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"Detecting Patterns and Conformations in Trading Charts" matching MCP servers:

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    Pattern-intelligence MCP server for ServiceNow Discovery that enables AI agents to read, search, validate, author, surgically edit, and reason about Discovery patterns, including NDL grammar, SNMP OIDs, data sources, and emulator blueprints.
    1
    MIT
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    Provides intelligent design pattern recommendations using semantic search through a comprehensive catalog of 200+ patterns across 20 categories. Users can describe programming problems in natural language to discover appropriate design patterns with contextual recommendations.
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    MIT
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    Enables AI agents to prospect across GitHub, PyPI, and npm, searching repositories, packages, and code patterns with read-only tools.
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    3
    MIT
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    A local guardrail MCP server that checks agent-written code against a repo's own patterns — learned statistically from its git history, no LLM.
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    6
    21
    MIT
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    Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.
    4
    80
    MIT
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    MCP server for detecting publisher telemetry pipeline leaks in binary artifacts by scanning for sensitive strings like Sentry DSNs, Slack tokens, and AWS keys.
    6
    MIT
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    Enables real-time code analysis for JavaScript, TypeScript, and Python through Claude Desktop and other MCP clients, detecting bugs, code smells, and security vulnerabilities with automated quick fixes.
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    567
    4
    MIT
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    A read-only MCP server that provides LLMs with introspection data and documentation for the Freqtrade codebase. It enables AI tools to access class signatures, method details, and configuration schemas to assist in writing more reliable trading strategies.
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    GPL 3.0
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    Enables code search across indexed repositories using regex patterns, with pagination, repository listing, and file context retrieval via Hound integration.
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    3
    MIT
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    Automatically converts JoinQuant quantitative trading strategies to Ptrade platform format, supporting direct code input or file paths, with automatic API mapping and detailed conversion reports.
    1
    22
    60
    Apache 2.0
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    Enables LLMs to systematically develop and validate regex patterns by defining test cases with expected matches, testing patterns against them, and iteratively refining until all requirements are satisfied.
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    MIT
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    Provides AI agents with a hardened code security scanner via scan_code and scan_path, detecting leaked secrets and insecure patterns while enforcing strict path confinement and resource bounds.
    2
    MIT