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    MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.
    7
    MIT
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    B
    maintenance
    Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.
    MIT
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    C
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    Minimal Todoist MCP server that provides direct passthrough to the Todoist REST API v2, supporting all HTTP methods via a single tool.
    2 npm
    ISC
  • A
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    C
    maintenance
    Enables delivery leads to query explainable programme health, prioritized risks, dependency impacts, change request effects, blocked decisions, and evidence-backed claims with refusal on unsupported assertions, all via deterministic tools and telemetry.
    MIT
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    B
    maintenance
    Enables AI assistants to interact with OpenProject's API v3 for comprehensive project management operations including work packages, projects, time tracking, users, and all other OpenProject features through natural language.
    3
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    Task management MCP server supporting create, complete, and list operations with Bearer token authentication. Deployable locally or via Docker/Cloudtype.
    MIT
  • A
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    quality
    D
    maintenance
    Enables LLMs to interact with Todoist task management platform through its API, supporting all features from the official Todoist TypeScript Client.
    178 npm
    MIT
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    quality
    B
    maintenance
    Enables Claude Web users to manage their job application workflow by storing profile and resume data, analyzing job descriptions, preparing applications, and tracking progress — all with manual submission and no platform automation.
    1
    MIT
  • F
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    Enables AI assistants to manage architectural decisions through CRUD operations integrated with a GraphQL backend and SAP/LeanIX fact sheets. It provides tools for creating, reading, updating, and deleting ADL entries to maintain a structured history of technical choices.
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