Codeatlas AI MCP Server
AI-powered codebase intelligence platform — MCP Server, AST analysis, semantic memory and architectural insights for any codebase.
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Install Codeatlas AI MCP server
Install in Claude Code
claude mcp add codeatlas-ai -- npx -y codeatlas-aiInstall in Cursor
{
"mcpServers": {
"codeatlas-ai": {
"command": "npx",
"args": [
"-y",
"codeatlas-ai"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"codeatlas-ai": {
"command": "npx",
"args": [
"-y",
"codeatlas-ai"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"codeatlas-ai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"codeatlas-ai"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"codeatlas-ai": {
"command": "npx",
"args": [
"-y",
"codeatlas-ai"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Freshness
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Last commit (default branch)
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Latest release
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Package published
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Registry entry updated
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FAQ
›How do I install the Codeatlas AI MCP server in Claude Code?
Run: claude mcp add codeatlas-ai -- npx -y codeatlas-ai. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Codeatlas AI require an API key?
No required environment variables are declared in its published metadata.
›Can I use Codeatlas AI as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Codeatlas AI in the official MCP registry?
No. It was indexed from npm.
Alternatives to Codeatlas AI
Other memory MCP servers.
MemoryActiveKnowledge graph-based persistent memory for maintaining context.
HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.
Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.
CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.