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    A safety-gated MCP server for Zoho Books that enables AI agents to perform general-ledger writes, bank-feed categorization, and receipt attachments not exposed by Zoho's native connector, with hard guardrails preventing unauthorized actions on live data.
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    MIT
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    Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.
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    MIT
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    Enables AI-driven frontend component design and code generation from natural language requirements. Supports Vue, React, and Angular with intelligent component decomposition, API design, and complete project generation.
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    Automatically analyzes and optimizes AI prompts by calculating clarity scores, detecting risks, asking clarifying questions, and adding domain-specific requirements to improve AI interaction quality.
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    MIT
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    Enables formal verification of LLM outputs against compliance ontologies using Z3 SMT solver. Validates that AI-generated content adheres to regulatory requirements like HIPAA or mortgage compliance rules.
    Last updated
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    Universal AI gateway that enables interaction with Ethereum blockchain through natural language across multiple AI platforms (Claude, ChatGPT, Gemini, etc.). Supports contract deployment, token operations, NFT minting, DeFi operations, and general blockchain transactions.
    Last updated
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    MIT
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    Exposes a governed, provenance-grounded autonomous delivery pipeline as an MCP server, enabling AI coding assistants like Claude Code or Codex to initiate requirements-to-PR workflows with human approval gates and full audit.
    Last updated
    6
    MIT
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    Provides AI coding agents with deterministic security requirements, approved patterns, and anti-patterns based on a project's threat model defined in security-context.yaml, enabling secure code generation without relying on LLMs for security advice.
    Last updated
    MIT
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    An AI-native specification framework that enables deep requirements analysis and structured project planning through intelligent Q\&A workflows. The MCP server provides tools for project initialization, requirement analysis, and the generation of living documentation like development plans and architecture specs.
    Last updated
    10
    Apache 2.0
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    Transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement. Guides users through clarifying questions to gather comprehensive requirements for automated Business Intelligence dashboard generation.
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    1
    Apache 2.0