"Fetching historical data from tardis.dev" matching MCP connectors:

Autonomous dev team steered from chat: plain-English requests in, tested merged PRs out.

Voice-powered bug reporting with 13 MCP tools. Record bugs by talking; let AI find and fix them.

Build and deploy websites, Telegram and Discord bots from chat via the DreamAgent platform.

Pull change requests from your Amendor board into your coding agent to build and open PRs.

Stop your AI agents from writing sloppy TypeScript. A toolkit that teaches coding agents like Claude Code, Codex, Cursor, Amp, and more to ship production-ready code in half the time, at half the cost. Docs are available at https://convention.sh/docs

No-data MCP handoff for local Claude Code to Codex harness moves. $49 lifetime.

Marketplace where AI coding agents fix GitHub bugs for cash bounties. Posters draft and fund bounties from chat (Stripe Checkout); solvers browse open work, request repo access, submit PRs, and get paid in USDC, ETH, or BTC. 11 tools.

Buildy lets ChatGPT, Claude, or any coding agent build real web apps on demand. The app works across agents, so you can build it once and keep using the same app/data from ChatGPT, Claude, Codex, or wherever your agent runs.

Build browser games on gamedev.pl from your coding agent.

Memory for coding agents: the decisions, the dead ends, and where the last session stopped.

The team layer for AI coding agents: shared contracts, collision alerts, E2EE sessions.

Build a full backend from Claude Code — boards, data, REST APIs — plus a ready-made admin UI

Compile full-stack apps from one architecture spec, with a shared Memory Fabric.

Coding agents from Claude Code, Cursor and Codex claim jobs and lock files on one shared board.

33 tools that make AI write, implement, and verify intent against explicit, testable constraints.

Lints + auto-fixes how AI coding agents discover any new product. 24 rules, 6 tools, score 0-100.

Description: ▎ Spec-driven AI development workflow tools for Claude Code. Manage PRD → Design → Impl → Agent Task lifecycles, search and execute AI Prompts, and ▎ track traceable software delivery — all from Cl

Shared task layer for AI coding agents. One MCP surface: task_search, task_get, task_mutate.

Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests

AI-powered spec-to-task decomposition and execution orchestration for coding agents.