MCP

A Rust CLI and MCP server for orchestrating multiple coding agents, fusing their answers, and resuming or routing agent sessions locally.

Local-first record, inspect, and replay tool for debugging AI agents. Orchid captures LLM calls and tool traffic through a proxy, exposes traces in a web UI and MCP tools, and supports offline replay for deterministic testing.

A local-first MCP server and companion CLI/TUI for giving AI agents a user-owned self model and scoped memory. It stores facets and audit events locally, supports approval-gated writes, and includes export/import for portability.

Caplets is a developer tool that wraps MCP servers into smaller capability-based surfaces for coding agents. The site explains the workflow, setup, example capabilities like OSV, GitHub, and Sourcegraph, and includes benchmark results plus docs links.

Open-source MCP server and CLI that lets an LLM control hardware workflows like compiling, flashing, and reading serial output for firmware development and device diagnostics.

Open-source technical SEO and GEO crawler for humans and agents. It offers a CLI, MCP server, and agent skills for crawling sites, checking broken links and metadata, and generating JSON/HTML reports.

Modular desktop IDE built for agentic coding, with dockable panels, an MCP sidecar, plugin support, and built-in tooling for debugging, verification, memory, and secrets handling.

Open-source MCP server that exposes SQL databases as tools and prompts for AI agents, with support for MSSQL and PostgreSQL, read-only defaults, and local or remote transport.

A native Windows terminal multiplexer built for AI coding agents, with split panes, MCP bridging, and browser automation. It targets Windows users running tools like Claude Code, Codex CLI, and Gemini CLI without WSL.

Buildy lets AI agents create and update hosted apps with real URLs and persistent data. The page shows starter apps, agent access, API docs, and support for connecting through ChatGPT, Claude, and MCP.

Workplane lets users publish Markdown, HTML, PDFs, and screenshots as shareable pages for humans and agents, with comments, versioning, and MCP-based publishing from AI tools.

Runtime authorization platform for AI agents with open-source SDKs in Python, TypeScript, Go, Java, and Rust. The page says the hosted service is in production, supports per-action checks, scoped delegation, revocable tokens, and a shared authorization model across MCP tools, agent-to-agent calls, and direct API integr

Local-first agentic coding assistant in Rust with a terminal UI, embedded web UI, phone app, always-on gateway, and LAN grid dispatch across multiple machines.

CLI for installing, switching, and managing collections of agent skills and agent-specific configurations across multiple coding tools.

An API for mapping hex values, palettes, and images to named archive colours, with deterministic colour metrics, accessibility checks, cultural risk notes, and MCP support for agents and chat tools.

A demo for running the Odysseus self-hosted AI workspace on throwaway islo.dev microVMs in one command, with both a clickable live app path and an agent tool for running code on disposable boxes.

A macOS utility that compresses screenshots locally and copies them to the clipboard for use with coding agents like Codex and Claude.

Open-source security scanner and firewall for MCP servers. It scans configs for common MCP risks, enforces runtime policies on tool calls, and produces audit logs, with CLI commands, policy examples, and a programmatic API.

VAEN is a CLI for packaging AI coding-agent setups into portable .agent archives and importing them across repos or teams without copying instructions, skills, MCP config, or secrets.

Local-first memory layer for coding agents with an MCP server, CLI, and desktop console for durable project context, handoffs, and recall across sessions.

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.