What is an MCP Server?
An MCP Server is a Memory Cache Server designed to reduce token consumption by efficiently caching data between language model interactions, working with any MCP client and language model that uses tokens.
How does the MCP Server reduce token consumption?
The server caches data during interactions with language models, reducing the need for repeated data transmission and thus consuming fewer tokens.
Can the MCP Server be customized?
Yes, users can customize various settings such as maximum cache entries, memory usage limits, and time-to-live (TTL) for cached items.
How do I verify if the MCP Server is working?
You can verify its operation by checking for a “Memory Cache MCP server running on stdio” message in the terminal, improved performance, and by performing operations that benefit from caching.
Is the MCP Server part of the UBOS platform?
Yes, the MCP Server is integrated into the UBOS platform, enhancing AI-driven solutions by optimizing language model interactions and reducing token consumption.
Memory Cache Server
Project Details
- ibproduct/ib-mcp-cache-server
- Last Updated: 4/14/2025
Recomended MCP Servers
A Model Context Protocol (MCP) server that enables Claude and other AI assistants to send SMS messages using...
Socket based MCP Server for Ghidra
A Model Content Protocol server that provides tools to search and retrieve academic papers from PubMed database.
MCP server for document format conversion using pandoc.
The MCP server for Powerdrill API.
Okta MCP Server
An MCP server implementation for accessing Obsidian via local REST API
Agentic abstraction layer for building high precision vertical AI agents written in python for Model Context Protocol.





