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"Using local LLMs for code writing, reviewing, and rule generation" matching MCP servers:

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    Strict AI code reviewer powered by Groq. Finds bugs, vulnerabilities and security issues in your code. Supports analyze, compare versions, explain code, generate tests, and HTML reports.
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    2
    MIT
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    Local-first Gmail MCP server using PKCE + loopback OAuth flow that stores refresh tokens in the OS keychain, enabling secure read/write Gmail access via MCP tools without tokens leaving the device.
    20
    MIT
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    A security filter that blocks dangerous code patterns by comparing normalized structural syntax trees against a blacklist of known threats using vector embeddings. It acts as a gatekeeper to prevent malicious code execution by identifying dangerous structures regardless of specific identifiers or literals.
    11
    MIT
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    A secure MCP server that allows Claude to read and write local files on your machine with explicit approval gating for each access.
    MIT
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    Turn Claude into an ISO 27001 compliance assistant - controls, risk register, policies, evidence tracking, SoA generation, and full audit workflows in one local encrypted MCP server.
    111
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    MIT
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    MCP server that provides AI coding assistants with access to call graphs, data flows, and security analysis for multi-file vulnerability detection.
    140
    Apache 2.0
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    Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.
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    Apache 2.0
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    A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.
    MIT No Attribution
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    Secret management MCP server for AI coding agents that prevents secrets from entering the LLM context window by returning metadata only and using side-channel injection. Integrates with Bitwarden and offers hooks for auto-capture and leak prevention.
    1
    MIT
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    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    MIT