Research with sources
Find ideas, retrieve passages and return to the original page.
Explore the case ↗MCP is a standard that connects AI assistants to your content and tools. People ask in their own words; the assistant consults your sources or uses operations you have authorised.
See it in ChatGPT ↓Which document contains this idea?
Fictional example · natural-language question
The assistant interprets the question and selects available tools to consult sources.
Query + permitted tools
MCP retrieves information; the assistant writes.
The protocol connects tools and sources according to defined permissions; retrieval provides evidence to the assistant.
Retrieved passages with references
Source / interpretation / human decision
The assistant prepares the answer from retrieved material. People review references and make decisions.
You can offer licensed specialist queries, research services for institutions or learning support connected to your publications. MCP connects these services to assistants; baiq provides the foundation to build them on your corpus. Together we define what to offer, to whom and how to charge for it, under your access and usage terms.
From finding a source to preparing a lesson. Two examples of how bq’s connectors put content to work for people.

Original works · Balthasar & Speyr. Adapted screenshot: connector icon and labels replaced with BS branding. A reader asks in Spanish and reaches the German source with its reference.
Enlarge screenshot ↗
The teaching MCP supplies content and references; ChatGPT prepares the exam and a separate answer key. Teachers review and adapt the material before using it.
Anonymised example based on a real conversation; editorial references replaced with fictional details.
Enlarge image ↗Captured on 11 October 2026. Responses depend on available content and should be checked against their sources. ChatGPT is the assistant shown; the connectors are developed by bq.
These capabilities are already developed in specialist projects. With baiq, we adapt them to your content, teams and access rules.
Find ideas, retrieve passages and return to the original page.
Explore the case ↗Consult books and guidance so the assistant can prepare materials for teacher review.
Explore the case ↗Diagnose assets and issues, compare versions and prepare changes for review.
Explore the case ↗Retrieve glossaries, author profiles and previous translations within the assistant.
Explore the case ↗Discover works and editions in natural language, with references and links.
Explore the case ↗Issues arrive analysed, with queries of relevant logs and records, proposed replies and prepared escalations.
Explore the case ↗The baiq AI layer, preparation of your sources and development of the specialist connector. We define what the assistant can read or do and how results can be checked.
For example, a publisher could offer universities an annual licence to search a specialist collection, or add a paid practice service to its educational materials. The customer pays for the service built on your knowledge. MCP makes it accessible through an assistant; the commercial model, access and billing are designed as part of your solution.
Your organisation defines permitted content, users and operations. A connector can be read-only or include authorised actions. Access controls are implemented and verified for each project.
It requires an MCP-compatible assistant and a configured connection. Available features depend on the assistant, its configuration and user permissions.
No. MCP connects sources and tools. We design retrieval with references and review points so people can check answers and retain their judgment.