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llmgraph-mcp

Official Model Context Protocol (MCP) server for LLMGRAPH semantic code intelligence.

Provides 10 curated client tools powered by the 19-tool LLMGRAPH engine kernel.

Overview

llmgraph-mcp connects AI coding assistants directly to hosted, persistent repository code intelligence. Instead of burning model context re-reading thousands of files or guessing caller hierarchies, LLMGRAPH delivers deterministic answers with verified certainty:

  • 10 Curated Client Tools:
    • Spatial Traversal: get_callers, get_impact, get_path, get_dependency_hubs
    • Lifecycle Management: connect_repository, sync_repository, repository_status, list_repositories, delete_repository, search_symbols

Quickstart

Run directly with uvx (recommended):

uvx llmgraph-mcp

Or install via pip:

pip install llmgraph-mcp

(Compatibility note: trishul-mcp and llmgraph-in are maintained as backward-compatibility forwarders).

MCP Client Configuration

Claude Desktop / Claude Code

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "llmgraph": {
      "command": "uvx",
      "args": ["llmgraph-mcp"],
      "env": {
        "LLMGRAPH_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Cursor / Windsurf

Configure command as uvx llmgraph-mcp with LLMGRAPH_API_KEY.

Environment Variables

Variable Description Default
LLMGRAPH_API_KEY Your LLMGRAPH API key (required) None
LLMGRAPH_API_URL Custom engine endpoint https://api.llmgraph.in/v1
LLMGRAPH_GITHUB_TOKEN Optional token for private GitHub repositories None

(Note: TRISHUL_API_KEY and TRISHUL_API_URL are recognized for backward compatibility).

License

Apache-2.0. Developed by Brainfoods Studio.

Metadata

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