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    Unified MCP server for searching, analyzing, and managing packages across npm, JSR, Deno, and multiple CDN providers with auto-detection.
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    MIT
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    Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.
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    5
    Apache 2.0
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    An MCP server providing access to Sveriges Radio's P3 channel music playlists, including real-time tracks and historical data. It enables AI assistants to fetch current songs and search the last 90 days of playlist history by date or artist.
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    MIT
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    Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.
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    Apache 2.0
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    A local MCP server that scans repository dependencies for known vulnerabilities (CVEs) using OSV.dev, enriches findings with NVD and CISA KEV data, and supports triage, remediation, and accepted risk management directly from an AI coding assistant.
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    MIT
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    A Model Context Protocol (MCP) server for PostgreSQL that provides safe, structured access to your database for AI assistants, enabling health checks, index tuning, lock analysis, and more.
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    MIT
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    Integrates the Serpstat SEO API with the Model Context Protocol to provide AI assistants with comprehensive data for domain analysis, keyword research, and competitor tracking. It enables users to perform complex SEO tasks like backlink analysis and site audits through natural language interfaces.
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    MIT
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    A read-only MCP server that provides searchable access to the Shelby documentation bundle for MCP-compatible clients. It enables users to search, list, and read documentation pages directly within AI tools and IDEs.
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    MIT
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    Enables AI assistants to search and browse Jira Service Management Assets data using AQL queries, schema exploration, and hierarchical object searches. It features robust automatic pagination to ensure reliable retrieval of complete asset datasets.
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    A Model Context Protocol server that enables AI assistants to interact with MongoDB Atlas resources through natural language, supporting database operations and Atlas management functions.
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    Apache 2.0
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    Enables AI assistants to interact with the Nimble REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
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    568
    Apache 2.0