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usecortex

Hydra DB MCP Server

by usecortex

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HYDRA_DB_API_KEYYesYour Hydra DB API key
HYDRA_DB_LOG_LEVELNoLog level: DEBUG, INFO, WARN, ERRORERROR
HYDRA_DB_TENANT_IDYesYour Hydra DB tenant identifier
HYDRA_DB_SUB_TENANT_IDNoSub-tenant for data partitioninghydra-db-mcp

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
hydradb_queryA

Search through Hydra DB State-of-the-art agentic memories. Returns relevant chunks with graph-enriched context including entity paths and knowledge graph relations. Use this to find previously stored information, past conversations, user preferences, or any knowledge that has been ingested into Hydra DB memory. Supports both fast semantic search and deeper thinking mode with graph traversal.

hydradb_ingestA

Save important information to Hydra DB State-of-the-art agentic memory. Use this to persist facts, preferences, decisions, notes, or any text the user wants remembered across sessions. Hydra DB automatically extracts insights, preferences, and builds a knowledge graph from the stored content. Supports plain text and markdown. To ingest a conversation instead of a single note, provide turns (user/assistant pairs) rather than text.

hydradb_listA

List stored memories or ingested knowledge sources in Hydra DB. Use kind to choose which family to browse.

hydradb_inspectA

Fetch the full content of a specific source by its source ID from Hydra DB. Returns the original text content that was ingested. Use this to retrieve the complete content of a previously stored source.

hydradb_deleteB

Delete a memory or knowledge source from Hydra DB by its ID. Use kind to select which family the ID belongs to. This action is irreversible.

hydra_db_searchA

DEPRECATED — use hydradb_query instead. Search through Hydra DB State-of-the-art agentic memories. Returns relevant chunks with graph-enriched context including entity paths and knowledge graph relations. Use this to find previously stored information, past conversations, user preferences, or any knowledge that has been ingested into Hydra DB memory. Supports both fast semantic search and deeper thinking mode with graph traversal.

hydra_db_storeA

DEPRECATED — use hydradb_ingest instead. Save important information to Hydra DB State-of-the-art agentic memory. Use this to persist facts, preferences, decisions, notes, or any text the user wants remembered across sessions. Hydra DB automatically extracts insights, preferences, and builds a knowledge graph from the stored content. Supports plain text and markdown.

hydra_db_ingest_conversationA

DEPRECATED — use hydradb_ingest instead. Ingest one or more user-assistant conversation turns into Hydra DB memory. Hydra DB will extract insights, preferences, and knowledge graph entities from the conversation. Use this to store conversation history so it can be recalled later. Each turn is a pair of user message and assistant response.

hydra_db_list_memoriesA

DEPRECATED — use hydradb_list instead. List all stored user memories in Hydra DB. Returns memory IDs and their content. Use this to browse what has been stored, verify memories exist, or find memory IDs for deletion.

hydra_db_list_sourcesA

DEPRECATED — use hydradb_list instead. List all ingested sources in Hydra DB memory. Returns source IDs, titles, types, and metadata. Use this to see what data sources have been ingested and to find source IDs for fetching content.

hydra_db_fetch_contentA

DEPRECATED — use hydradb_inspect instead. Fetch the full content of a specific source by its source ID from Hydra DB. Returns the original text content that was ingested. Use this to retrieve the complete content of a previously stored source.

hydra_db_delete_memoryA

DEPRECATED — use hydradb_delete instead. Delete a specific user memory from Hydra DB by its memory ID. This action is irreversible.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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