Skip to main content
Glama
AvaTar-ArTs

Ecosystem Intelligence MCP

by AvaTar-ArTs

Related Servers

Alternatives to Ecosystem Intelligence MCP

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides sandboxed access to local filesystem operations including directory and file management, content search with glob and regex patterns, and binary file support with configurable safety limits.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI agents with secure, read-only file system access to analyze and understand project codebases, enabling multi-repository context aggregation and cross-project code tracing.
      5
      MIT
    • F
      license
      B
      quality
      D
      maintenance
      Provides LLMs with safe, read-only access to local codebases for searching, reading files, and finding function definitions. All source code remains local, ensuring privacy while enabling AI assistants to explore project structures and functionality.
      4
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides secure, sandboxed file system access for AI assistants to read, write, and manage project files with controlled command execution capabilities, all confined to a designated workspace directory.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables read-only, allowlisted filesystem and Git inspection of explicitly configured local repositories through MCP, with bounded reads and no arbitrary path or write access.
      MIT

    TDQS

    A4.3/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing roots, summarizing projects, reading files, and analyzing project purpose. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tool names follow the consistent verb_noun pattern in snake_case (inventory_roots, summarize_project, read_project_file, analyze_project). This makes the API predictable and easy to navigate.

    Tool Count5/5

    With only 4 tools, the server is tightly scoped to its purpose of inspecting and analyzing projects. Each tool is essential and there is no bloat.

    Completeness5/5

    The tool surface covers the full workflow: discover roots, summarize structure, read specific files, and derive an analysis. No obvious missing operations for the stated domain.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues