ainative-memory-mcp
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ZERODB_API_KEY | No | ZeroDB API key (auto-provisions if missing) | |
| ZERODB_API_URL | No | API URL (default: https://api.ainative.studio) | |
| ZERODB_PROJECT_ID | No | ZeroDB project ID |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_entitiesA | Create multiple new entities in the knowledge graph. Entities are the fundamental nodes with a name, type, and list of observations. Stored in ZeroDB cloud — persists across sessions and devices. |
| create_relationsA | Create multiple new relations between entities in the knowledge graph. Relations should be in active voice. |
| add_observationsB | Add new observations to existing entities in the knowledge graph. |
| delete_entitiesA | Delete multiple entities and their associated relations from the knowledge graph. |
| delete_observationsB | Delete specific observations from entities in the knowledge graph. |
| delete_relationsB | Delete multiple relations from the knowledge graph. |
| read_graphA | Read the entire knowledge graph from ZeroDB cloud storage. |
| search_nodesA | Search for nodes in the knowledge graph based on a text query. Matches against entity names, types, and observation content (case-insensitive substring match). |
| open_nodesB | Open specific nodes in the knowledge graph by their names. |
| search_nodes_semanticA | Search for nodes in the knowledge graph using semantic vector similarity. Unlike search_nodes which does exact text matching, this finds entities by meaning — e.g., searching "machine learning frameworks" would find entities about "PyTorch" or "TensorFlow" even without those exact words. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 10 tools
Each tool has a distinct purpose: creating entities, relations, or observations; deleting them; searching via text or semantic similarity; opening nodes; and reading the entire graph. No overlaps.
All tool names follow a consistent verb_noun pattern (e.g., add_observations, create_entities, delete_relations, search_nodes). No mixing of conventions.
10 tools is well-scoped for a knowledge graph agent, covering CRUD and search operations without being overwhelming or sparse.
The set covers create, read, delete, and search operations, but lacks explicit update tools for entities and relations (only observations can be added/deleted). Minor gap.