codanna logo
codanna
★ 756
vs
code-graph-mcp logo
code-graph-mcp
★ 85

codanna vs code-graph-mcp

codanna: Codanna provides 'X-ray vision' for AI code assistants, enabling them to understand code structure, trace relationships, and find implementations with precision. It facilitates context-first coding, eliminating the need for manual searching and speeding up R&D and pair programming workflows.; code-graph-mcp: code-graph-mcp is a high-performance server that builds a structured knowledge graph of your codebase for AI coding assistants. It offers multi-language AST parsing, semantic search, call graph traversal, and HTTP route tracing to provide deep code understanding and optimize LLM context usage.

01

TL;DR

codanna logo
codannaCode Assistant · ★ 756

Instantly find where a function is called and trace its call graph.

code-graph-mcp logo
code-graph-mcpCode Assistant · ★ 85

Perform impact analysis to understand the consequences and blast radius of proposed code changes.

02

Side-by-Side Comparison

Field
codanna logocodanna
code-graph-mcp logocode-graph-mcp
Category
Code Assistant
Code Assistant
Stars
★ 756
★ 85
License
Apache-2.0
MIT
Install Command
curl -fsSL --proto '=https' --tlsv1.2 https://install.codanna.sh | sh
/plugin marketplace add sdsrss/code-graph-mcp && /plugin install code-graph-mcp
Updated
1w ago
1d ago
Open Source
Yes
Yes
Tags
Code Analysis, Semantic Search, AI Assistant
Code Knowledge Graph, AST Parsing, Semantic Search
03

Features

codanna logocodanna
01Semantic Search: Natural language queries against code and documentation.
02Relationship Tracking: Generate call graphs, find implementations, and analyze dependencies.
03Document Search (RAG): Index markdown and text files for RAG workflows alongside code.
04MCP Protocol Integration: Native integration with Claude, Gemini, Codex, and other AI assistants.
code-graph-mcp logocode-graph-mcp
01Multi-language AST parsing across various depths (calls, imports, inheritance, HTTP routes) for languages like TypeScript, Python, Go, Rust, and Java.
02Hybrid semantic code search combining BM25 full-text and vector similarity search with Reciprocal Rank Fusion (RRF).
03Advanced code graph analysis including recursive call graph traversal, HTTP route tracing, dead code detection, and impact analysis.
04Incremental indexing with real-time updates via Merkle tree change detection and LLM context optimization through token-aware snippet extraction.
04

Use Cases

codanna logocodanna
↳Instantly find where a function is called and trace its call graph.
↳Semantically search for specific logic like 'authentication flow' based on intent, not just keywords.
↳Analyze full dependencies to understand the impact of code changes.
↳Query project documentation (RAG) alongside code for comprehensive context.
↳Accelerate rapid R&D and pair programming by providing instant, structured code understanding.
code-graph-mcp logocode-graph-mcp
↳Perform impact analysis to understand the consequences and blast radius of proposed code changes.
↳Trace transitive call chains to understand complex function flows and dependencies across your codebase.
↳Conduct semantic searches to find relevant code based on conceptual descriptions, even if exact keywords are not present.
↳Gain a comprehensive overview of project architecture, modules, dependencies, and entry points.
05

Best For

codanna logocodanna
Trending
code-graph-mcp logocode-graph-mcp
—
FAQ

FAQ

What is the difference between codanna and code-graph-mcp?
Both codanna and code-graph-mcp are in the Code Assistant category. codanna has 756 stars, while code-graph-mcp has 85 stars.
Which is better, codanna or code-graph-mcp?
The best choice depends on your use case. Choose codanna if Instantly find where a function is called and trace its call graph., and code-graph-mcp if Perform impact analysis to understand the consequences and blast radius of proposed code changes..
Is codanna free or open source?
Yes, codanna is open source on GitHub (Apache-2.0).
Is code-graph-mcp free or open source?
Yes, code-graph-mcp is open source on GitHub (MIT).
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