that leverages OpenRouter and Perplexity APIs to provide enhanced web search capabilities, offering both simple and complex query processing with file attachment support.
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    MIT
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    Provides a code search service via MCP, allowing AI clients to perform fast, indexed searches across large codebases using Zoekt, with support for filters like repository, language, and path.
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    A persistent memory MCP server for AI assistants, storing and retrieving notes using local JSONL files with BM25 search.
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    MIT
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    A Model Context Protocol server for querying and reading articles from a how-to documentation portal, with search and retrieval tools scoped to the token's user permissions.
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    Apache 2.0
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    Enables fast, low-token code search for AI coding agents via a local BM25 engine built on SQLite FTS5, with support for camelCase, snake_case, and Japanese text. Provides a stateless MCP stdio server and a Hermes adapter for multi-agent environments.
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    MIT
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    Enables semantic search over codebases using natural language queries, returning relevant code snippets with source locations. Integrates with Claude Code for automatic codebase exploration.
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    MIT
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    Searches Claude Code documentation via BM25 indexing, returning ranked snippets with category filtering. Enables fast, local search over official docs without full-document scans.
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    An MCP server that enables users to retrieve, filter, and search through Claude Code conversation history stored in local projects. It provides tools for listing projects and sessions, paginating through message history, and searching across conversations with keyword filtering.
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    MIT
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    Enables AI assistants to search flights and hotels, access AI-powered price forecasts, set price alerts, and initiate travel bookings through the Hopper platform. It provides real-time pricing and booking management capabilities directly within the Model Context Protocol.
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    MIT
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    A local-first document retrieval engine that mounts as an MCP tool for agents to index files, search for relevant passages, and let the agent's own LLM answer.
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    A semantic code context server that connects your local repository to AI assistants via the Model Context Protocol, enabling dynamic codebase exploration without copy-pasting.
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    MIT
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    Provides access to Japanese statistical standard area codes (標準地域コード) from official government data, enabling users to list and search area codes by prefecture or municipality name.
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    Apache 2.0
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    Connects to vibe-code-best-practices.vercel.app to index 817 tools across 185 sections and 10 domains, routes the right tool/Skill for your project need, and can recommend a full stack.
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    MIT
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    Provides tools for searching Sam's Club products, locating warehouse clubs, and accessing membership information using realistic mock data. It enables AI assistants to interact with product catalogs and store services for development and testing purposes.
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