Memory Cache
This memory cache server, developed by Tosin Akinosho, provides an efficient caching layer for Model Context Protocol (MCP) interactions to reduce token consumption. Built with TypeScript and leveraging the MCP SDK, it implements an in-memory storage system with LRU eviction, TTL management, and automatic cache cleanup. The server focuses on optimizing repeated data access patterns in AI workflows, enabling faster response times and lower costs. It's particularly useful for applications involving frequent file operations, repeated computations, or access to static datasets, allowing seamless integration with any MCP client and language model without requiring changes to existing code.
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
- file-system
- Source
- PulseMCP
- Repository
- github.com/tosin2013/mcp-memory-cache-server
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Memory Cache 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.