ScalaSemantic

★ 21

code-graph-mcp

★ 85

ScalaSemantic vs code-graph-mcp

Q: Which is better, ScalaSemantic or code-graph-mcp?

By GitHub stars, code-graph-mcp has more community adoption, but the best choice depends on your specific use case.

ScalaSemantic: ScalaSemantic is an MCP server that provides AI coding agents with compiler-resolved Scala facts like symbols, types, and usages via SemanticDB. It allows agents to query precise compiler knowledge rather than relying on less accurate source text grepping, significantly reducing token usage.; 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.

TL;DR

ScalaSemanticCode Assistant · ★ 21

Enhancing AI agents with compiler-level insights for accurate answers to code questions.

Read ScalaSemantic full review →

code-graph-mcpCode Assistant · ★ 85

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

Read code-graph-mcp full review →

Side-by-Side Comparison

Field

ScalaSemantic

code-graph-mcp

Features

ScalaSemantic

01Resolve names to SemanticDB symbols

02Find exact references and usages of a symbol

03Analyze class hierarchy (parents and known subtypes)

04Get full method signatures with type/implicit parameters

05Resolve implicit definitions for a given type

code-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.

Use Cases

ScalaSemantic

↳Enhancing AI agents with compiler-level insights for accurate answers to code questions.

↳AI code generation and completion requiring deep Scala code understanding.

↳Automated code refactoring based on precise symbol and type information.

↳Debugging and tracing implicit dependencies in Scala projects.

↳Identifying exact callers of methods or all subtypes of a trait for automated analysis.

code-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.

FAQ

What is the difference between ScalaSemantic and code-graph-mcp?

Both ScalaSemantic and code-graph-mcp are in the Code Assistant category. ScalaSemantic has 21 stars, while code-graph-mcp has 85 stars.

Which is better, ScalaSemantic or code-graph-mcp?

The best choice depends on your use case. Choose ScalaSemantic if Enhancing AI agents with compiler-level insights for accurate answers to code questions., and code-graph-mcp if Perform impact analysis to understand the consequences and blast radius of proposed code changes..

Is ScalaSemantic free or open source?

Yes, ScalaSemantic is open source on GitHub (MIT).

Is code-graph-mcp free or open source?

Yes, code-graph-mcp is open source on GitHub (MIT).

Cloud Infrastructure

Deploy on DigitalOcean

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Alternatives to ScalaSemantic →Alternatives to code-graph-mcp →ScalaSemantic details →code-graph-mcp details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

Deploy on DigitalOcean

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