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    Deploys full-stack projects to EdgeOne Makers and returns publicly accessible URLs, with support for authentication and automatic project naming.
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    Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.
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    A self-improving knowledge agent that provides local retrieval, web research, and structured answer synthesis for Claude Code and VS Code Copilot via MCP. It enables AI tools to manage a project-specific knowledge lifecycle through automated research and indexing.
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    MIT
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    Persistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.
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    Enables Claude Desktop to view and interact with the currently open QGIS project, including layers, styling, selections, Processing algorithms, attribute editing, and geocoding, all running locally.
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    GPL 2.0
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    Enables AI assistants to analyze Primavera P6 XER files for insights into critical paths, schedule health, and project performance. It provides 23 specialized tools for managing schedule data, resources, and earned value through local or remote interfaces.
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    Enables AI assistants to query Rocketlane CSM data for project health, team workload, tasks, and generate weekly reviews.
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    MIT
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    Context-aware MCP server advisor. Tells you what to install for your specific project — and why.
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    MIT
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    A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.
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    Enables an AI assistant to administer a Jira Cloud site with 78 purpose-built tools for behind-the-scenes admin work like custom fields, permission schemes, workflows, screens, issue-type schemes, groups, project roles, saved filters, and bulk operations.
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    MIT
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    Cortex is an MCP server that helps build and maintain a project Memory Bank for AI assistants, enabling reproducible, high-quality AI-driven development with a plan-do-commit loop.
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    MIT