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"pre-commit" matching MCP servers:

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    Fast pre-commit dependency gate for AI-assisted code changes. Answers "is this safe to commit?" with a PASS/WARN/BLOCK verdict in seconds, so you can catch risky blast radius before a bad commit, not after it. No database, no heavy setup.
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    MIT
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    Generates commit messages, PR titles and descriptions, and release notes from git changes, with automatic domain detection for appropriate PR templates.
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    Security scanning for AI coding tools (Claude Code, Cursor, Windsurf) including secrets detection, MCP config vulnerabilities, agent instruction checks, threat modeling, prompt injection testing, pre-commit security checks, and dependency vulnerability scanning.
    Last updated
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    MIT
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    An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.
    Last updated
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    ISC
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    An intelligent MCP server that automatically generates Conventional Commits style commit messages by analyzing git diffs using LLM providers like DeepSeek and Groq. It enables developers to maintain standardized version history through natural language interactions in supported MCP clients.
    Last updated
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    MIT
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    A Compact Knowledge Graph MCP server providing pre-structured domain knowledge as a routing layer for agent stacks, enabling efficient structural queries (e.g., prerequisites, dependency chains) without hallucinations.
    Last updated
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    MIT
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    Startup engineering acceleration signals for VC investors. Tracks commit velocity, contributor growth, and repo expansion across 20 sectors via public GitHub data. No API key required.
    Last updated
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    MCP server for RugGuard, enabling AI agents to perform pre-trade rug checks on tokens, with paid tools for token scanning and pre-trade verification, and a free metrics resource.
    Last updated
    3
    MIT
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    MCP server that enables AI signing agents to pre-flight transactions by checking ERC-7730 descriptor safety, explaining function semantics, and scanning contracts for danger primitives.
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    3
    MIT
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    MCP server for Speakeasy — Windows API emulation for binary analysis. It runs a .exe in a Wine-like sandbox and returns a structured API trace.
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    MIT
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    Local-first memory layer for AI coding agents — captures issues, attempts, fixes, and decisions, and warns at git commit before you repeat a mistake.
    Last updated
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    MIT