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    A read-only MCP server that enables querying Teamhood workspaces, users, boards, items, and time logs through the Teamhood Open API, running locally via stdio so your API key stays on your machine.
    10
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    A Model Context Protocol (MCP) server for accessing Productive.io API endpoints (projects, tasks, comments, todos), tailored for read-only operations, providing streamlined access to essential data while minimizing token consumption
    18
    MIT
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    Lets an AI assistant read and fill an Innoslate project through your own logged-in browser session, surveying the project, reading your documents and guides, and proposing a plan before writing entities, trace links, artifacts and reports after a dry run. It works on the free tier where API keys are refused, since every call goes through the browser instead.
    18
    MIT
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    MCP server for accessing the eSpace facilities management API, enabling work orders, events, equipment, and maintenance schedule operations from within Claude conversations.
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    Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
    15
    195 npm
    21
    MIT
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    MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.
    36
    81 PyPI
    5
    Apache 2.0
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    An open-source Model Context Protocol server that enables interaction with the Linear API to manage issues, teams, and comments. It allows users to create, update, and search for issues while accessing workspace users and workflow states.
    8
    1
    ISC
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    Enables safe read and edit operations on Things 3 tasks, projects, and checklists using only documented AppleScript and URL scheme APIs, without accessing private databases.
    12
    1
    MIT
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    On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.
    30
    4
    Apache 2.0