BloodHound MCP
Enables Large Language Models to perform natural language queries and advanced analysis on Active Directory and Azure Active Directory environments by integrating with Neo4j-stored data through the Model Context Protocol.
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Integrates Model Context Protocol with Active Directory security analysis to enable natural language querying, comprehensive attack path discovery, and detailed reporting using BloodHound data and Neo4j.
Added May 30, 2025
Provides a read-only Model Context Protocol (MCP) server enabling large language models to query live Azure Active Directory data via natural language without SQL, leveraging the CData JDBC Driver for seamless relational access.
Added May 29, 2025
Enables large language models to report Azure resource impacts by parsing natural language requests, authenticating via DefaultAzureCredential, and creating detailed workload impact reports through the Azure Management API using the Model Context Protocol.
Added May 30, 2025
Enables seamless, secure interaction between AI language models and Azure Cosmos DB by translating natural language queries into database commands using the Model Context Protocol.
Added May 30, 2025
Enables large language models to seamlessly query, inspect schemas, manage indexes, and perform document operations on MongoDB databases using the Model Context Protocol for efficient natural language interaction.
Added May 30, 2025