MCP Client Setup Guide

April 8, 2026 · View on GitHub

Complete setup instructions for connecting Octocode to popular AI assistants via the Model Context Protocol (MCP).

What You Get

When connected, your AI assistant can:

  • Search code by meaning — "Find authentication code" returns relevant functions, not just keyword matches
  • Navigate dependencies — "What files depend on payment.rs?" queries the knowledge graph
  • View code structure — Extract signatures, classes, and imports without reading entire files
  • Search by pattern — Find .unwrap() calls, new instantiations, specific AST patterns

Available Tools

ToolDescription
semantic_searchSearch codebase by meaning — finds code by what it does, not exact symbol names
view_signaturesExtract function signatures, class definitions, and declarations from files
graphragQuery code relationships, dependencies, and architecture
structural_searchSearch or rewrite code by AST structure using ast-grep pattern syntax

Octomind is our companion AI agent runtime. It comes with Octocode pre-configured — zero setup required.

# Install Octomind
curl -fsSL https://raw.githubusercontent.com/muvon/octomind/master/install.sh | bash

# Run with Octocode pre-wired
octomind run developer:rust

Octomind automatically:

  • ✅ Installs and configures Octocode
  • ✅ Manages API keys (asks once, stores permanently)
  • ✅ Spins up the MCP server for your project
  • ✅ Loads specialist prompts for your domain

No config files to edit. No MCP setup. Just run and start coding.


Claude Code (CLI)

Claude Code is Anthropic's command-line AI assistant. It supports MCP via the /mcp command.

# Add Octocode to Claude Code
claude mcp add octocode -- octocode mcp --path /path/to/your/project

# Verify connection
claude
> /mcp
# You should see octocode in the list

Manual Config Setup

If you prefer editing the config file directly:

Config location: ~/.claude.json

{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Usage

claude
> /mcp
# Lists available MCP servers

> Search my codebase for authentication logic
# Claude uses semantic_search automatically

> What files depend on src/payment/mod.rs?
# Claude uses graphrag to query dependencies

Claude Desktop

Claude Desktop is Anthropic's GUI application for macOS and Windows.

Setup

macOS config: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows config: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Multiple Projects

{
  "mcpServers": {
    "octocode-rust": {
      "command": "octocode",
      "args": ["mcp", "--path", "/projects/rust-app"]
    },
    "octocode-python": {
      "command": "octocode",
      "args": ["mcp", "--path", "/projects/python-api"]
    }
  }
}

Verify Connection

  1. Restart Claude Desktop after editing config
  2. Look for the 🔨 icon in the bottom-right corner
  3. Click it to see available tools

Cursor

Cursor is an AI-powered code editor (VS Code fork) with native MCP support.

Setup

Method 1: Settings UI (Easiest)

  1. Open Cursor Settings (Cmd+, on macOS, Ctrl+, on Windows/Linux)
  2. Navigate to MCP Servers
  3. Click Add New Global MCP Server
  4. Paste the config:
{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Method 2: Config File

Config location: ~/.cursor/mcp.json (global) or .cursor/mcp.json (project)

{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Usage

Restart Cursor after adding the config. The Octocode tools will be available in the AI chat.


Windsurf

Windsurf is an AI-powered IDE from Codeium with MCP support.

Setup

  1. Open Windsurf Settings (Cmd+, on macOS, Ctrl+, on Windows/Linux)
  2. Navigate to MCP section
  3. Add new MCP server configuration:
{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Project-Specific Config

Create .windsurf/mcp.json in your project root:

{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "."]
    }
  }
}

VS Code (with Cline or Continue)

VS Code supports MCP through extensions like Cline and Continue.dev.

Cline Extension

  1. Install Cline from VS Code marketplace
  2. Open Cline sidebar
  3. Click the MCP icon in the header
  4. Add server configuration:
{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Continue.dev Extension

  1. Install Continue extension
  2. Open Continue sidebar
  3. Click the gear icon → Edit config.json
  4. Add MCP server:
{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Zed Editor

Zed is a high-performance editor with built-in MCP support.

Setup

Config location: ~/.config/zed/settings.json

{
  "mcp_servers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

📦 More MCP Clients

Replit

Replit supports MCP in AI-assisted coding mode.

