About LatentContext MCP
LatentContext MCP is an MCP server in the Agents category: a session-scoped memory layer for LLMs, built on the Model Context Protocol. LatentContext gives AI assistants the ability to explicitly store and retrieve notes, decisions, and context within a single conversation — keeping the AI focused on the current task without cross-session data contamination.
Install
git clone https://github.com/Master0fFate/LatentContext-MCPThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (6)
memory_compressCompress working memory or summaries.
Parameters not published.
memory_forgetDeprecate, correct, or remove a memory.
Parameters not published.
memory_retrieveRetrieve relevant session context within a token budget.
Parameters not published.
memory_statusReport current storage and session statistics.
Parameters not published.
memory_storeRecord a note, decision, fact, or event for the active session.
Parameters not published.
session_startStart a session; any active session is archived first.
Parameters not published.
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