MCP server for agent task workflows with phases, prompts, gates, and multi-agent coordination
Local-first MCP server for task tracking and coordination of autonomous AI coding agents.
Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.
Your project's decision history for agents: decisions, dead-ends, constraints - queryable, local.
An MCP server that provides DevOps and DevSecOps context for the project
AI that remembers.
Local MCP server for stateful, fail-closed Logic Pro control and live project readback.
Local MCP canvas for Modellix image generation, editing, task recovery, and visual project work.
Validate, query, safely edit, and wireframe MAIAS app-IA documents: cascading renames, atomic edits.
MCP server for Microsoft To Do via Microsoft Graph.
Local persistent TraeCN coding-task gateway with a focused MCP Agent surface.
MCP server bridging GitHub webhooks via Cloudflare Worker for real-time event streaming
Run reproducible scientific workloads on GPUs, local compute, Slurm, and PBS with provenance.
Safety-aware MCP server for Linear issues, projects, cycles, and dependencies.
MCP server wrapping the Taskwarrior CLI for structured, project-scoped task management.
Your local project library: hand any AI a project pack, search it, and write findings back.
Manage Trello boards, lists, and cards from any MCP-compatible AI assistant
MCP server for AI agents to report infrastructure needs they encounter during task execution
Audit, reschedule and author Microsoft Project schedules.
Web, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.
Analyze .NET solutions: Generate Mermaid graphs, ERDs, class diagrams, and project metrics.
JMRI voice/chat control for DCC model railroads
Read-only source search and retrieval across configured GitHub repositories
AI agent project management — task boards, progress tracking, and cost reporting.
MCP server for Taskwarrior 3.x, TaskChampion, and Timewarrior task management.
Drive KittyClaw, a self-hosted agent-fleet kanban, from any MCP client (embedded /mcp endpoint).
Read-only npm package and project dependency preflight tools for AI applications.
Persistent, evidence-backed project knowledge and task context for coding agents.
Kanban boards, sprints, tickets and a team wiki, with versioned writes for concurrent agents.
MCP server for t-rush.
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