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    YOUR AGENTS COLLIDE. File a FlightPlan. Run multiple coding agents without them stepping on each other. FlightPlan gives each agent the same preflight picture, lets them coordinate while plans are still cheap to change, and leaves behind what changed and why for whichever agent comes next. Across sessions. Across people. Across providers. Across time. One shared picture.
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    Apache 2.0
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    Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.
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    MIT
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    Goal and process maps for humans and AI agents on your own server: agents create and update nodes, manage tasks and automation rules and read the org structure, while people watch the same map live. Connects to your self-hosted killBottleneck instance.
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    Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.
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    MIT
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    Enables AI assistants to interact with Planning Center Online accounts across modules like People, Services, Giving, and Calendar. It provides tools for searching people, managing service plans, tracking donations, and monitoring events through the PCO API.
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    Enables LLMs to interact with Basecamp projects, managing messages, todos, comments, people, and kanban boards through natural language. Supports comprehensive Basecamp operations including creating, reading, updating content with flexible output formats and URL parsing capabilities.
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    MIT
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    Enables interaction with Basecamp Classic (the original Basecamp) through its API, providing tools for managing projects, to-do lists, messages, comments, people, milestones, and time entries.
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    Apache 2.0
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    Enables AI assistants to manage RogerRoger CRM data including people, organizations, lists, tags, and tasks through standardized MCP tools.
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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.
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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.
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    Apache 2.0
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    An MCP server for Clockify that provides tools for managing timers, time entries, projects, tasks, tags, people, reports, and time off, with natural language parsing of times and durations.
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    MCP server that turns your IDE session history and git activity into Azure DevOps ticket updates, drafting comments, hours, and state changes with confirm-before-post. It also provides read-only progress, people, breakdown, and timeline reports for leads.
    MIT
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    Persistent code finding, requirements, and release tracker for AI assistants. Enables durable memory for code review findings, requirements, dependency blockers, parallel-agent coordination, and release milestones with minimal token overhead.
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    MIT