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Hebbrix

Hebbrix MCP Server

Official
by Hebbrix

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HEBBRIX_CONFIGNoWhere agent-mode credentials are saved.~/.hebbrix/config.json
HEBBRIX_API_KEYNoYour Hebbrix bearer token. If not set, agent mode mints one.
HEBBRIX_API_BASENoAPI endpoint override.https://api.hebbrix.com/v1
HEBBRIX_MCP_HOSTNoBind host (HTTP transports).127.0.0.1
HEBBRIX_MCP_PORTNoBind port (HTTP transports).8080
HEBBRIX_COLLECTION_IDNoDefault collection for writes/reads. If not set, agent mode sets one.
HEBBRIX_MCP_MULTI_TENANTNoIf set to '1' or 'true', enables hosted multi-tenant mode.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
hebbrix_rememberA

Store a memory. Use this whenever the user shares a fact, decision, or preference worth recalling later. Prefer one clear fact per call.

verbatim=True stores the text exactly as given, skipping fact-extraction. Returns {"id", "status", "importance"} or {"error"}.

hebbrix_searchA

Semantic search over memories. Always call this BEFORE answering questions that depend on prior context, decisions, or user preferences.

Returns {"query", "count", "results": [{"id","content","score"}]}.

hebbrix_getB

Fetch one memory by id, including its full content and metadata.

hebbrix_updateA

Update a memory in place (keeps version history). Use this to CORRECT a stored fact instead of remembering a contradicting copy. Pass the new content.

hebbrix_forgetB

Delete a memory by id.

hebbrix_listC

List recent memories in a collection.

hebbrix_historyB

Show the version history of a memory (how it changed over time, including supersessions). Useful to see what a fact used to be.

hebbrix_search_entitiesA

List entities in the knowledge graph (people, organizations, tools, places), optionally filtered by entity_type. Use for "who/what do I know about" questions.

hebbrix_entity_timelineA

Bi-temporal timeline for one entity: what facts were true about it and when. Use this for "what changed" / "what was true at time X" questions about a person, company, or thing.

hebbrix_graph_queryA

Query the knowledge graph for relationships and facts. Give a natural-language query OR an entity (+ optional relation_type). Pass an ISO timestamp to ask what was true at that point in time (bi-temporal). depth = graph hops (1-5).

hebbrix_contradictionsA

Surface contradicting facts in the knowledge graph (e.g. two different values for the same attribute). Pass a memory_id to check one memory, or omit to scan. Use before trusting a fact that feels ambiguous.

hebbrix_confidenceA

Ask how confident the agent should be before acting on something, grounded in stored memory and past decision outcomes. Call this before a consequential autonomous action. Returns a confidence score and a recommended action.

hebbrix_log_decisionA

Record a decision the agent made and, if known, its outcome (success | failure | partial). This feeds hebbrix_confidence so future recommendations improve. Log both the choice and how it turned out.

hebbrix_list_collectionsA

List the collections (memory spaces / tenants) available to this API key.

hebbrix_account_statusA

Tier, usage, limits, and expiry for this agent's account. In agent mode (auto-provisioned account), relay the claim command to the human when usage status is 'warning' or worse — claiming is one command and keeps all memories.

Prompts

Interactive templates invoked by user choice

NameDescription
contextInject the user's profile as context and nudge the model to use memory.

Resources

Contextual data attached and managed by the client

NameDescription
profile_resourceThe user's compiled profile (stable preferences + recent facts).

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