@Shashankss1205
Basic information
An MCP server that indexes local code into a graph database to provide context to AI assistants.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"CodeGraphContext": {
"command": "cgc",
"args": [
"start"
],
"env": {
"NEO4J_URI": "YOUR_NEO4J_URI",
"NEO4J_USERNAME": "YOUR_NEO4J_USERNAME",
"NEO4J_PASSWORD": "YOUR_NEO4J_PASSWORD"
},
"tools": {
"alwaysAllow": [
"add_code_to_graph",
"add_package_to_graph",
"check_job_status",
"list_jobs",
"find_code",
"analyze_code_relationships",
"watch_directory",
"find_dead_code",
"execute_cypher_query",
"calculate_cyclomatic_complexity",
"find_most_complex_functions",
"list_indexed_repositories",
"delete_repository",
"visualize_graph_query",
"list_watched_paths",
"unwatch_directory"
],
"disabled": false
},
"disabled": false,
"alwaysAllow": []
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
CodeGraphContext is an MCP server that indexes local source code into a Neo4j graph database to provide structured code context to AI assistants. It is designed for developers who want to enable their AI tools to understand code relationships, dependencies, and call chains across a codebase.
Install with pip install codegraphcontext, then run cgc setup for an interactive wizard that configures the Neo4j database connection and optionally sets up supported IDEs (VS Code, Cursor, Claude, etc.). After setup, start the server with cgc start. The server is then ready to accept natural language commands from an MCP client (e.g., Claude, VS Code) to index, query, and analyze code.
.cgcignore files to exclude specific files and directories.The server requires Python packages including neo4j, watchdog, tree-sitter, tree-sitter-languages, typer, rich, and others. It also needs a running Neo4j database (local via Docker, Linux binary, or remote hosted instance).
Create a `.cgcignore` file in the root of your project using the same syntax as `.gitignore`. Example: `/build/`, `/node_modules/`, `*.log`.
Yes. When you tell the AI assistant to watch a directory, the server performs an initial full index and then continuously monitors the directory for changes, automatically updating the graph.
The server communicates via the MCP (Model Context Protocol) using Neo4j credentials (URI, username, password) stored in `~/.codegraphcontext/.env`. It does not expose other transports or authentication methods.
The README does not list explicit limitations, but it notes that the `cgc setup` command may fail on some systems requiring a PATH fix script, and that the tool requires a working Neo4j instance.
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