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Related Servers

Alternatives to Cerebro MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI coding assistants with persistent project memory to retain architectural decisions, code patterns, and domain knowledge across sessions. It stores data locally in a SQLite database, allowing agents to remember, recall, and manage project-specific context using full-text search.
      3 npm
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Provides AI coding assistants with persistent memory storage using a local SQLite database. Enables tools to remember project details, notes, and relationships across sessions to maintain context and reduce repetitive explanations.
      17
      4
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides persistent cross-session memory and full-text search for AI coding assistants, storing project context, decisions, and preferences while enabling searchable access to conversation history via local SQLite.
      8
      1
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Ultra-lean memory system for AI coding tools that stores project knowledge locally with SQLite and enables AI to remember your project across sessions.
      12
      22 npm
      37
      MIT

    TDQS

    A4/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool targets a clearly distinct aspect of code analysis: call sites, call edges, circular imports, dead symbols, endpoints, file info, impact analysis, project overview, note-taking, orphan files, recall, file recording, reindexing, search, stale index, and sync. Even similar tools like dead_symbols vs orphans and note vs record vs recall are differentiated by scope and purpose.

    Naming Consistency5/5

    All tools follow a consistent 'cerebro_' prefix with snake_case naming (e.g., cerebro_callers, cerebro_dead_symbols). The second part is either a noun (callers, cycles) or a verb (get, search), maintaining a predictable pattern throughout.

    Tool Count5/5

    With 16 tools, the server covers a comprehensive set of code intelligence operations without being overly numerous. Each tool serves a specific purpose in the workflow of understanding and navigating a large codebase, fitting well within the typical 3-15 range for focused servers.

    Completeness4/5

    The tool set covers core code analysis needs: dead code detection, call graphs, dependency analysis, search, project overview, and knowledge persistence. Minor gaps include lack of direct file content retrieval or file listing, but the server's focus on precomputed index data means these are reasonable omissions.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues