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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