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"Understanding Prompts or Prompt Engineering" matching MCP servers:

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    Enables AI assistants to interact with OpenProject installations for comprehensive project management, including creating projects and work packages, managing users and assignments, creating dependencies, and generating Gantt charts through natural language commands.
    14
  • A
    license
    A
    quality
    A
    maintenance
    An MCP server that turns independent AI agents into a coordinated engineering team with shared task board, context, review loop, and enforced plan-implement-review-iterate workflow.
    24
    MIT
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    quality
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    MCP server providing feedback-oriented development workflows with a Web UI and desktop application for interactive user confirmation, session tracking, and smart prompt management.
    2
  • A
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    MCP server for parsing, querying, and analyzing Primavera P6 XER files with 13 tools, 3 resources, and 2 prompts.
    13
    10
    MIT
  • A
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    quality
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    Open-source TypeScript MCP server template with Streamable HTTP transport, Bearer auth, and prompt-injection containment, plus a client SDK for Onplana's hosted MCP endpoint.
    4
    MIT
  • A
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    quality
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    Enables AI assistants to interact with IBM Engineering Lifecycle Management (ELM), including DOORS Next Generation, EWM, and ETM, for managing requirements, work items, tests, and project builds through natural language.
    MIT
  • A
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    quality
    A
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    A federated MCP server that combines IBM's engineering-ai-hub tools with its own authoring and orchestration tools for IBM ELM, enabling AI hosts to manage requirements, models, and compliance through a single interface.
    MIT
  • A
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    quality
    B
    maintenance
    A living X-Matrix your AI agent can read, challenge and update — 3-to-5-year objectives, annual objectives, initiatives, KPIs, correlations, review cadences, and a completeness score. Exposes 11 tools and 9 guided prompts over MCP with local or hosted transports.
    MIT
  • A
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    quality
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    An intelligent task management server that generates context-aware engineering plans using LLM-powered workflows and interactive requirement elicitation. It features persistent SQLite storage, category-based planning strategies, and automated progress tracking for software development projects.
    MIT
  • A
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    quality
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    maintenance
    Unauthenticated MCP server for a bilingual (Hebrew/English) issue tracker, enabling bug management, search, and statistics via tools, resources, and prompts.
    MIT
  • A
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    quality
    B
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    Provides sub-millisecond access to organizational and engineering data by pre-materializing data into a read-only SQLite database. Enables agents to query people, teams, issues, features, and governance documents without upstream latency or auth.
    1
    MIT
  • A
    license
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    quality
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    maintenance
    A self-evolving engineering playbook system that provides AI assistants with structured access to development methodologies, workflows, and best practices. Enables generation of work plans, progress tracking, and continuous process improvement through AI-proposed playbook updates.
    13
    Apache 2.0