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    A local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.
    12
    13
    25
    GPL 3.0
  • A
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    Enables building a full backend directly from MCP clients using natural language, including projects, boards, typed columns, data, and REST endpoints with API keys. It also supports deploying frontends and provides a ready-made admin interface for end clients.
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    353
    MIT
  • A
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    A
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    Enables Oracle Database schema introspection and SQL execution over stdio, letting MCP hosts list tables, describe columns, and run SQL—read-only by default with opt-in writes.
    3
    0
    MIT
  • F
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    Integrates simulated health data and task management to provide energy-aware scheduling based on calculated readiness scores. It allows users to query health summaries, manage tasks, and generate optimized daily schedules through a local SQLite database.
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  • F
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    Read-only MCP server for 1mg's logistics platform (Loki/Thor), enabling order, task, rider, hub, and day-tracking queries via the Thor API.
    18
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    🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a professional tasks schema, and a unique shared multi-agent coordination hub to prevent coding conflicts in real-time.
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    3
    MIT
  • F
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    quality
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    Enables users to manage Kanban-style tasks with priorities, tags, and statuses (todo, in progress, done) through natural language. Provides task analytics including lead time, cycle time, and status distribution with MongoDB storage.
    4
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  • A
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    An agent-neutral MCP server providing SQLite key/value storage, Postgres knowledge base, and Kart task queue functionality. Features SAP/1.0 authorization on every tool call for secure multi-application access.
    142
    2
    Apache 2.0
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    Monitor and manage Apache Airflow clusters through natural language queries via MCP tools: DAG inspection, task monitoring, health checks, and cluster analytics without API complexity. * Guide: https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb2
    54
    51
    MIT
  • A
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    Not graded
    quality
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    maintenance
    A local, read-only MCP server for RavenDB diagnostics, providing 21 tools to inspect cluster, database, index, task, storage, and performance state, plus logs and data.
    2
    MIT
  • A
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    Not graded
    quality
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    maintenance
    Enables models to query enterprise systems—structured data, live GitHub REST API, and unstructured document embeddings—through a single, per-caller scoped MCP tool surface with task-shaped tools and recovery-aware errors.
    101
    ISC