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    NEXUS enhances AI coding agents with semantic code indexing, context engineering, change impact analysis, persistent memory, safe execution, and deterministic orchestration through 31 MCP tools.
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    15 npm
    MIT
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    MCP server for the Pawn package index, enabling AI assistants to search and inspect Pawn packages, retrieve repository details, and view ecosystem statistics.
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    MIT
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    Bawbel MCP Server lets any agent scan MCP servers and skill files for security vulnerabilities mid-conversation. Seven tools covering server-card scanning, conformance scoring, rug pull detection, and AVE threat intelligence queries. Powered by the AVE standard with OWASP MCP Top 10 mapping on every finding. Free, Apache 2.0, no API key required.
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    Apache 2.0
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    Search your data exports from Google, Telegram, Spotify, and Instagram in one place. Everything runs on your own computer. Hybrid search and MCP, built in .NET 10
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    MIT
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    A deliberately small MCP server that demonstrates security hardening against the OWASP MCP Top 10 with tools for file search, record queries, and document fetching, each defended against path traversal, SQL injection, and SSRF.
    4
    MIT
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    Google Hotels MCP server via direct RPC — no scraping, no browser automation. Three tools: hotel list search (16 filter slots: stars, price, amenities, brands, free cancellation), per-OTA rate plans and cancellation policies for a single hotel, and parallel top-N enrichment. One-command setup for Claude Code, Codex, and ChatGPT
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    225 PyPI
    12
    MIT
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    Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.
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    5 npm
    MIT
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    An MCP server that protects AI agents and RAG systems from adversarial poisoning attacks like prompt injection, steganography, and data anomalies through multi-layer sanitization, entropy-based detection, and consensus verification.
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    MIT
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    Enables querying the ONS NOMIS labour market and census API from Claude, with tools for dataset discovery, dimension exploration, code resolution, and data fetching while guarding against silent truncation.
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    MIT
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    A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.
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    MIT