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"Tools or methods to help determine a technology stack" matching MCP servers:

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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Last updated
    Apache 2.0
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    Provides live access to TutorCruncher and Bobbin product documentation via Intercom and GitHub, enabling Claude to search and retrieve help articles and API docs on demand.
    Last updated
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    An MCP server providing 82 tools for persistent memory, governance, and consciousness continuity for AI instances. Enables local-first, runtime-reflexive operation with cross-device access and recursive self-awareness.
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    Provides LLMs with tools to search Stack Overflow for programming solutions, helping ground responses in real-world code examples.
    Last updated
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    Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting
    Last updated
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    MIT
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    An offline-first MCP server for Indian financial, tax, and government APIs, providing tools for identity validation (PAN, Aadhaar, GSTIN), tax calculations (Income Tax, TDS, GST), and master data lookups (IFSC, Pincode, HSN/SAC) with zero authentication required.
    Last updated
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    MIT
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    The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.
    Last updated
    MIT
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    Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.
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    4
    Apache 2.0
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    A Model Context Protocol server that exposes Sonarr, Radarr, Lidarr, and Jellyfin to any MCP client through a curated tool layer for LLM consumption.
    Last updated
    MIT
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    21
    MIT
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    An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.
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    MIT
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    MCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.
    Last updated
    MIT