A complete AI persona memory management system combining a high-performance hybrid vector-graph database server with advanced LangGraph workflow
If you want an AI assistant working directly with Zero Vector 3, the zero vector 3 mcp server is the bridge. A complete AI persona memory management system combining a high-performance hybrid vector-graph database server with advanced LangGraph workflow orchestration and a Model Context Protocol (MCP) interface for sophisticated AI memory, relationship understanding, and multi-agent coordination.
A complete AI persona memory management system combining a high-performance hybrid vector-graph database server with advanced LangGraph workflow orchestration and a Model Context Protocol (MCP) interface for sophisticated AI memory, relationship understanding, and multi-agent coordination.
Once connected, the assistant can call these 4 tools directly:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — The Installation tool exposed by this serverDocumentation — The Documentation tool exposed by this serverTroubleshooting — The Troubleshooting tool exposed by this serverThe server is distributed via npm as npm, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 7 environment variables: ZERO_VECTOR_BASE_URL, ZERO_VECTOR_API_KEY, ZERO_VECTOR_V3_BASE_URL, ZERO_VECTOR_V3_API_KEY, POSTGRES_URL, REDIS_URL, OPENAI_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
Knowledge and memory servers address the most frustrating trait of language models — walking into every conversation with no recollection of the last one. Zero Vector 3 sits in that group, and the shape of its toolset — Prerequisites, Installation, Documentation among others — tells you what it is really for. Worth comparing against the other knowledge memory servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Installation | The Installation tool exposed by this server. |
| Documentation | The Documentation tool exposed by this server. |
| Troubleshooting | The Troubleshooting tool exposed by this server. |
{
"mcpServers": {
"zero-vector-v3": {
"command": "node",
"args": ["C:/path/to/zero-vector-MCP/MCP/src/index.js"],
"env": {
"ZERO_VECTOR_BASE_URL": "http://localhost:3000",
"ZERO_VECTOR_API_KEY": "your_zero_vector_2_api_key",
"ZERO_VECTOR_V3_BASE_URL": "http://localhost:3001",
"ZERO_VECTOR_V3_API_KEY": "your_zero_vector_3_api_key"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ZERO_VECTOR_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| ZERO_VECTOR_API_KEY | Credential the server authenticates with. | Yes |
| ZERO_VECTOR_V3_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| ZERO_VECTOR_V3_API_KEY | Credential the server authenticates with. | Yes |
| POSTGRES_URL | Endpoint or connection string the server talks to. | Yes |
| REDIS_URL | Endpoint or connection string the server talks to. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.