Blinkly
Create and manage knowledge graphs with customizable memory paths and timestamping for improved data organization
The Memory Custom MCP Server is an advanced implementation designed to extend and optimize the knowledge management capabilities of the base Memory server within the Model Context Protocol (MCP) framework. This server introduces new functionalities that significantly streamline and organize memory data, making it a powerful tool for AI applications such as Claude Desktop, Continue, Cursor, and more. By enhancing organizational structure and tracking metadata, this MCP server offers superior interaction and decision-making support to AI systems in various domains.
One of the key features introduced by the Memory Custom MCP Server is the ability for users to specify different memory file paths for multiple projects. This feature enhances organizational flexibility, allowing AI applications to manage project-specific memories efficiently. By segregating data logically, the server ensures that each project maintains a clean and organized knowledge graph, which is critical for maintaining integrity and privacy.
The Memory Custom MCP Server now includes timestamp functionality, which tracks when each memory entry was created or modified. This feature provides valuable context to logged interactions, enabling more precise tracking of data changes over time. The timestamps are crucial for auditing and ensuring that the stored knowledge remains accurate and relevant, a key aspect in AI-driven workflows where historical data integrity is paramount.
The Memory Custom MCP Server is designed as an extension layer atop the base Memory server within the MCP framework. By adhering to MCP standards, this server ensures seamless integration with various AI applications while preserving protocol compatibility. This implementation involves defining and implementing specific MCP endpoints that extend functionality without disrupting existing server structures.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server - Memory Custom]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph TD;
S{User Input} -.-> M[Memory Custom Server];
M --> T[Timestamping Module];
M --> E[Entity Management];
M --> R[Relation Management];
M -- Interaction -> O[Output to AI Application]
This section provides detailed steps for setting up the Memory Custom MCP Server, including prerequisites and installation instructions. This setup guide is crucial for developers looking to integrate this server into their AI applications.
The primary prerequisite for installing the Memory Custom MCP Server is Node.js version 16 or higher. Ensure that your development environment meets these requirements before proceeding with any further steps.
To install the Memory Custom MCP Server automatically via Smithery, use the following command:
npx -y @smithery/cli install @BRO3886/mcp-memory-custom --client claude
Alternatively, manual installation is supported as well. Start by cloning the repository and setting up dependencies manually.
git clone [email protected]:BRO3886/mcp-memory-custom.git
cd mcp-memory-custom
Run the following command to install all required Node.js modules:
npm install
Set the MEMORY_FILE_PATH environment variable if you want to use a custom file path for your memory. If not set, the server will default to using memory.json.
The Memory Custom MCP Server shines in scenarios where data organization and traceability are essential. Here are two practical use cases showcasing how this server enhances real-world AI workflows:
A personal concierge assistant needs to maintain a comprehensive memory of interactions with users, ensuring it can recall past conversations, understand user preferences, and provide personalized services. By integrating the Memory Custom MCP Server, the assistant can efficiently manage these interactions, providing more accurate and context-aware responses.
In legal research applications, maintaining detailed records of case histories is vital. The server’s timestamping feature allows researchers to track each document update meticulously, ensuring compliance with data integrity standards. Additionally, custom memory paths help segregate cases logically, making retrieval faster and more organized.
The Memory Custom MCP Server is compatible with several popular MCP clients, including Claude Desktop, Continue, Cursor, and more. Here’s a compatibility matrix indicating support for various clients:
| MCP Client | Resources | Tools | Prompts | Status |
|---|---|---|---|---|
| Claude Desktop | ✅ | ✅ | ✅ | Full Support |
| Continue | ✅ | ✅ | ✅ | Full Support |
| Cursor | ❌ | ✅ | ❌ | Tools Only |
The Memory Custom MCP Server is optimized for both speed and efficiency, providing robust performance through its underlying technology stack. The custom memory paths and timestamping features ensure that interactions are handled swiftly while maintaining accuracy.
This server ensures full compatibility across various AI applications, adhering to the MCP protocol specifications closely. This alignment guarantees a seamless integration experience, supporting diverse client environments without performance hiccups.
For advanced users and developers, the Memory Custom MCP Server offers several configuration options tailored to specific needs:
Add the following snippet to your claude_desktop_config.json or .cursor/mcp.json file for proper server initialization:
{
"mcpServers": {
"memory": {
"command": "node",
"args": ["/path/to/mcp-memory-custom/dist/index.js"]
}
}
}
Ensure sensitive information such as memory files are stored securely. Use appropriate encryption methods and secure access controls to protect data from unauthorized access.
Q1: How do I integrate the Memory Custom MCP Server with my AI application? A1: You can install it via Smithery or clone and manually set up the repository. Follow the documentation for specific client compatibility instructions.
Q2: Can I customize memory file paths for different projects?
A2: Yes, you can use the MEMORY_FILE_PATH environment variable to customize memory file paths project-specifically.
Q3: How do timestamps help in tracking data changes? A3: Timestamps provide a clear timeline of when each memory entry was updated or created, aiding in auditing and ensuring data integrity.
Q4: Is there any performance impact with the added features? A4: The custom paths and timestamping introduce minimal overhead. Our optimizations ensure efficient handling without affecting overall performance significantly.
Q5: How is this server configured for security? A5: Critical files are stored securely using encryption, and access controls are in place to prevent unauthorized data manipulation.
The Memory Custom MCP Server welcomes contributions from both new and seasoned developers. Contributions can range from bug fixes, feature enhancements, documentation updates, or full implementation of new functionality. Follow these guidelines for making impactful changes:
Explore the broader MCP ecosystem and access additional resources to enhance your understanding and integration capabilities:
By leveraging the Memory Custom MCP Server, developers can build more intelligent and context-aware AI applications that are responsive, efficient, and secure.
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