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    Security analysis for Python codebases through the guard-core engine: SecurityConfig validation that catches keys pydantic silently drops, docs search over the vendored corpus, live detection probing, and verified setup guidance for Python, Typescript, Rust, PHP and Go adapters.
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    190 PyPI
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    MIT
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    Scans websites to evaluate agent-readiness and produce an ASO Score Report across 34 signals, helping improve discoverability, trust, and interoperability for AI agents.
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    Provides coding agents with file inventory, ranked search, location-aware reading, code packing, and note writing over the workspace folder through MCP, without involving a model.
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    249 PyPI
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    Local-first operator MCP server: recall across your own sessions, chats and files, an encrypted vault, SSH to your own hosts, and gated shell, browser and device tools. 130 tools over stdio or HTTP; everything runs on your machine — no hosted service, no account, no API key.
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    672 PyPI
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    Apache 2.0
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    MCP server for agent-readiness auditing of websites, providing tools to audit URLs, bulk audit up to 50 URLs, compare multiple URLs, and fetch a leaderboard of top agent-ready sites.
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    30 PyPI
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    The Diagrams.so MCP server enables generating, editing, and managing cloud architecture diagrams from any MCP client, wrapping the public Diagrams.so API.
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    Apache 2.0
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    Experimental Python MCP server exposing traceguard_shield_exec to evaluate proposed tool calls through an authorization hook. Returns approval or rejection messages over stdio; it does not execute the requested tools.
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    Enables scoring a local markdown documentation file out of 100 across categories like title, install, usage, license, badges, structure, and relative link resolution, with letter grades and a concrete list of fixes. It works on local files only, providing a heuristic checklist of documentation completeness rather than judging code quality, security, or SEO.
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    Run local AI across all your computers. Toskar's MCP server lets Claude, Cursor, and other clients ask your own local models and search your connected knowledge, with nothing leaving your machines.
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    Local MCP server for specialist personas, reusable Markdown workflows, task-scoped subagent contracts and per-repository memory. Runs on your own computer with Python 3.11+ and a locally installed embedding model; its Claude Code plugin launches that separate installation.
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    Storelift's MCP server lets Claude, ChatGPT, Cursor or any MCP client read your App Store and Google Play keyword ranks, rivals, reviews, store pages, charts and AI visibility from your Storelift workspace. The remote server is included on every plan, including Free (1 app, 25 keywords in each of 2 storefronts, no end date); the local server and public API come with Pro and Studio.
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    Enables canonical social content packages to be ingested, adapted into platform-native variants with classified diffs, and bound to hash-verified owner approvals. It also evaluates engagement policy, tracks accounts and kill switches, and records hash-chained receipts without performing platform actions or network calls.
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    Local-first, cross-agent memory layer for Hermes, OpenClaw, and Claude Code (MCP) behind a single REST API. Hybrid BM25+pgvector+RRF retrieval with optional Qwen3 rerank, a three-stage "dream" consolidation cycle (Light → REM → Deep) that clusters and de-dupes daily memories into durable knowledge with a narrative journal written to Obsidian, and a persistent 6-dimension emotion state machine that
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