Sequa

You can connect your tools and AI agents to Sequa MCP to keep your documentation and code knowledge in sync. By acting as a central, continuously updated knowledge source, Sequa MCP lets your editors, IDEs, and AI assistants access current architecture docs, API references, runbooks, and onboarding guides right from your codebase.

How to use

Connect Sequa MCP to your preferred client (Cursor, Claude, Windsurf, VS Code, and more) using the provided MCP URL or a local runtime command. Once configured, your tools can pull up-to-date docs, runbooks, and API references with source links, and your codebase will stay in sync with evolving facts.

How to install

Prerequisites: make sure you have Node.js and a package manager available on your system.

1. Start by choosing a method to connect Sequa MCP to your tooling. You can use a remote MCP URL or run the MCP client locally with a command shown below.

2. If you prefer the quick start, run the NPX command to launch the MCP server client directly.

3. Add the MCP configuration to your preferred client following the provided configuration examples.

Additional notes

Two common connection methods are available. The remote MCP URL provides a hosted endpoint for your client to reach, while the local runtime command lets you run the MCP client on your machine. When you configure your client, you can choose either method or run both in parallel if your workflow requires redundancy.

Security and access: ensure you have an active Sequa account and the corresponding project created inside Sequa. Connections may be blocked if the project is not set up.

Example configurations

{
  "mcpServers": {
    "sequa": {
      "url": "https://mcp.sequa.ai/v1/setup-code-assistant"
    }
  }
}

{
  "mcpServers": {
    "sequa": {
      "command": "npx",
      "args": [
        "-y",
        "@sequa-ai/sequa-mcp@latest",
        "https://mcp.sequa.ai/v1/setup-code-assistant"
      ]
    }
  }
}

Available tools

generate_docs

Generates up-to-date documentation such as architecture overviews, API references, runbooks, and onboarding guides from the codebase.

update_from_code

Automatically updates documentation by deriving changes directly from the codebase to prevent drift.

unify_knowledge

Unifies knowledge across repositories so engineers and AI agents access a single authoritative source.

answer_with_sources

Responds to plain-language queries with current answers and source links from the unified knowledge base.