Skip to main content
Glama
anortham

COA Goldfish MCP

by anortham
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Related Servers

Alternatives to COA Goldfish MCP

No user-submitted related servers found.

    Related Servers

    • Project Brain

      myczh-1
      A
      license
      Not graded
      quality
      D
      maintenance
      A local MCP memory server that gives AI assistants durable project memory across coding sessions, storing context, changes, and decisions.
      3
      1
      MIT

    • GroundMemory

      huss-mo
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP-native, local-first memory server that gives AI agents persistent, structured memory across sessions and tools, enabling them to maintain identity and context without reconfiguration.
      3
      MIT

    • Mono Memory MCP

      potato-castle
      A
      license
      Not graded
      quality
      D
      maintenance
      A self-hosted MCP server that provides AI assistants with a shared, persistent SQLite-backed memory for storing and retrieving project context, decisions, and discoveries. It enables cross-session continuity and team-wide knowledge sharing to keep AI coding tools aligned and informed.
      3
      MIT

    • dark-memory-mcp

      Opita-Code
      A
      license
      Not graded
      quality
      A
      maintenance
      An MCP server that provides persistent memory for AI agents, enabling context retention across sessions and supporting vibe-loop workflows where agent promises and deliverables are tracked and validated.
      MIT
    Deploy Server
    RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between 'recall' and 'search_history' (both involve searching memory), and 'remember' and 'checkpoint' (both store information, though with different scopes). Descriptions help clarify the differences, but an agent might occasionally confuse these pairs.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with clear verb_noun structures (e.g., create_todo_list, search_history, update_todo). There are no deviations in naming style, making the set predictable and easy to parse.

    Tool Count5/5

    With 10 tools, the count is well-scoped for a session management and productivity server. Each tool serves a specific function in tracking, recalling, and organizing work, with no apparent redundancy or missing essential operations for the domain.

    Completeness4/5

    The toolset covers core session management workflows comprehensively, including saving (checkpoint), recalling (recall, search_history), organizing (create_todo_list, update_todo, view_todos), and summarizing (summarize_session, timeline). A minor gap is the lack of a tool to delete or archive old sessions or TODOs, but agents can work around this.

    Maintenance

    ActivityInactive
    ResponsivenessSyncing

    Resources