MCP server enabling AI agents to interact with Flutter apps at runtime - let them inspect widgets, simulate taps, enter text, scroll, and take screenshots.

Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.

Web/desktop UI for Gemini CLI/Qwen Code. Manage projects, switch between tools, search across past conversations, and manage MCP servers, all from one multilingual interface, locally or remotely.

Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.

MCP SSH Server: 37 tools for remote SSH management | Claude Code & OpenAI Codex | DevOps automation, backups, database operations, health monitoring

Examples of using Pipedream's MCP server in your app or AI agent.

Orchestrate an entire AI dev team on as little as 5GB VRAM. An AI coding agent built like a systems engineer. Ephemeral context, zero token bloat, exact-match diffs. Stop wasting money on 10k token wrappers that actively degrade LLM reasoning.

AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo

Reduce Claude Code, Codex, OpenCode wall clock and token use by 50% with open source, local semantic search. Works for small and large codebases and monorepos! Enterprise-ready and fully compliant via Ollama and SQLite-vec.

Opensource Memory for Agents

A native policy enforcement layer for AI coding agents. Built on OPA/Rego.

PowerShell-native AI agents enabling autonomous, memory-aware workflows with tool-calling across OpenAI, Azure, and Claude.

Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Built with MARM protocol for structured reasoning that evolves with your work.

C2S Agent is an lightweight AI Agent construction platform that provides configurable online Agents and MCP services, You can configure any HTTP request interface as an MCP tool. C2S Agent 是一个轻量级的AI Agent构建平台，提供在线可配置的Agent，MCP，您可以一个HTTP请求的接口配置成为一个MCP工具，Agent之间可以进行自交流。并提供了单端口多A2A服务，MCP服务的解决方案

🧰 All-in-one domain name intelligence as a service

Collection of agent skills for AI coding assistants

iOS MCP: MCP management tool for jailbroken iPhones, enabling developers and AI agents to inspect and control devices.

MCP for Pwn

AI Session Memory with Think-Execute-Reflect Quality Loops — give your agent a brain that survives every session. Built on the Intelligent Distance principle.

TypeScript framework for building production MCP servers. Fluent tool API, FSM gating, presenters, semantic routing, cache hints, Zod validation. Model-View-Agent architecture for the Model Context Protocol.

pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers into code that runs in secure sandboxes for token-efficient workflows.

Turn any MCP server into a Python module

Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.