mem0ai/mem0-mcp
mem0-mcp is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.
If you are the rightful owner of mem0-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This demonstrates a structured approach for using an MCP server with mem0 to manage coding preferences efficiently.
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Tools
Functions exposed to the LLM to take actions
add_coding_preference
Add a new coding preference to mem0. This tool stores code snippets, implementation details, and coding patterns for future reference. Store every code snippet. When storing code, you should include: - Complete code with all necessary imports and dependencies - Language/framework version information (e.g., "Python 3.9", "React 18") - Full implementation context and any required setup/configuration - Detailed comments explaining the logic, especially for complex sections - Example usage or test cases demonstrating the code - Any known limitations, edge cases, or performance considerations - Related patterns or alternative approaches - Links to relevant documentation or resources - Environment setup requirements (if applicable) - Error handling and debugging tips The preference will be indexed for semantic search and can be retrieved later using natural language queries.
get_all_coding_preferences
Retrieve all stored coding preferences for the default user. Call this tool when you need complete context of all previously stored preferences. This is useful when: - You need to analyze all available code patterns - You want to check all stored implementation examples - You need to review the full history of stored solutions - You want to ensure no relevant information is missed Returns a comprehensive list of: - Code snippets and implementation patterns - Programming knowledge and best practices - Technical documentation and examples - Setup and configuration guides Results are returned in JSON format with metadata.
search_coding_preferences
Search through stored coding preferences using semantic search. This tool should be called for EVERY user query to find relevant code and implementation details. It helps find: - Specific code implementations or patterns - Solutions to programming problems - Best practices and coding standards - Setup and configuration guides - Technical documentation and examples The search uses natural language understanding to find relevant matches, so you can describe what you're looking for in plain English. Always search the preferences before providing answers to ensure you leverage existing knowledge.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client
