Codegraph Mcp
What is Codegraph MCP?
Codegraph MCP is a revolutionary AI development intelligence platform that transforms any MCP-compatible LLM into a codebase expert through advanced semantic analysis. It is designed to index and query large codebases using natural language, providing deep insights before development or changes.
How to use Codegraph MCP?
To use Codegraph MCP, initialize your project with the command codegraph init, index your codebase with codegraph index ., and start the MCP server using codegraph start stdio. You can then query your codebase using natural language.
Key features of Codegraph MCP?
- Supports multiple programming languages including TypeScript, JavaScript, Rust, Go, Python, and C++.
- Provides semantic intelligence for understanding codebases.
- Allows impact prediction before code modifications.
- Offers intelligent caching and pattern detection for team coding conventions.
- Incremental updates to only reprocess changed files.
Use cases of Codegraph MCP?
- Analyzing coding patterns and architecture in large codebases.
- Predicting the impact of changes before they are made.
- Generating code that follows team-specific patterns.
- Providing architectural insights that are not possible with generic AI.
FAQ from Codegraph MCP?
-
Can Codegraph MCP work with any programming language?
Currently, it supports 11 programming languages with advanced semantic analysis for 8 and basic analysis for 3.
-
Is Codegraph MCP free to use?
The project is open-source and available for free on GitHub.
-
How accurate is the semantic analysis?
The accuracy depends on the complexity of the codebase and the quality of the embeddings used.
Server Config
{
"mcpServers": {
"codegraph": {
"command": "codegraph",
"args": [
"start",
"stdio"
],
"env": {
"RUST_LOG": "error",
"CODEGRAPH_MODEL": "hf.co/unsloth/Qwen2.5-Coder-14B-Instruct-128K-GGUF:Q4_K_M"
}
}
}
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