Skip to main content
Glama
n24q02m

better-code-review-graph

by n24q02m
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to better-code-review-graph

No user-submitted related servers found.

    Related Servers

    • codewalk

      gupta29470
      A
      license
      Not graded
      quality
      B
      maintenance
      AI-powered codebase intelligence tool that builds a dependency graph of a git repo for structural Q&A and pre-PR code review. It exposes MCP tools for blast radius, review sessions, and static analysis, running locally over stdio with no LLM or network dependencies.
      MIT

    • TempoGraph

      Elmoaid
      A
      license
      A
      quality
      C
      maintenance
      Code graph context engine that parses codebases with tree-sitter (170+ languages), builds structural dependency graphs, and provides 24 MCP tools for code intelligence. One prepare_context call gives your AI agent the right files for any task. Includes focus, blast radius, hotspots, dead code detection, and hybrid search.
      24
      42 PyPI
      1
      AGPL 3.0

    • mcp-codebase-intelligence

      g-tiwari
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides a semantic understanding of your codebase by parsing with tree-sitter and building a graph of symbols and dependencies. Enables AI assistants to navigate code, analyze changes, and discover architecture using 18 tools with minimal context overhead.
      11 npm
      1
      MIT
    • mcp-reposkein by reposkein

      mcp-reposkeinofficial

      reposkein
      A
      license
      A
      quality
      A
      maintenance
      Deterministic code-graph (GraphRAG) over your repo for LLM agents — local-first, git-native, zero-infra, served via MCP. Python, TS/JS, Rust, Go, Java, C#.
      8
      12
      Apache 2.0

    • SocratiCode

      giancarloerra
      A
      license
      A
      quality
      A
      maintenance
      Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.
      25
      4,715 npm
      3,304
      AGPL 3.0

    • Orihime

      srinivasan-sundaresan95
      A
      license
      A
      quality
      C
      maintenance
      Cross-repository code knowledge graph MCP server for Java, Kotlin, JavaScript, and TypeScript. Indexes source code into embedded KuzuDB via tree-sitter and exposes 30+ tools for call-flow tracing, multi-hop taint analysis (OWASP/CWE/PCI/STIG), entry-point reachability filtering, performance hotspot detection, and license compliance — without reading source files. 95% fewer tokens vs source-read
      33
      1
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 7 tools

    Disambiguation4/5

    The core tools map to distinct concerns: graph management, querying, review context, security, and configuration. The main ambiguity is between `config` and `config__open_relay`, and `graph.summarize` could potentially be confused with `review.context`, but descriptions clarify the intended primary use.

    Naming Consistency4/5

    Tool names are consistently short lowercase domain labels: graph, query, review, config, help, security. The `config__open_relay` tool breaks this pattern by promoting a sub-action with a double underscore to a top-level tool.

    Tool Count5/5

    Seven tools is a well-scoped size for a code-review-graph server, with each tool grouping a coherent set of related actions. The count supports a broad feature set while remaining navigable and non-redundant.

    Completeness5/5

    The surface covers the full lifecycle: graph build/update/stats/embed/import/summarize, flexible querying and diff analysis, review-context generation, security scanning and suppression, plus configuration and credential setup. There are no obvious dead ends or missing core operations for the stated purpose.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources