Mindola MCP server

Mindola turns a person's own material (writing, notes, documents, links) into a public AI page that answers questions from that material alone, with citations.

That public AI page is called a lens: one shareable link, like https://mindola.ai/me/your-name, where anyone can ask questions in chat or a live voice call. Every answer is grounded only in the owner's material and shows its sources. If the material does not cover a question, the lens says so honestly instead of guessing, and can hand the question to the real person.

This repository is the public documentation and examples for Mindola's hosted MCP server. The server is remote: there is nothing to install or run. You add one URL to your MCP client (Claude, Cursor, VS Code, Codex, ChatGPT), and your AI assistant can create and fill a lens for you in one conversation. The server itself runs inside the Mindola app, which is closed source; this repo holds the docs and example code.

Try a live lens right now, no account needed: mindola.ai/me/charles-darwin.

What problem Mindola solves

People publish knowledge that nobody reads. Your blog posts, documentation, course material, and notes sit in archives, and visitors are expected to dig through them. Most will not. They have one question and they want one answer.

A generic AI chatbot is not the fix. It answers from whatever it was trained on, so it confidently makes things up about you, your product, or your work. That is worse than no answer.

Mindola sits in between. It gives your material a front door: a page that answers questions from your knowledge base and nothing else, cites where each answer came from, and admits when it does not know. Visitors get answers instead of archives, and you get to see what they asked.

Why Mindola instead of building RAG yourself

Building retrieval-augmented generation (RAG) yourself is a real project. You need ingestion for every source type, chunking that respects document structure, embeddings, a vector store, retrieval tuning, grounding logic so the model stays inside your material, a citation UI, refusal behavior for out-of-scope questions, and then hosting, monitoring, and a front end. Add real-time voice and it roughly doubles.

Mindola gives you the finished product behind one link and one API. You provide the material; Mindola handles knowledge retrieval, grounded answers, citations, refusals, voice, the public page, and the inbox for unanswered questions. You can go from nothing to a working grounded AI page in one conversation with your coding assistant.

Building your own is still the right call in some situations. If you need full control over which models run, where your data lives, or how retrieval is ranked, or you want to embed the pipeline deep inside an existing product, roll your own. Mindola is for everyone who wants the outcome without owning the pipeline.

Core capabilities

• Grounded answers with citations. Every answer comes from the owner's material only, and shows its sources. Private material never leaks into citations.
• Honest refusals. Out-of-scope questions get a clear "I don't know" instead of a hallucinated answer.
• Live voice calls. Visitors can talk to a lens in real time, with barge-in (they can interrupt mid-sentence). Owners can use a cloned voice or a stock voice.
• Lead capture built in. Questions the lens cannot answer land in the owner's inbox with the visitor attached, so a lens doubles as light CRM.
• Optional payments. Owners can charge visitors through Stripe Connect, using their own Stripe account with per-lens pricing. Off by default.
• 10 app languages. The app UI supports English, Dutch, German, Spanish, French, Arabic, Japanese, Korean, Turkish, and Chinese.
• Many uses from one link. The same lens can answer for your website, your docs, or

... View full README on GitHub