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Dgraph

Enables LLM applications to interact with a Dgraph database using the Model Context Protocol (MCP).

About

This tool implements an MCP server, providing a bridge between Large Language Model (LLM) applications and a Dgraph graph database. It allows LLMs to execute DQL queries, perform data mutations, alter the database schema, and retrieve the current schema definition. By communicating through standard input/output, it facilitates seamless integration with various LLM frameworks, enabling applications to leverage the power of graph databases for enhanced contextual understanding and data manipulation.

Key Features

  • Performs mutations on the Dgraph database.
  • Retrieves the current Dgraph schema.
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  • Executes DQL queries against a Dgraph database.
  • Alters the Dgraph schema.
  • Integrates with LLM applications via standard input/output.

Use Cases

  • Allow LLMs to query a knowledge graph stored in Dgraph.
  • Give LLMs the ability to adapt the Dgraph schema based on application needs.
  • Enable LLMs to modify data within a Dgraph database.
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