# Rememberizer Vector Store MCP Server

A [Model Context Protocol](https://www.anthropic.com/news/model-context-protocol) server for LLMs to interact with [Rememberizer Vector Store](https://docs.rememberizer.ai/developer/vector-stores).

## Components

### Resources

The server provides access to your Vector Store's documents in [Rememberizer](https://docs.rememberizer.ai/).

### Tools

1. `rememberizer_vectordb_search`

    - Search for documents in your Vector Store by semantic similarity
    - Input:
        - `q` (string): Up to a 400-word sentence to find semantically similar chunks of knowledge
        - `n` (integer, optional): Number of similar documents to return (default: 5)

2. `rememberizer_vectordb_agentic_search`

    - Search for documents in your Vector Store by semantic similarity with LLM Agents augmentation
    - Input:
        - `query` (string): Up to a 400-word sentence to find semantically similar chunks of knowledge. This query can be augmented by our LLM Agents for better results.
        - `n_chunks` (integer, optional): Number of similar documents to return (default: 5)
        - `user_context` (string, optional): The additional context for the query. You might need to summarize the conversation up to this point for better context-awared results (default: None)

3. `rememberizer_vectordb_list_documents`

    - Retrieves a paginated list of all documents
    - Input:
        - `page` (integer, optional): Page number for pagination, starts at 1 (default: 1)
        - `page_size` (integer, optional): Number of documents per page, range 1-1000 (default: 100)
    - Returns: List of documents

4. `rememberizer_vectordb_information`

    - Get information of your Vector Store
    - Input: None required
    - Returns: Vector Store information details

5. `rememberizer_vectordb_create_document`

    - Create a new document for your Vector Store
    - Input:
        - `text` (string): The content of the document
        - `document_name` (integer, optional): A name for the document

6. `rememberizer_vectordb_delete_document`

    - Delete a document from your Vector Store
    - Input:
        - `document_id` (integer): The ID of the document you want to delete

7. `rememberizer_vectordb_modify_document`

    - Change the name of your Vector Store document
    - Input:
        - `document_id` (integer): The ID of the document you want to modify

## Installation

**Manual Installation:** Use uvx command to install the Rememberizer Vector Store MCP Server.

```bash
uvx mcp-rememberizer-vectordb
```

**Via MseeP AI Helper App:** If you have MseeP AI Helper app installed, you can search for "Rememberizer VectorDb" and install the mcp-rememberizer-vectordb.

![MseeP AI Helper App](https://www.gitbook.com/cdn-cgi/image/dpr=2,width=760,onerror=redirect,format=auto/https%3A%2F%2Ffiles.gitbook.com%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FyNqpTh7Mh66N0RnO0k24%252Fuploads%252F57zmQtY3EjOCl5vzsKW4%252FScreenshot%25202025-07-29%2520at%252015.14.07.png%3Falt%3Dmedia%26token%3D0cb19fc4-d430-4a48-8c63-6bb9051c01ee)

## Configuration

### Environment Variables

The following environment variables are required:

-   `REMEMBERIZER_VECTOR_STORE_API_KEY`: Your Rememberizer Vector Store API token

You can register an API key by create your own [Vector Store in Rememberizer](https://docs.rememberizer.ai/developer/vector-stores).

### Usage with Claude Desktop

Add this to your `claude_desktop_config.json`:

```json
"mcpServers": {
  "rememberizer": {
      "command": "uvx",
      "args": ["mcp-rememberizer-vectordb"],
      "env": {
        "REMEMBERIZER_VECTOR_STORE_API_KEY": "your_rememberizer_api_token"
      }
    },
}
```

## Usage with MseeP AI Helper App

Add the env `REMEMBERIZER_VECTOR_STORE_API_KEY` to `mcp-rememberizer-vectordb`.

![MseeP AI Helper App Configuration](https://www.gitbook.com/cdn-cgi/image/dpr=2,width=760,onerror=redirect,format=auto/https%3A%2F%2Ffiles.gitbook.com%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FyNqpTh7Mh66N0RnO0k24%252Fuploads%252FtvMRtRRYOv3d4Ud3oI1U%252FScreenshot%25202025-07-29%2520at%252015.16.16.png%3Falt%3Dmedia%26token%3D83fdb837-ef9d-47bd-bd7e-7795a90bb284)

## License

This MCP server is licensed under the [Apache License 2.0](LICENSE).