  1. Open your Repl
  2. Go to AI Settings
  3. Add MCP server configuration:
{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "."]
    }
  }
}

Amazon Q

Amazon Q Developer supports MCP in IDE extensions.

  1. Open Amazon Q settings
  2. Navigate to MCP Servers
  3. Add configuration:
{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Sourcegraph Cody

Cody supports MCP in VS Code and JetBrains extensions.

  1. Open Cody settings
  2. Navigate to MCP section
  3. Add server configuration

Goose

Goose is a CLI AI assistant with MCP support.

# Add Octocode to Goose
goose mcp add octocode -- octocode mcp --path /path/to/your/project

Gemini Code Assist

Google's Gemini Code Assist supports MCP.

  1. Open Gemini Code Assist settings
  2. Navigate to MCP Servers
  3. Add configuration

Gemini CLI

Google's Gemini CLI supports MCP.

# Add Octocode
gemini mcp add octocode -- octocode mcp --path /path/to/your/project

Open WebUI

Open WebUI is an open-source web interface for LLMs with MCP support.

  1. Open Settings → MCP Servers
  2. Add configuration:
{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/your/project"]
    }
  }
}

Jan AI

Jan is a local AI assistant with MCP support.

  1. Open Jan settings
  2. Navigate to MCP Servers
  3. Add server configuration

Raycast

Raycast is a productivity launcher with AI features and MCP support.

  1. Open Raycast AI settings
  2. Navigate to MCP Servers
  3. Add configuration

HTTP Mode (Custom Integrations)

For web-based integrations or testing, Octocode can run as an HTTP server:

# Start HTTP server
octocode mcp --bind 0.0.0.0:12345 --path /path/to/your/project

# Now accessible at http://localhost:12345

HTTP API

Send JSON-RPC requests to the HTTP endpoint:

curl -X POST http://localhost:12345 \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "semantic_search",
      "arguments": {
        "query": "authentication",
        "mode": "code",
        "max_results": 5
      }
    }
  }'

Troubleshooting

MCP Server Not Appearing

Symptom: The Octocode server doesn't show up in your MCP client.

Solutions:

  1. Verify Octocode is installed: octocode --version
  2. Check the path in your config is absolute (not relative)
  3. Restart your MCP client after config changes
  4. Check logs for errors

Tools Not Working

Symptom: MCP server appears but tools return errors.

Solutions:

  1. Ensure your project is indexed: cd /your/project && octocode index
  2. Check API keys are set: echo $VOYAGE_API_KEY
  3. Verify the project path in MCP config matches your indexed project

Permission Errors

Symptom: "Permission denied" or "Command not found" errors.

Solutions:

  1. Ensure octocode is in your PATH: which octocode
  2. Use absolute path in config: "command": "/usr/local/bin/octocode"
  3. Check file permissions: ls -la $(which octocode)

Multiple Projects

Symptom: Want to use Octocode with multiple projects.

Solution: Add multiple server entries with different names:

{
  "mcpServers": {
    "octocode-work": {
      "command": "octocode",
      "args": ["mcp", "--path", "/home/user/work-project"]
    },
    "octocode-personal": {
      "command": "octocode",
      "args": ["mcp", "--path", "/home/user/personal-project"]
    }
  }
}

Debug Mode

Enable debug logging to troubleshoot issues:

octocode mcp --path /your/project --debug

This logs all MCP requests and responses to help diagnose problems.


Environment Variables

Octocode respects these environment variables:

# Required: Embedding provider API key
export VOYAGE_API_KEY="your-key"        # Default provider
export OPENAI_API_KEY="your-key"        # Alternative
export JINA_API_KEY="your-key"          # Alternative
export GOOGLE_API_KEY="your-key"        # Alternative

# Optional: LLM provider for advanced features
export OPENROUTER_API_KEY="your-key"    # Multi-provider LLM
export ANTHROPIC_API_KEY="your-key"     # Claude models
export DEEPSEEK_API_KEY="your-key"      # DeepSeek models

Set these in your shell profile (~/.bashrc, ~/.zshrc) or MCP client config:

{
  "mcpServers": {
    "octocode": {
      "command": "octocode",
      "args": ["mcp", "--path", "/path/to/project"],
      "env": {
        "VOYAGE_API_KEY": "your-key"
      }
    }
  }
}

Next Steps