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"task management" matching MCP servers:

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    Enables AI agents to autonomously manage and improve execution processes for repetitive task types by storing reusable task contexts with associated artifacts (practices, rules, prompts, learnings) and providing full-text search across historical best practices.
    8
    1
    MIT
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    A cross-AI-agent local task context sharing MCP server that allows clients like Codex, Claude Code, Hermes, and VS Code to read and write the same task state, enabling task tracking and context distillation.
    6
    MIT
  • A
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    quality
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    AI-powered MCP server that analyzes project structures to create optimized task architectures for mise, enabling intelligent task management, dependency mapping, and automated task suggestions.
    10
    MIT
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    Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida
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    MIT
  • F
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    Enables managing employee leave through natural language, including applying, approving, rejecting, and canceling leave, checking balances, and listing requests, using an in-memory data model.
    6
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    A task manager MCP server that enables creating, reading, updating, and deleting tasks persisted in a local JSON file.
    4
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    Enables AI applications to manage tasks on a real Trello board by exposing four MCP tools for adding, listing, completing, and deleting tasks.
    4
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    Enables local task management through the Model Context Protocol with tools for creating, updating, and deleting tasks. It also provides read-only resources for viewing task summaries and full task lists.
    4
    13
    ISC
  • A
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    A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.
    8
    1
    AGPL 3.0