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MCP Integration

MCP Integration

MCP (Model Context Protocol) lets you extend LogiCoal with external tools. Connect a GitHub server and the AI can search repos, read issues, and create PRs. Connect a database server and the AI can query your data directly.

MCP tools appear alongside the built-in tools automatically — no special syntax needed.

Quick Start

Add a server from the curated catalog:

/mcp add github

The wizard prompts for required environment variables (like API tokens), saves the config, and connects the server. That's it — the AI can now use GitHub tools.

Curated Catalog

LogiCoal includes a curated catalog of 12 popular MCP servers:

Name Category What it provides Required Setup
github Development Repo search, issues, PRs, file access GITHUB_PERSONAL_ACCESS_TOKEN
filesystem Development Extended filesystem operations
sentry Development Error tracking and monitoring SENTRY_AUTH_TOKEN
postgres Data PostgreSQL query execution POSTGRES_CONNECTION_STRING
sqlite Data SQLite database access SQLITE_DB_PATH
google-maps Data Location, directions, places GOOGLE_MAPS_API_KEY
brave-search Search Web search via Brave BRAVE_API_KEY
memory AI Persistent knowledge graph
puppeteer Automation Browser automation and scraping
slack Communication Read/send Slack messages SLACK_BOT_TOKEN, SLACK_TEAM_ID
figma Design Access Figma files and components FIGMA_ACCESS_TOKEN
fetch Web Advanced URL fetching

Browse the catalog interactively

/mcp catalog

Use arrow keys to browse by category and select a server to install.

Add by name

/mcp add github
/mcp add postgres
/mcp add puppeteer

Adding Custom Servers

For servers not in the catalog:

/mcp add --custom

The wizard walks you through:

  1. Server name
  2. Transport type (stdio, sse, or streamable-http)
  3. Command and arguments (for stdio) or URL (for sse/streamable-http)
  4. Environment variables
  5. Trust level

Searching npm

Find MCP servers published on npm:

/mcp search database
/mcp search kubernetes
/mcp search aws

Configuration Files

MCP servers are configured in JSON files. You can edit these manually or use the /mcp add wizard.

Global config

~/.logicoal/mcp.json — applies to all projects:

{
  "servers": {
    "github": {
      "transport": "stdio",
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_your_token_here"
      },
      "enabled": true,
      "trustLevel": "supervised",
      "timeout": 30000
    }
  }
}

Project config

.coals/mcp.json — applies only to the current project. Servers here override global servers with the same name.

Use project config for servers that are specific to a project (like a local database connection).

Config fields

Field Required Description
transport Yes stdio, sse, or streamable-http
command stdio only The command to run (e.g., npx)
args stdio only Command arguments as an array
url sse/http only The server URL
env No Environment variables passed to the server process
enabled No true or false (default: true)
trustLevel No supervised, autonomous, or readonly (default: supervised)
timeout No Connection timeout in milliseconds (default: 30000)

Transport types

  • stdio — Most common. Runs a local process that communicates via stdin/stdout. Used by most npm MCP packages.
  • sse — Connects to an HTTP server using Server-Sent Events.
  • streamable-http — Connects to an HTTP server using streaming HTTP.

Managing Servers

Command Description
/mcp or /mcp servers Show all servers and their connection status
/mcp tools List all tools from all connected servers
/mcp tools github List tools from a specific server
/mcp connect github Connect to a configured server
/mcp disconnect github Disconnect a running server
/mcp remove github Remove a server from config and disconnect it
/mcp reload Reload config files and reconnect all servers

Trust Levels

Each MCP server has a trust level that controls tool approval:

  • supervised — Tool calls require approval in Normal mode
  • autonomous — Tool calls run without approval
  • readonly — Server tools can only read, not write

How MCP Tools Appear

MCP tools are named mcp__<server>__<tool>. For example, GitHub tools might appear as:

mcp__github__search_repositories
mcp__github__create_issue
mcp__github__get_file_contents

You don't need to remember these names — just describe what you want and the AI will use the appropriate tool.

Agents and MCP

All agent roles have access to MCP tools by default (via mcp__* in their allowed tools). This means your agents can use GitHub, databases, or any other connected MCP server without additional configuration.