MCP

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.

Verso is an open-source macOS app that orchestrates local AI agents for knowledge work, with app connections, local memory, and support for switching between frontier models.

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.

Open-source TypeScript crawler for AI agents that needs bounded web access, structured extraction, PDF parsing, JavaScript rendering, and MCP support. It outputs Markdown, JSON, and JSONL evidence records with provenance and crawl limits.

ContextSpy is an LLM context profiler that intercepts agent traffic, breaks down token usage, and visualizes how prompts change across requests and sessions.

A harness that runs MCP servers in a disposable Linux sandbox and logs their real startup behavior, including file access and outbound network connections.

Terminai is a transparent terminal wrapper that adds an AI overlay for Codex, Claude Code, and custom CLI agents. It gives agents live terminal context plus approval-gated shell suggestions while preserving the normal terminal workflow.

A Claude Code plugin and MCP server that keeps a persistent, read-only memory of a repo so agents can ask broad codebase questions without re-reading files every session.

Local-first code intelligence MCP for AI coding agents. It gives tools like Claude, Cursor, Codex, and other MCP-compatible agents an indexed evidence layer for repo search, symbol lookup, impact analysis, and test selection before editing code.

TaskPeace is an MCP-native task manager for AI coding agents. It gives agents one ranked queue to pull from, with a live cockpit for humans to monitor work, and supports Claude Code, Cursor, ChatGPT, and other MCP or REST-based agents.

A local MCP server that builds a deterministic architecture graph of a codebase so AI coding agents can inspect modules, symbols, routes, dependencies, and cross-repo relationships from source-backed facts.