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    Enables secure access to Oracle databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly/readwrite/full) and table-level permissions for safe query execution and data management.
    1
    MIT
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    Turns any website URL into a crawled markdown corpus and knowledge graph, then exposes it to AI agents over MCP. Enables full-text search, full page retrieval, subgraph neighbor expansion, and site statistics so agents can answer questions grounded in a specific site's documentation.
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    MIT
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.
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    Apache 2.0
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    On-chain TCG price oracle for the LitecoinVM ecosystem. 6 tools: search 433K+ trading cards, 60-day price history, Merkle proof verification on LiteForge (Chain 4441), Monte Carlo simulation, and AI card grading via Qwen 2.5 VL.
    7
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    Business Source 1.1
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    A read-only, audited, and SQL-guarded Model Context Protocol server for Oracle Database that lets MCP clients query Oracle databases safely with multi-layer security guards.
    5
    MIT
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    An oracle for machines that need to think sideways. Feed it a creative problem; it returns something you can't quite explain but can't stop using. Three free consultations.
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    Creative Commons Attribution Non Commercial No Derivatives 4.0 International
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    Enables querying and managing DPYC community membership, governance, and onboarding via a live GitHub registry, with tools for member lookup, citizenship registration, advocate registration, and rulebook access.
    30
    Apache 2.0
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    Enables site-wide crawling of internal links with BFS traversal, time/title/URL filtering, and page operations like summarization and link clicking, with results persisted to SQLite.
    6
    MIT
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    Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.
    6
    MIT
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    Enables AI assistants and MCP clients to analyze offline Oracle AWR/ASH reports in HTML or text across Oracle 10g–23ai, including single-instance and RAC global reports, returning report type, version, active sessions, load profile, top waits and SQL with version-aware tuning advice plus a prioritized top-3 summary, all locally without an Oracle client or database connection.
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    22 PyPI
    MIT
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    Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.
    11
    2
    MIT
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    MCP server for accessing Oracle databases, enabling schema exploration, query execution, and performance analysis.
    12
    MIT
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    提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器,支持盘中即时更新及批量查询。
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    MIT
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    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT
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    Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.
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    An MCP server that lets AI models interact with Oracle Fusion Cloud HCM across its entire REST surface. It uses generic, schema-aware tools to dynamically discover licensed modules and resources without per-endpoint code.
    6
    Apache 2.0
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    Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.
    25
    93 PyPI
    4
    MIT