Biel.ai
AI chatbot and MCP server for technical documentation. Instant answers from your docs, fewer support tickets, content gap insights.
A startup from Spain that is founded by David Garcia Ruiz.
AI chatbot and MCP server for technical documentation. Instant answers from your docs, fewer support tickets, content gap insights.
A startup from Spain that is founded by David Garcia Ruiz.
This page is designed to help you find out whether Biel.ai is good and if it is the right choice for you.
Biel.ai adds an AI assistant to technical documentation. It indexes your existing docs and lets users ask questions in natural language, returning accurate answers with code snippets, links, and sources instead of a list of search results.
Unlike generic chatbots, Biel.ai is built specifically for developer-facing content. It parses OpenAPI specs, code blocks, configuration examples, and error messages as structured information, so it can answer questions like "why am I getting a 401" rather than only matching keywords.
One indexed source of truth, four ways to query it:
Built-in analytics show which questions users asked, which ones the AI could not answer, and which pages have content gaps, so documentation teams know exactly what to fix.
Security: AES-256 encryption, GDPR compliant, no training on customer data, domain-locked widgets. Used by teams at ScyllaDB, Katalon, Talon.One, Tezos, and CrazyGames. 14-day free trial, no credit card required.
Listed in
AI Chat Widget
Embeddable AI chatbot for docs sites. Works with Docusaurus, Sphinx, MkDocs, Starlight, and any HTML site. Themeable to your brand.
AI Search
Natural language search that returns direct answers with sources and code snippets instead of a list of links.
MCP Server
Makes your documentation queryable from Claude, Cursor, GitHub Copilot, Windsurf, Cline, and any MCP-compatible AI tool.
Slack, Discord & Teams Bots
Native chat apps that answer questions from your docs inside your team or community channels.
REST API
Build AI-powered answers into your own product. Full OpenAPI 3.0 spec included.
Content Gap Analytics
See what users asked, which questions the AI could not answer, and which pages need work.
Technical Content Parsing
Understands OpenAPI specs, code blocks, configuration examples, and error messages as structured data, not flat text.
Auto-Sync Crawling
Automatically re-crawls your docs so answers stay current when you ship new versions.
Security & Compliance
AES-256 encryption, GDPR compliant, domain-locked widgets, no training on customer data.
15-Minute Setup
Connect your docs URL, embed a script tag or plugin, and go live. No developer overhead.
Developer-facing companies whose documentation is how their product gets adopted: API and SDK vendors, developer tools, open source projects with commercial backing, and B2B SaaS with technical users. Within those teams, the typical buyers are technical writers and docs leads, developer relations, and support engineering managers who want to deflect repetitive tickets and find content gaps. Teams using Biel.ai include ScyllaDB, Katalon, Talon.One, Tezos, and CrazyGames.
Biel.ai is built on retrieval-augmented generation (RAG) using state-of-the-art large language models, with a document ingestion pipeline that parses OpenAPI specifications, code blocks, and site structure into structured indexes. The embeddable widget ships as a lightweight framework-agnostic web component (biel-search on npm) with wrappers and plugins for React, Docusaurus, Sphinx, and MkDocs. The MCP server implements the Model Context Protocol over streamable HTTP, and the public REST API is documented with an OpenAPI 3.0 spec. Data is encrypted with AES-256 and customer content is never used for model training.
Biel.ai was built by TechDocs Studio, a team that comes from the technical documentation world. We kept seeing the same pattern: companies invest heavily in docs, yet users still open support tickets for answers that are already written, because search only matches keywords while users ask questions. Generic "AI for docs" tools wrap a search index in a chat UI, which works for a help center but fails when your customers are engineers asking about auth errors and API parameters. So we built an AI layer that actually understands technical content, launched publicly in 2024, and have been shipping from customer feedback since, including MCP support so docs meet developers inside the AI tools they already use.
Biel.ai is built specifically for technical documentation, not general customer support. It parses OpenAPI specs, code blocks, configuration examples, and error messages as structured information, so it understands endpoints, parameters, and return types rather than flat paragraphs. It is also one of the few docs AI tools that ships an MCP server out of the box, which makes your documentation queryable directly from Claude, Cursor, GitHub Copilot, Windsurf, and other AI coding tools. One indexed source of truth powers four surfaces: a docs widget, the MCP server, Slack/Discord/Teams bots, and a REST API.
Three reasons. First, depth on technical content: Biel translates between how users ask ("why am I getting a 401") and how docs are organized, and returns the answer with code and sources, not just a page link. Second, reach: the same indexed docs answer questions on your site, inside AI coding tools via MCP, in Slack, Discord, and Teams, and through an API, so you set it up once and cover every channel. Third, actionable analytics: every unanswered question is surfaced as a content gap, so your docs team knows exactly what to fix. Setup takes about 15 minutes with plugins for Docusaurus, Sphinx, MkDocs, and more, and pricing starts at $150/month, well below most enterprise-oriented alternatives.
ScyllaDB Katalon Talon.One Tezos CrazyGames GreptimeDB Securosys
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