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    MCP server for polygenic risk score analysis, wrapping just-prs to enable catalog search, PRS computation, VCF normalization, percentile and risk estimation, and quality assessment.
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    DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for
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    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
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    More than just a fully featured MCP server that lets AI agents manage Docker — containers, images, networks, volumes, swarm services, secrets, configs, nodes, plugins, etc., it helps you create workflows to easily manage your Docker environments.
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    Anonymize PII and redact text for GDPR using real NLP, not just regex. Czech-first, built on ÚFAL/LINDAT (MasKIT + NameTag NER) with 80+ PII patterns. Also multilingual NER across 35+ languages, morphology (UDPipe), machine translation, and spellcheck. 6 tools. Non-commercial use only. Install: pip install anonymize-mcp
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    A production-style MCP server that lets Claude Desktop search your local documents using TF-IDF keyword search. No heavy frameworks, just plain Python and the official MCP SDK.
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    More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.
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    Document-engineering MCP tool server providing tools for PDF, Office, Images, and Archives extraction and conversion. It never mutates source files and requires local tesseract for OCR.
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    A production-grade persistent memory service for AI agents. Agents forget everything between sessions by default — memex fixes that. It stores, retrieves, and ranks conversation memory using semantic search with recency decay, so agents surface what's relevant and recent, not just what's semantically closest.
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    Search and read arXiv papers directly from Claude. Supports keyword, author, category, and date filtering plus full PDF text extraction so Claude can read, summarise, and reason over entire papers, not just abstracts.
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    MIT
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    An MCP server that lets AI agents read and manage Telegram Ads campaigns, including listing accounts and ads, reading stats and budgets, and creating/updating ads, CPM, status, and budget by driving the real ads.telegram.org web UI through Playwright with a reused cookie-based login session.
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    An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks" who can actually research and get different perspectives!
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    A lightweight, self-hosted MCP server that connects LLM-based agents to Red Hat Lightspeed services, enabling natural language querying of read-only (and optionally write) operations across Advisor, Image Builder, Inventory, Planning, Remediations, and Vulnerability services.
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    Apache 2.0
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    A Python MCP server that retrieves and caches BigQuery metadata (datasets, tables, columns) and enables secure SQL query execution with cost control, file export, and keyword search.
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    MIT