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Copy file name to clipboardExpand all lines: public/posts/building-the-fezcodex-mcp-server.txt
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@@ -44,18 +44,32 @@ To start using this integration locally:
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```bash
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npm run mcp
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```
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2. **Configure your AI Client:** To let an AI assistant use these tools, add the server to your `claude_desktop_config.json`:
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```json
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{
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"mcpServers": {
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"fezcodex": {
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"command": "npm",
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"args": ["run", "mcp"],
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"cwd": "/absolute/path/to/fezcodex"
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2. **Configure your AI Client:**
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- **For Gemini CLI:** We use a project-local configuration. Ensure the `.gemini/settings.json` file exists in your project root:
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```json
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{
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"mcpServers": {
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"fezcodex": {
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"command": "npm",
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"args": ["run", "mcp"]
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}
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}
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}
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}
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}
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```
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```
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The Gemini CLI will automatically detect and load this server when you are in the project directory.
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- **For Claude Desktop:** Add the server to your `claude_desktop_config.json`:
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```json
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{
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"mcpServers": {
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"fezcodex": {
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"command": "npm",
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"args": ["run", "mcp"],
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"cwd": "/absolute/path/to/fezcodex"
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}
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}
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}
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```
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3. **Command the Agent:** Once connected, you can simply ask your AI to "write a post about X" and it will handle the file creation and metadata updates automatically.
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