Memory by File
This MCP server for memory management, developed by an unnamed creator, provides a simple interface for AI assistants to store and retrieve contextual information in a text file. It integrates with the Model Context Protocol to offer operations for adding, searching, deleting, and listing memories. The server handles file I/O operations and implements basic text-based storage, allowing AI systems to maintain persistent context across conversations without complex database setups. By focusing on simplicity and ease of use, this implementation enables quick deployment for scenarios requiring lightweight, file-based memory storage. It is particularly useful for chatbots, personal assistants, or any application where an AI needs to recall information from previous interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/g0t4/mcp-server-memory-file
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Memory by File from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.