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Connect AI assistants to Narrative for dataset search, access control, and NQL queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Narrative MCP Server" yet — see the docs or source repo.
Using the Narrative MCP Server, list the datasets I can currently access and briefly describe their names and purposes.
A list of accessible datasets with a short description for each one.
Search the Narrative platform for attributes related to "location" and list the attribute names and their datasets.
A list of matching attributes, including which datasets they belong to.
Run the following NQL query through the Narrative MCP Server and summarize the results in plain language: [paste NQL query here]
The query results plus a concise, easy-to-understand summary.
Before starting analysis, a data analyst can list accessible datasets and search relevant attributes to understand what data is available on the platform. This reduces manual lookup and speeds up preparation.
Developers or researchers can use an AI assistant with this MCP tool to run NQL queries and explain the results. It fits workflows where data retrieval and initial interpretation happen inside a conversation.
When a team needs to review or adjust data access controls, this tool can be used to manage access rules. It is suitable for permission checks and maintenance within a data collaboration platform.
It connects AI assistants to Narrative's data collaboration platform. Known capabilities include searching attributes, listing datasets, managing access rules, and running NQL queries.
Based on the description, you need access to Narrative's Data Collaboration Platform and a way to use this server through MCP. For exact installation or authentication requirements, see the source repository.
It is designed for Narrative's data collaboration workflows rather than generic text search. It also supports dataset browsing, access rule management, and NQL query execution.
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