Add remote mcp support

.github/workflows/run-generate-llms-txt.yml

@@ -0,0 +1,25 @@
+name: Run generate-llms-txt.py
+
+on:
+  pull_request:
+    branches:
+      - main
+  push:
+    branches:
+      - main
+
+jobs:
+  run-script:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.x'
+
+      - name: Run generate-llms-txt.py
+        run: python generate-llms-txt.py

content/docs/ai/connect-mcp-clients-to-gibsonai.md

@@ -19,28 +19,29 @@ This guide covers the setup for the following MCP Clients:
 ## Prerequisites
 
 - A [GibsonAI account](https://app.gibsonai.com/signup).
-- [UV](https://docs.astral.sh/uv/) installed.
 
 ## Authentication
 
-You'll need to ensure you're logged in to the Gibson CLI before the MCP server will work.
+### Remote MCP Server Authentication
 
-```bash
-uvx --from gibson-cli@latest gibson auth login
-```
+Remote MCP servers handle authentication automatically through the hosted server. The first time the client initializes GibsonAI's MCP server, it will trigger an OAuth flow:
+
+1. Your browser will open a GibsonAI page asking you to authorize the "GibsonAI MCP Server" to access your account.
+2. Review the requested permissions and click **Authorize**.
+3. You should see a success message, and you can close the browser tab.
+4. Your MCP client should now be connected to the GibsonAI Remote MCP Server and ready to use.
 
 ## Cursor Setup
 
-1. Go to `Cursor` → `Settings` → `Cursor Settings` → `MCP Tools`.
+1. Go to `Cursor` → `Settings` → `Cursor Settings` → `MCP & Integrations` → `MCP Tools`.
 2. Click `New MCP Server`.
 3. Update the configuration to include the following:
 
 ```json
 {
   "mcpServers": {
     "gibson": {
-      "command": "uvx",
-      "args": ["--from", "gibson-cli@latest", "gibson", "mcp", "run"]
+      "url": "https://mcp.gibsonai.com"
     }
   }
 }
@@ -55,11 +56,9 @@ uvx --from gibson-cli@latest gibson auth login
 
 ```json
 {
-  "mcpServers": {
-    "gibson": {
-      "command": "uvx",
-      "args": ["--from", "gibson-cli@latest", "gibson", "mcp", "run"]
-    }
+  "gibson": {
+    "command": "npx",
+    "args": ["mcp-remote", "https://mcp.gibsonai.com"]
   }
 }
 ```
@@ -77,8 +76,8 @@ uvx --from gibson-cli@latest gibson auth login
 {
   "mcpServers": {
     "gibson": {
-      "command": "uvx",
-      "args": ["--from", "gibson-cli@latest", "gibson", "mcp", "run"]
+      "command": "npx",
+      "args": ["mcp-remote", "https://mcp.gibsonai.com"]
     }
   }
 }
@@ -87,7 +86,7 @@ uvx --from gibson-cli@latest gibson auth login
 ## Claude Code Setup
 
 ```sh
-claude mcp add gibson -- uvx --from gibson-cli@latest gibson mcp run
+claude mcp add gibson -- npx mcp-remote https://mcp.gibsonai.com
 ```
 
 ```sh
@@ -98,8 +97,8 @@ claude mcp get gibson
 gibson:
   Scope: Local (private to you in this project)
   Type: stdio
-  Command: uvx
-  Args: --from gibson-cli@latest gibson mcp run
+  Command: npx
+  Args: mcp-remote https://mcp.gibsonai.com
   Environment:
 
 To remove this server, run: claude mcp remove "gibson" -s local
@@ -115,9 +114,8 @@ To remove this server, run: claude mcp remove "gibson" -s local
   "inputs": [],
   "servers": {
     "gibson": {
-      "type": "stdio",
-      "command": "uvx",
-      "args": ["--from", "gibson-cli@latest", "gibson", "mcp", "run"]
+      "command": "npx",
+      "args": ["mcp-remote", "https://mcp.gibsonai.com"]
     }
   }
 }
@@ -132,14 +130,14 @@ See the official [GitHub Copilot MCP docs](https://docs.github.com/en/copilot/cu
 
 2. To configure MCP Servers in Cline, you need to modify the `cline_mcp_settings.json` file. Click the **MCP Servers** icon → go to **Installed** → click **Configure MCP Servers** to open the configuration file.
 
-3. Add the following `gibson` server entry inside the `mcpServers` object:
+3. Update the configuration to include the following:
 
 ```json
 {
   "mcpServers": {
     "gibson": {
-      "command": "uvx",
-      "args": ["--from", "gibson-cli@latest", "gibson", "mcp", "run"]
+      "command": "npx",
+      "args": ["mcp-remote", "https://mcp.gibsonai.com"]
     }
   }
 }

content/docs/ai/mcp-server.md

@@ -9,7 +9,9 @@ GibsonAI Model Context Protocol (MCP) server allows tools like Cursor, Windsurf,
 
 ## Manage GibsonAI with natural language
 
-The Model Context Protocol (MCP) is a standardized way for AI tools to interact with GibsonAI projects and databases using natural language, providing secure and contextual access to your data and infrastructure.
+The Model Context Protocol (MCP) is a standardized way for AI tools to interact with GibsonAI projects and databases using natural language, providing secure and contextual access to your data and infrastructure. 
+
+GibsonAI offers a **remote** MCP server on the hosted service with seamless OAuth authentication and no setup required.
 
 <DetailIconCards>
 <a href="https://github.com/GibsonAI/mcp" description="A Model Context Protocol (MCP) server that enables AI tools to interact with GibsonAI" icon="github">GibsonAI MCP Server</a>