LatentContext MCP
UnclaimedA 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.
Set up this server
01 / Choose your client
02 / Before you connect
Authentication is not specified. Check the project instructions before connecting.
Project instructions03 / Add the configuration
claude mcp add --transport stdio 'latentcontext-mcp' -- 'npx' '-y' 'latentcontext-mcp@latest'04 / Check it in your client
Open your client’s MCP settings and confirm the server connects and lists its tools. A copied configuration does not confirm a working connection.
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6 of 6 tools
Documented tools (6)
From project documentation. A server handshake does not verify each tool’s description or behavior.
memory_compress
Compress working memory or summaries.
memory_forget
Deprecate, correct, or remove a memory.
memory_retrieve
Retrieve relevant session context within a token budget.
memory_status
Report current storage and session statistics.
memory_store
Record a note, decision, fact, or event for the active session.
session_start
Start a session; any active session is archived first.
Tool change history
FAQ
Questions about LatentContext MCP Server
- How do I connect LatentContext MCP Server to Claude?
- Run `claude mcp add latentcontext-mcp -- npx -y latentcontext-mcp@latest` in Claude Code, or add the same command and arguments under mcpServers in Cursor's mcp.json or Claude Desktop's claude_desktop_config.json, then restart the client. The blocks above are ready to paste.
- Is LatentContext MCP Server free?
- The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
- What can LatentContext MCP Server do?
- LatentContext MCP Server documents 6 tools to the agent, including memory_compress, memory_forget, memory_retrieve. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.