Troubleshooting Manual
This guide detail procedures for identifying, diagnosing, and resolving issues when setting up or executing CodeGraphContext.
1. Engine Installation & Compilation Issues
KuzuDB Installation Errors (C++ Compiler Required)
KuzuDB relies on a compiled C++ engine core. If pip install kuzu fails:
- Reason: The pre-compiled wheel is not available for your system architecture/Python version, forcing a compile from source without build tools.
- Resolution:
- Linux: Install build essentials: sudo apt-get install build-essential python3-dev
- macOS: Install developer CLI tools: xcode-select --install
- Windows: Install Visual C++ Build Tools via Visual Studio Installer.
FalkorDB Lite Unix Dependencies
FalkorDB Lite only runs on Linux/macOS and requires Python 3.12+.
- Reason: Underlying shared libraries are not compiled for Windows or older Python interpreter versions.
- Resolution: Switch the active database context backend to kuzudb which is fully cross-platform.
2. Database Connection Failures
"No database backend available"
- Reason: CGC is looking for KuzuDB, FalkorDB, or Neo4j, but the respective Python client packages are missing from the current virtual environment.
- Resolution: Verify package installations:
pip install kuzu neo4j falkordb
Neo4j Connection Refused / Auth Failures
- Reason: Connection parameters in configuration do not match your running Neo4j Instance.
- Resolution: Run
cgc config showto check host bindings and credentials. Verify that the Neo4j instance is up and accepting TCP connections (e.g., usingtelnet localhost 7687or via Docker logs).
3. MCP Server & Daemon Failures
IDE Assistant Fails to Load Tools
If Claude Desktop or Cursor does not show CGC tools: - Step 1: Process Check: Test the server execution by running the launch command directly in your shell:
cgc mcp start
PATH. Replace the cgc command with the absolute path in your IDE configuration files:
- Find the absolute path using: which cgc (Linux/macOS) or where cgc (Windows).
- Update command in JSON (e.g., /home/username/.local/bin/cgc).
- Step 3: Logs Inspection: Review the server log files. MCP server logs are written to:
~/.codegraphcontext/logs/mcp.log
4. Indexing & Filesystem Watcher Failures
Indexing is Slow or Out of Memory
- Reason: CGC is attempting to index massive build folders, dependencies, or compiled files (e.g.,
.git/,node_modules/,venv/). - Resolution: Ensure a
.cgcignorefile is present in the repository root containing appropriate ignore rules (refer to the Indexing Guide).
Directory Watcher Fails to Update
- Reason: The watchdog monitor has run out of system file handles (common on Linux with large repositories).
- Resolution: Increase the max user watches value:
echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf && sudo sysctl -p
5. HTTP API Gateway
Gateway does not respond
- Check: Confirm the process is running:
cgc api start --port 8000. - Health probe:
curl http://localhost:8000/healthshould return{"status":"ok"}. - Database errors on
/api/v1/status: Runcgc doctor—the gateway uses the same database configuration as the CLI.
6. System Health Check (doctor)
To execute a comprehensive diagnostic test of the active environment, run:
cgc doctor
The diagnostics engine performs the following tests:
1. Python Version: Confirms interpreter meets version requirements.
2. Configuration Integrity: Checks for syntax errors in config.yaml.
3. Database Driver Availability: Checks imports for Kuzu, FalkorDB, and Neo4j.
4. Active Connection Health: Attempts connection transactions to the configured database.
5. Permissions Audit: Verifies write capability to target log and database storage directories.