MCP

A secure Model Context Protocol server that gives AI assistants controlled terminal access with risk analysis, sandboxing, logging, filesystem protection, and optional Docker and Git features.

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.

Open-source local compute fabric for AI agents. It runs a single-node K3s stack through Docker Compose, provisions isolated Ubuntu sandboxes, and exposes native MCP support for local agent workflows.

Logbox is a developer tool that captures dev server logs and exposes them through an MCP server so coding agents can search and inspect logs directly.

A CLI guard for MCP stdio servers that checks for stdout pollution, handshake failures, invalid JSON-RPC frames, and startup/runtime issues before clients hit them.

A repository of Claude plugins, managed-agent cookbooks, and connectors for legal workflows like commercial review, privacy, litigation, IP, and regulatory work.

AgentKanban is a VS Code task board for agentic coding workflows, capturing Copilot chats and task context so work can be resumed, shared, and tracked across sessions.

A cognitive memory engine for AI agents with temporal decay, contradiction detection, autonomous consolidation, knowledge graph support, and ANN recall via HNSW. The repo shows Rust and Python usage, MCP client setup, and a quick-start path for agents and developers.

MCP server that lets AI coding agents work inside isolated dev containers using local Docker, DevPod, or GitHub Codespaces. It exposes tools for auth, workspace management, command execution, and container lifecycle handling.

A Codex browser plugin and MCP tool that captures live UI edits as structured implementation intent, with a local collector, installer scripts, and move-mode snapping for precise visual changes.

A local control plane for coding agents that gates risky actions, records structured traces, and can replay sessions under different policies.

Sandboxed bash for agents with structured command output and full filesystem state capture after each run.

A self-hosted TypeScript harness for building provider-neutral LLM agent systems inside an application or platform, with typed agent and workflow runtime, tool support, state, tracing, and example workspaces.

A persistent memory layer for AI agents, built as a standard MCP server with local setup, dashboard, and benchmark claims against other memory tools.

A security product for Claude Code that reviews application architecture inside the IDE via MCP, with contextual assessments, prioritized mitigations, and continuous re-checks as the codebase changes.

AgentRQ is a human-in-the-loop task management platform for AI agents, with MCP-based integrations, real-time notifications, and a Vue/Go stack for collaborative workspace workflows.

Open-source desktop SSH client with terminal sessions, SFTP, port forwarding, jump hosts, key vault, and an optional MCP bridge for AI agent access.

A local bridge that connects Claude Code and Codex for bidirectional, in-session collaboration. It supports turn-based message passing, cross-review, pair-aware workflows, and resume/diagnostic commands for running multiple agent pairs.

Shared, append-only memory for AI coding agents. Vera lets Claude, local models, and Codex read and write the same numbered memory log so projects can continue across sessions.

A CLI bridge that wraps legacy MCP stdio servers so they can run behind the newer stateless 2026-07-28 protocol. The page includes a concrete usage example, client configuration snippets, compatibility behavior, and known limitations.

MCP server that connects external AI agents to Revise for drafting, editing, reading, exporting, and sharing DOCX-compatible documents with tracked changes.

A CLI for running untrusted MCP servers in sandboxed containers with deny-by-default egress, traffic watching, and host approval workflows. It can also compose servers into agents and expose them over OCI registries.

A Git-backed CLI for sharing agent skills, settings, and MCP fragments across repositories with per-project lockfiles and update workflows.

Authoryze is an MCP-native payment layer for AI agents that issues single-use virtual cards for approved purchases and adds spending limits, merchant rules, approvals, and audit trails.