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Server Details

shared AI-context layer for teams — persistent memory your agents search and update over MCP

Ownership verified
Status
Unhealthy
OAuth
Not checked
Last Tested
Transport
Streamable HTTP
URL
Repository
memsprout/agents
GitHub Stars
0

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Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, with only two pairs of intentional duplicates (fetch/get_memory, search/search_memories) that create minor ambiguity. Descriptions explicitly state they are provided for host compatibility, but an agent might still select the wrong one.

Naming Consistency4/5

The majority of tools follow a consistent verb_noun pattern. Two tools (fetch, search) use generic names that deviate from the pattern, and memsprout_onboarding uses a different naming style, but overall the naming is predictable and readable.

Tool Count4/5

With 21 tools, the server covers a broad but focused domain of memory management. The count is slightly above the typical range but each tool serves a distinct purpose and earns its place, making it appropriate for the scope.

Completeness5/5

The tool surface is highly complete: full CRUD for memories, spaces, topics, and assets; multiple upload methods; search and list variants; onboarding and movement. No obvious gaps in core workflows.