"MiniMax MCP (Model Context Protocol) GitHub Repository" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
Jam recordings (video, console, network) as context and proof of work for your coding agent.
Product context for AI agents: evidence, opportunities, initiatives, and decisions.
Read project context and manage tasks in MCPBinder, with access you control.
Product MCP server for cotal.ai, the open protocol that lets AI agents from any vendor work as one team. Tools: product overview, site search, build-log posts, feedback, Cotal Cloud waitlist, newsletter and call requests. No credentials needed.
Free bar for digital product briefs: your model judges, open rules and code score it.
Learn how AI products work: lessons, model cost comparisons, real experiments, PM guides.
Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI & Product Hunt — returns a 0-100 reality signal before you build. Supports quick (2 sources) and deep (5 sources) parallel search.
Connect Claude, ChatGPT, Cursor, Gemini, and GitHub Copilot to your Onplana project portfolio. 27 tools (14 read, 13 write), OAuth 2.0 with Dynamic Client Registration, full audit trail.
MCP server for product teams wanting alignment on strategy and decisions. Connects Claude to your Ambix workspace — initiatives, objectives, journey stages, and strategic direction — so you can reason over your full product context directly in conversation.
Commission a multi-model AI spec committee from your agent; get rubric-scored, build-ready specs.
Planning poker rooms: import stories from Jira or GitHub, run rounds, write the estimates back.
Synthesize GitHub Issues, HN and App Store reviews into ranked pain clusters. Pay-per-call x402.
Configure first-run setup checklist flows. Tools configure flows only; no host context.
Ovanek MCP: Model Context Protocol server for Ovanek platform tools; writes are dry-run by default.
Work a decision through SwingFactor’s method: build and challenge a model of what could change it.
