"MiniMax MCP (Model Context Protocol) GitHub Repository" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Hosted coding agent: start, follow up on and stop tasks that can open GitHub pull requests.
Build real websites and web apps with AI, right from your chat. Describe your idea and WebTwizz builds it: landing pages, online stores, booking sites, portfolios and full web apps with sign-ins and a database. Change anything by asking, publish to a free webtwizz.app address or your own domain, undo changes, edit your site's database records, and sync the code with GitHub. Sign in with a free WebTwizz account (OAuth).
Assign Linear, Jira or GitHub issues to an AI coding agent team that plans, builds, reviews, tests.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
Preflight checks for agent repository contributions, bounty work, and Base payments.
Persistent memory for AI coding agents. Store coding standards, architecture decisions, and project context across sessions with AES-256 encryption.
AI code review for GitHub PRs with an MCP autofix loop for Claude Code and Cursor
Knowledge accumulation for AI coding agents. Records decisions, problems, and insights as context.
Compress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.
CodeRide eliminates the context reset cycle once and for all. Through MCP integration, it seamless…
