Context-Aware AI with Dawiso MCP (Model Context Protocol)

Create reliable AI applications that truly understand your business. With Dawiso's MCP Server, you can connect agents and large language models (LLMs) directly to your enterprise data and business knowledge.

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Built for Reliable AI

With the Dawiso MCP Server, your chatbots and agents gain the context and capabilities they need to deliver accurate results.

No Extra Deployment Fees

Use MCP with your existing Dawiso setup and any MCP-enabled chatbot or LLM, no hidden fees, just plug and play.

Trusted by AI Leaders

Already used and tested by pioneers in AI for data, ensuring proven reliability in real-world scenarios.

Read and Write Tool

Includes both read and write tools, making it easy to connect chatbots or agents directly with your enterprise data.

Explore Key Capabilities

Expose business context to your AI through a single connection. Access metadata, lineage, and semantic models.

Search Data in Natural Language

Query your data and business knowledge using natural language in LLMs or internal chatbots. Instantly search datasets, dashboards, fields, and metrics across your entire catalog through a single API.

Access Only Allowed and Up-to-date Information

Provide AI agents with contextual details, such as descriptions, tags, or owners, so they reason with the same trusted information your data team relies on.

Context Mapping

Dawiso doesn't just pass metadata. It guides the chatbot to the right tables, fields, or definitions that are relevant.

Seamless Integration with Your Existing Tools

The MCP Server works with popular AI clients and development environments like Claude Desktop, Cursor, GitHub Copilot in VS Code and Keboola. It also connects directly to your existing Dawiso setup with no extra deployment required.

Multi-Source Connections

Connect not just Dawiso, but also databases and other systems to your chatbot or LLM through MCP. So, Dawiso can navigate your AI in all business and data information you have.

Read and Write Tools

MCP lets agents both retrieve information (read) and make updates (write) to your enterprise data context. From searching metadata to enriching descriptions or triggering workflows.

Frequently Asked Questions.

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What is MCP (Model Context Protocol)?

MCP is an open standard that connects AI agents and LLMs with external tools, data, and business context. Dawiso provides its own MCP Server, allowing your AI to access and reason with your enterprise data and metadata. You can read more about it in this article.

How does Dawiso use MCP?

With Dawiso's MCP Server, your metadata, glossary, lineage, and documentation can be exposed to MCP-enabled chatbots and LLMs. Dawiso also helps the AI know which tables, fields, or metrics are relevant, grounding its answers in real business context.

Which AI tools are supported?

MCP is compatible with many AI clients and development environments, including for example, Claude Code.

Do I need extra setup or licenses?

No. MCP runs with your existing Dawiso deployment when you have a Corporate or Enterprise licence. There are no additional deployment fees.

Can AI agents also update Dawiso through MCP?

Yes. Dawiso's MCP Server supports both read and write operations, agents can query metadata, but also enrich descriptions, apply tags, or trigger workflows.