callgraph
Related Servers
Alternatives to callgraph
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI coding agents and developers to search code by meaning and exact text, map symbols, dependencies, blast radius and context, inspect git-change impacts, and trace live Python or JavaScript execution from a local air-gapped SQLite index.Apache 2.0
- AlicenseAqualityBmaintenanceLocal code-graph engine for AI coding workflows: static analysis of Rust, Cangjie, ArkTS, TypeScript/JavaScript, C/C++, Python, and Shell projects into symbols, imports, call graphs, and quality gates, with pre-commit change review and impact analysis. Read-only by design — never executes build scripts or uploads code.61MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents and terminal users to query codebases for callers, impact, tests, dependencies, and refactor previews using static AST analysis, with every match accounted for and uncertain relationships clearly marked.844 npm2MIT
- FlicenseNot gradedqualityBmaintenanceProvides efficient code navigation and graph-based analysis for AI agents, enabling symbol resolution, callers, implementations, and type schemas with minimal token usage.-
- AlicenseAqualityCmaintenanceEnables AI assistants to understand and navigate codebases through structural analysis. Provides code mapping, symbol search, and impact analysis using ast-grep for accurate parsing of Python, JavaScript, TypeScript, and Go projects.452MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to query a local structural code graph, inspect relationships and impact, and retrieve focused project context before reading full files.28 npmMIT
TDQS
Scored across 11 tools
Most tools target a clearly distinct question (who calls X vs. what's inside X vs. where do I start), and descriptions explicitly cross-reference each other ('For calls of a function use find_callers', 'Start here once you know the file (else locate)'). The residual overlaps are directory-level inspection (outline vs. framework_view) and symbol lookup (locate vs. search by strings/constants), which a careful agent could still confuse on a first pass.
Names are readable but mix conventions: verb-style (find_callers, locate, search) alongside bare nouns (outline, notes, next, guide, projects) and compound nouns (framework_view, project_profile, method_body). There is a loose theme but no predictable verb_noun pattern, and closely related tools (projects vs. project_profile) differ only by a suffix.
Eleven tools is well within a comfortable range and each maps to a real step in code exploration (project setup, orientation, localization, structure, bodies, callers, text search, help). No obvious filler tools; guide and next are thin but justified as meta-helpers.
The exploration lifecycle is largely covered: project registration/profile, symbol location, structural outline, method bodies, caller/impact analysis, and literal search, plus framework-specific views. Gaps are minor: no explicit callees/downstream-call tool (partly covered by outline with method), and notes are read-only with writes only via the CLI.