Connect ContextBolt to Cursor via MCP

Cursor is an AI-powered code editor built on VS Code. It supports MCP (Model Context Protocol), which means you can give its AI features direct access to your ContextBolt bookmarks while you code.

Once connected, Cursor’s AI chat and Composer can search your saved content from Twitter/X, Reddit, and LinkedIn. This is useful when you’re building something and want to reference articles, discussions, or technical threads you bookmarked weeks or months ago.

Why this integration matters for Cursor users

Cursor users already rely on AI to help with code. The ContextBolt integration extends that AI with your own curated knowledge.

Think about how you work. You read a great thread on Twitter about error handling patterns, you bookmark it. You save a Reddit post explaining database indexing strategies. Three weeks later, you’re building exactly the feature those saves would help with, but they’re buried in your browser.

With this integration, you can ask Cursor’s AI to search your bookmarks mid-conversation. The search is semantic, so you describe what you need in natural language. Cursor already understands your codebase — now it can also understand what you’ve been reading and saving.

Configuration file alternative

If you prefer editing the config file directly, add this to your Cursor MCP configuration:

{
  "mcpServers": {
    "contextbolt": {
      "command": "npx",
      "args": ["-y", "@contextbolt/mcp-server"],
      "env": {
        "CONTEXTBOLT_TOKEN": "your-token-here"
      }
    }
  }
}

Replace your-token-here with the token from your ContextBolt extension settings.

Tips for Cursor workflows

Use in Composer for context-rich generation. When starting a Composer session, ask Cursor to check your bookmarks for relevant patterns first. This grounds the generated code in material you’ve already vetted.

Reference saves in code reviews. If you saved an article about a pattern you’re now seeing in a PR, ask Cursor to find it and summarise the relevant points.

Combine with codebase search. Ask Cursor something like “Search my bookmarks for WebSocket best practices, then review how our current WebSocket implementation compares.” This connects your saved knowledge to your actual code.

Setup guide

1. Get your MCP token from ContextBolt

   Open the ContextBolt extension popup in Chrome and click Settings. Under the MCP section, click 'Copy MCP Token'. You need a Pro subscription (£4/month) as MCP is a Pro feature.

2. Open Cursor's MCP settings

   In Cursor, go to Settings (Cmd/Ctrl + ,), then search for 'MCP' or navigate to the MCP Servers section. You can also open the Command Palette (Cmd/Ctrl + Shift + P) and search for 'MCP'.

3. Add the ContextBolt MCP server

   Click 'Add MCP Server' and configure it with the command 'npx', args ['-y', '@contextbolt/mcp-server'], and set the CONTEXTBOLT_TOKEN environment variable to your token. Alternatively, add the server entry directly to your mcp.json configuration file.

4. Verify the connection

   After adding the server, Cursor should show a green status indicator next to the ContextBolt server. Start a new AI chat and ask 'Search my bookmarks for API design patterns' to confirm the connection is working.

Example prompts

Once connected, try asking Cursor:

What you can do