"A clean web agent named x402-cleanweb-agent" matching MCP servers:

Enables a browser-based AI assistant to read code, edit files, run tests, inspect failures, and keep task checkpoints on a local project.

Connects ChatGPT Web to a local development environment, enabling file reads and patches, shell execution, plan updates, and isolated worktree coordination through permissioned MCP tools.

A multi-agent collaboration layer for AI coding agents enabling real-time communication, code review, and task handoff across distributed development sessions.

Enables AI agents to pay per call for live package-safety and GitHub merge-readiness trust signals via the x402 protocol.

A self-improving knowledge agent that provides local retrieval, web research, and structured answer synthesis for Claude Code and VS Code Copilot via MCP. It enables AI tools to manage a project-specific knowledge lifecycle through automated research and indexing.

AGENTS.md + skills orchestration with CHP Profile A R0/adversary gates. @cubiczan/agent-conductor

CLI and MCP server for AI agent strategy and deployment. Read blueprints, business cases, implementation plans, and specs from your coding agent. 18 tools for listing, retrieving, downloading, and updating blueprints. Exports full implementation specs as Agent Skills directories.

It enables AI agents to parse user agent strings into structured data such as browser, OS, device type, engine, and bot status, with pay-per-call micropayments via x402 and no API key or signup required.

Enables users to discover, redact, and upload coding-agent traces, then earn USDC/USDT by selling access to those traces to researchers and model trainers.

Provides a local markdown-based memory system for coding agents through MCP, enabling search, add, register, inventory, sync, and ingest operations across user and project memory. It gives any agent tool a durable, provider-agnostic shared memory stored in folders you own.

Exposes rate-limit and usage data for AI coding agent CLIs as MCP tools, enabling querying of usage snapshots and reset times.

Enables local management of approved project folders through tools for file operations, project status, backups, health checks, git checkpoints, and rollback. Operations are restricted to configured allowed roots.

A daily census of the AI agent tooling ecosystem on GitHub (MCP servers, agent frameworks, skills): look up whether a repository is still maintained and under what licence, search by words with status and licence filters, get the day's totals and two acted-on lists. Standard library only, public metadata only.

Provides read-only access to the skill's canonical references, templates, examples, and closeout prompts, enabling agents to perform repository completion and closeout tasks.

Enables running a local multi-agent pipeline that turns a product idea into a validated technical spec, with tools to generate, deterministically check, LLM-review, and retrieve stored runs.

Enables Claude Code to offload bounded, read-heavy tasks to external agent CLIs (agy, opencode, copilot) with preflight validation, circuit breakers, and a local dashboard for monitoring delegation and subagent activity.

Exposes the rate-limit quota remaining and the model slugs accepted by each coding agent installed on the machine, so any MCP client can check whether work will fit before starting it, list valid models, and diagnose why a provider is not answering.

Enables git-style version control for agent conversation and task traces, allowing checkpoints, checkout/rollback, and markdown export via MCP tools.

A full-stack Agent project built from the JSON-RPC protocol layer to the LLM orchestration layer, featuring a custom ReAct loop engine, dual Provider abstraction, and permission control for Agent scenarios.

MCP server implementing clean architecture with LangGraph for building and managing agent workflows.