AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness with ACP support.

Local MCP server for Google Workspace (Gmail, Drive, Calendar, Sheets, Docs, Contacts, Tasks, Meet, Search Console, +Forms/Chat/Admin) across multiple accounts — OAuth-only, encrypted token storage, deny-by-default writes.

Self-hostable AGPL workspace where humans and AI agents share chat, tasks, knowledge, approvals, and MCP context.

ClickUp MCP Server - Powering AI Agents with full ClickUp task, document, and chat management capabilities.

A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.

Deterministic, persistent graph server for tracking workflow state, decisions, and blockers.

Shared team knowledge, leaked-secret alerts, ranked code findings and tracked tasks, across every AI coding tool you use

Open-source MCP server for comparing products and asking the buyer before purchase.

LeanCTX is the Context Gateway for AI Systems. Select task-relevant context, apply supported controls, connect local knowledge and inspect recorded evidence. Open-source Engine: CLI, MCP, hooks and supported proxy paths.

Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks

MCP server that lets Claude Code delegate heavy-token tasks to DeepSeek, Kimi, GLM, Qwen, Grok, or any OpenAI-compatible model. Claude orchestrates; the delegate does the heavy lifting. Zero dependencies.

Turn any laptop, desktop, VM, or server into a secure AI-agent workspace via MCP. Let ChatGPT, Claude, Grok, Qwen and other MCP clients read and edit files, run commands, test code, inspect systems, and complete real-world tasks.

Enables Claude Code to delegate tasks to persistent GitHub Copilot CLI sessions via MCP, inspect pending tool requests, and approve each operation once or deny it while continuing multi-turn context. It bridges ACP runtime sessions locally over stdio without a public service or background daemon.

Enables Claude and ChatGPT to manage Motion tasks through one shared API core, including capturing next actions, preserving resume context, checking duplicates, and reporting scheduling health. It serves local stdio clients and OAuth-protected Streamable HTTP clients.

Turns any OpenAPI spec into a single-tool MCP server where the model writes JavaScript against a typed api object in a QuickJS sandbox, so multi-step tasks run in one round trip and only the final result reaches context. Credentials, rate limiting, retries, write gating and audit logging stay on the host, outside the sandbox.

Exposes a single ask_warriorgpt tool that lets Claude Code delegate self-contained code generation prompts to Wayne State's hosted model API, passing files to and from disk so the content never counts against the Claude plan. It validates multi-file edits before writing and logs per-session token usage, keeping design and debugging work with Claude.

Browser MCP - the browser tool that can stop and ask you. A 2FA code, a CAPTCHA, a choice only you can make: it asks on your own screen, then carries on in the Chrome you're signed into. 40 tools, any MCP client, MIT.

The fullstack TypeScript framework for MCP and APIs — write one action, serve HTTP, WebSocket, CLI, background tasks, and MCP tools.

GodPrompt MCP server + portable Agent Skill for coding agents — TDD, debugging, verification gates, task routing, and progressive disclosure.

Self-hosted work log your team's AI agents write: daily updates drafted from git and the session, tasks, time measured from agent sessions, project context and client access. 39 tools over Streamable HTTP, with personal keys for coding agents and OAuth for the Claude and ChatGPT apps.

Enables MCP clients to coordinate local AI model runs by monitoring RAM, system commit, and VRAM, queueing tasks across clients, performing admission checks before inference, renewing leases, completing and releasing runs, and reporting status, history, and health while preserving original generation quality parameters. It also supports controlled start/stop and optional idle application memory reclamation.

Enables building zero-dependency Model Context Protocol servers over the Streamable HTTP transport, exposing typed tools, resources and URI templates, prompts, background tasks, and OAuth-protected endpoints. It can be mounted into FastAPI, Starlette, Flask, Django or any ASGI/WSGI app, or run standalone on the Python standard library alone.

Enables AI coding agents to automatically compress context at agent-judged task boundaries, write incremental structured session snapshots, and maintain per-fact long-term memory for priority restoration across sessions.

Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.