An AI knowledge base your whole team uses via MCP
A personal library for Skills, Agents, and Rules — built once, used across Claude, Cursor, and any MCP-compatible AI tool. Save your best workflows once. Run them anywhere.
Save a skill once. Run it in Claude, Cursor, or anything that speaks MCP.
Great AI workflows get lost. You build a prompt that works perfectly, then forget where you saved it. You switch tools and rebuild from memory. Teams are worse — the best workflows live on one person's laptop and never get shared. There was no simple way to save a skill, keep improving it, version it, and plug it into whatever AI tool you happened to be using that day.
Instill is a library for your AI building blocks. You save Skills (prompts and workflows), Agents (autonomous task runners), and Rules (behavior guidelines) — each with a name, a description, and a version history. Everything is served via MCP, so your tools load them automatically. Type the name in Claude or Cursor and it runs. Share with your team. Import from the community. One library, any tool.
Built with Next.js and hosted on Vercel. Skills, Agents, and Rules are stored as versioned text objects in PostgreSQL. Served to AI tools via a standards-compliant MCP server, making Instill compatible with Claude, Cursor, and any future tool that adopts the protocol.
Results
Measurable outcomes that drove real business value
Consultants, founders, and engineers using Instill as part of their daily AI workflow.
Prompts, autonomous agents, and behavior rules stored once and reused across tools via MCP.
Real client work shipped with skills, agents, and rules pulled straight from Instill.
Project Gallery
Visual highlights of the delivered solution
Further Reading
AI for Your Business: 7 Ways to Cut Costs and Grow Revenue
Practical AI applications for non-technical business owners — where to start and what delivers real ROI.
AI for Your Business: 7 Ways to Cut Costs and Grow RevenueAI Chatbot for Customer Support: ROI, Costs & Real Results
Whether an AI chatbot is worth building — costs, ROI, and real implementation examples.
AI Chatbot for Customer Support: ROI, Costs & Real ResultsWant a similar result?
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