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Related Servers

Alternatives to Constellation

No user-submitted related servers found.

    Related Servers

    • F
      license
      C
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      Enterprise-grade code intelligence platform providing AI-powered code analysis, semantic search, security scanning, and automated refactoring capabilities. Integrates with local AI models for zero-cost operations while delivering comprehensive development workflow automation.
      2
      8
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    • A
      license
      Not graded
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      A
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      Provides live, graph-verified code intelligence for AI agents, including call graphs, dependency awareness, and safety gates on edits to prevent breaking changes.
      17
      MIT
    • A
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      C
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      Provides semantic code search and code insights via a knowledge graph, enabling AI to understand, navigate, and modify complex projects with deep dependency and architecture analysis.
      MIT
    • A
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      quality
      D
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      Supercharges AI coding agents with semantic code intelligence, providing pre-built knowledge graphs for surgical context, faster answers, and fewer tool calls.
      MIT
    • A
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      quality
      D
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      AI-native code intelligence graph that builds a persistent knowledge graph of your codebase in Neo4j and exposes it to AI assistants via MCP, enabling contextual code analysis, impact analysis, and dependency tracking.
      23
      MIT

    TDQS

    A4.4/5.0

    Scored across 1 tool

    Disambiguation4/5

    With a single tool, there is no cross-tool ambiguity to resolve, and the description explicitly draws a clear boundary against Grep/Glob/Read (structure vs text search). The only residual overlap is internal (getDependents vs getCallGraph vs traceSymbolUsage), which the description addresses but does not fully resolve without running api.listMethods().

    Naming Consistency4/5

    A single name cannot be internally inconsistent, and 'code_intel' is a clean, readable snake_case identifier. It is a noun phrase rather than a verb_noun pattern, so there is no predictable action convention to anchor on, but nothing is violated.

    Tool Count3/5

    The one-tool design is intentional (a code-execution entry point fronting a multi-method api.* surface), which is defensible for this domain. However, as presented the server exposes exactly one thinly-described tool whose real capabilities are hidden behind api.listMethods()/api.help(), making the surface feel thin and requiring a discovery round-trip.

    Completeness4/5

    The stated domain — graph-backed code intelligence — is well covered: symbol search, dependencies/dependents, call graph, usage tracing, impact analysis, orphan detection, and architecture overview. Gaps are minor (e.g. no explicit symbol-level diff/change-scope or test-impact mapping), and read-only scope is appropriate for an intelligence tool.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive