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    A hybrid search MCP that enables users to find coding chunks like RAG without indexing their codebase, without any vector database. World's first context attention MCP. It gives results in below 5 seconds in a repository as big as VS Code.
    MIT
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    Exposes the four Ejentum cognitive harnesses (reasoning, code, anti-deception, memory) as MCP tools any agentic client can call. Drop-in scaffolding that catches LLM failure modes like sycophancy, hallucination, and reasoning shortcuts.
    4
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    14
    MIT
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    MCP server that delivers cross-platform identity and visual styling for AI agents — one bling.json, many surfaces (Claude Code, Claude Desktop, terminal, web, Slack, Discord, IDE). Includes WOW (Weird Office Workers), a random-identity generator with 13 weighted trait pools (465 entries), five rarity tiers calibrated against a 10k-roll empirical distribution, and HOMUNCULUS-framed share
    5
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    MIT
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    Enables LLM assistants like Claude to interact with Zaif cryptocurrency exchange through natural language, supporting market information retrieval, chart data, trading, and account management for BTC/JPY, ETH/JPY, and XYM/JPY pairs.
    9
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    AI agent provenance, trust, and auditability layer. VERITAS multi-gate scoring, Cortex approval gates, S.E.A.L. hash-chain audit ledger, and semantic RAG with cryptographic provenance tracking for every decision an agent makes.
    27
    5
    MIT