Model Context Protocol · MCP

Your knowledge.
In the conversation.

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 ↓
A journey through the processExplore each stage or play the walkthrough.
baiq
SOURCESDocument and context
QUESTION / CONTEXT

Which document contains this idea?

THIS STAGE’S RESULT

Query of authorised sources

Fictional example · natural-language question

Workflow illustration · fictional examples, except identified evidence
01 / 03 · Ask

People start with their need.

The assistant interprets the question and selects available tools to consult sources.

Query of authorised sources
02 / 03 · Connect

MCP brings the source closer.

The protocol connects tools and sources according to defined permissions; retrieval provides evidence to the assistant.

Passage + document + location
baiq
SOURCESDocument and context
QUESTION / CONTEXT

Retrieved passages with references

THIS STAGE’S RESULT

Answer + sources to check it

Source / interpretation / human decision

Workflow illustration · fictional examples, except identified evidence
03 / 03 · Check

Responses lead back to the source.

The assistant prepares the answer from retrieved material. People review references and make decisions.

Answer + sources to check it
Technology prepares and organises. People review and decide.1 / 3

Your knowledge.
New revenue streams.

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.

MCP servers developed by bq · Examples in ChatGPT

This is how it works.
Inside ChatGPT.

From finding a source to preparing a lesson. Two examples of how bq’s connectors put content to work for people.

Adapted ChatGPT screenshot: a query to the BS connector locates an idea by Balthasar in Theologik I, with edition, page and an original-source link
01

From a remembered idea to the original page

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.

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Anonymised ChatGPT example: preparing an exam from editorial content; fictional references
02
Teaching assistance

From the textbook to a classroom resource

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.

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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.

One connection, different uses

What we can connect
for your organisation.

These capabilities are already developed in specialist projects. With baiq, we adapt them to your content, teams and access rules.

Balthasar & Speyr

Research with sources

Find ideas, retrieve passages and return to the original page.

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Teaching assistance

Prepare lessons

Consult books and guidance so the assistant can prepare materials for teacher review.

Explore the case ↗
OLA · Grupo Anaya

Support editorial teams

Diagnose assets and issues, compare versions and prepare changes for review.

Explore the case ↗
Editorial translation

Translate in context

Retrieve glossaries, author profiles and previous translations within the assistant.

Explore the case ↗
Balthasar & Speyr

Open up the catalogue

Discover works and editions in natural language, with references and links.

Explore the case ↗
Specialist support

Support with technical context

Issues arrive analysed, with queries of relevant logs and records, proposed replies and prepared escalations.

Explore the case ↗

The essentials, explained.

What does bq provide?

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.

How could my corpus generate revenue?

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.

Who controls access?

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.

Does it work in every assistant?

It requires an MCP-compatible assistant and a configured connection. Available features depend on the assistant, its configuration and user permissions.

Does MCP guarantee correct answers?

No. MCP connects sources and tools. We design retrieval with references and review points so people can check answers and retain their judgment.

Read the MCP standard ↗
Your knowledge could open a new business opportunity

You have the knowledge.
Let’s open new revenue streams.

Let’s explore your opportunity ↗