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    🐍 🏠 - Code graph for AI agents over MCP: resolves Python and TypeScript calls to fully qualified names and reports the share it could not resolve instead of guessing. Multi-hop impact analysis, authz reachability audit, architectural drift against declared patterns. Local, SQLite. uvx codegraph-brain
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    15
    330 PyPI
    2
    MIT
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    Generates engineer-grade SaaS specifications — design systems, database schemas, and RLS policies for AI build tools like Lovable, Cursor, and Claude Code. 4 tools, TypeScript, MIT licensed.
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    MIT
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    Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.
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    MIT
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    Guides users through a structured pre-coding workflow—classifying experience, interviewing, scoping, architecture, database schema, and roadmap—while persisting decisions and checking for drift during implementation.
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    7 npm
    MIT
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    MCP server that reads your database schema from SQL DDL, Prisma, Drizzle, TypeORM, or SQLAlchemy, generates a Mermaid ER diagram, and writes it into your documentation, with drift detection to keep diagrams up-to-date.
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    MIT
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    Semantic React/TSX analysis MCP server that saves 70-90% tokens by using AST to retrieve precise component usages, prop flow, and state update information for AI coding assistants.
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    10 npm
    MIT
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    Plan your projects with The High Council! Several AI models from different labs argue about your idea, then debate on Software Engineering choices. The goal is to get everyone to work together, in harmony and with manners. Effectiveness is unproven, but it is a fun way to spend your tokens!
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    469 npm
    MIT
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    MCP server that bridges AI agents with WSQLite, enabling search, design, and deployment of high-performance SQLite-backed services with industry-standard patterns and architecture enforcement.
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    MIT
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    Enables users to architect, validate, scaffold, and generate production-ready code for Milvus vector database applications. Exposes tools for schema validation, design pattern search, CRUD generation, vector and range search blueprints, and MCP client configuration.
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    MIT
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    Enables AI agents to operate PowerDesigner 16.5 through COM Automation, providing 55+ tools for database modeling, schema inspection, validation, native DDL generation, and CDM/LDM/PDM workflows with dry-run and rollback safety.
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    MIT
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    Enables AI agents to programmatically access self-hosted Penpot instances to read, create, modify, and export design elements through natural language. It provides 66 tools for managing projects, shapes, design tokens, and comments using a dual-access strategy of direct database reads and RPC API writes.
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    Apache 2.0
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    Living typed knowledge graph for software projects, exposed over MCP so coding assistants can capture and query modules, capabilities, flows, events, rules and decisions across sessions. SQLite-backed, schema-validated, ships as a Claude Code plugin.
    MIT
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    Enables read-only access to Sparx Systems Enterprise Architect repositories stored in various database systems via ODBC, allowing AI assistants to browse and query model data without requiring Windows or a running EA instance.
    MIT
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    Enables AI agents to query a repository's verified semantic model, including capabilities, ownership, contracts, constraints, impact, health, and verification status, without re-deriving project facts. It exposes read-only tools for inspecting, reasoning about, and verifying the provenance-tracked surface.
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    Apache 2.0
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    A centralized remote MCP server that gives AI coding assistants real-time microservices architecture intelligence, including service search, database schema lookup, API discovery, and change blast-radius analysis.
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    MIT