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Model Context Protocol

Context-Aware AI with
Dawiso MCP

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.

Dawiso MCP server exposing data sources to AI agents through a single API connection

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Get a fast, interactive walkthrough of this feature in Dawiso. Swipe through to see how it works and what problems it helps you solve.

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
  • Works with your existing Dawiso setup
  • Compatible with any MCP-enabled chatbot or LLM
  • No hidden fees - plug and play
Trusted by AI Leaders
  • Tested by pioneers in AI for data
  • Production-grade in real-world scenarios
  • Proven reliability across deployments
Read and Write Tool
  • Agents query metadata, glossary, lineage
  • Enrich descriptions and apply tags
  • Trigger workflows and approvals

Explore Key Capabilities

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

1

Search Data in Natural Language

2

Access Only Allowed and Up-to-date Information

customers✓ Allowed
salaries_2026Restricted
orders✓ Allowed
Live · synced 2s ago
3

Context Mapping

4

Seamless Integration with Your Existing Tools

ClaudeClaudeCursorCursorVS CodeVS CodeChatGPTChatGPT
+ any MCP-enabled client
Connect once via MCP · no custom glue
5

Multi-Source Connections

MCP
SnowflakeSnowflake
DatabricksDatabricks
BigQueryBigQuery
Microsoft FabricMicrosoft Fabric
6

Read and Write Tools

Read
query metadata
fetch lineage
Write
apply tags
trigger workflow

Frequently Asked Questions

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Still need help? Contact us, and we'll get back to you quickly.
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.

Explore Our Other Features

Compose your ideal solution. Dawiso ensures you won't get overwhelmed in the process. Focus on the features you need now. Add anything else later.

MCP (Model Context Protocol)

Connect agents and LLMs directly to your enterprise data and business knowledge.

You are here

Data & Analytics Catalog

Create a unified view of your data assets and gain insights faster with automated data discovery.

Business Glossary

Clear context is essential to ensure everyone interprets terms consistently and accurately.

Interactive Data Lineage

Visualizing how data moves, transforms, and connects across systems, applications, and reports.

Data Products

Get governance from experts. Easily search for the data products you need for your project.

AI-Powered Features

AI-assisted documentation, intelligent search, and automated categorization help you work smarter.

Enterprise Deployment

Designed for enterprise trust, built to fit your architecture.

Unstructured Data Governance

Govern structured and unstructured data on one platform with Dawiso.

Next step

Trusted data starts here.

Pick one problem. We map the data first, fix what's broken, then help your team trust every number.

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