@maguyva/mcp

@maguyva/mcp

Enables code intelligence through semantic, structural, graph, and text search across indexed repositories, allowing AI agents to quickly locate the exact code they need.

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@maguyva/mcp

Maguyva is a code-intelligence MCP server: semantic, structural, graph, and text search across your indexed repositories, so your agent finds exactly what it needs, fast.

Maguyva is a remote streamable-HTTP MCP server at https://maguyva.tools/mcp. Most modern clients connect to it directly — no local process needed. This package is a stdio bridge for the clients that can't.

Pick your path:

Your client Use
Claude Code or OpenAI Codex The maguyva/agent-plugins plugin — bundles the connection, the usage skill, and session-start guidance
Supports remote MCP with an Authorization header (Cursor, VS Code, Windsurf, Zed, OpenCode, Gemini CLI, …) Direct HTTP config — see below
stdio-only MCP client This package

Whichever path you take, get your API key from the maguyva.ai dashboard, and install the usage skill (see Install the skill) — the skill is what teaches your agent when and how to reach for Maguyva's tools.

Claude Code / Codex

Install the plugin from maguyva/agent-plugins:

/plugin marketplace add maguyva/agent-plugins
/plugin install maguyva@maguyva
export MAGUYVA_API_KEY='<your key>'

The plugin connects over HTTP directly and includes the skill and hooks — nothing else to set up.

Direct HTTP (preferred for everything else)

If your client supports remote MCP servers with a custom Authorization header, connect directly:

{
  "mcpServers": {
    "maguyva": {
      "url": "https://maguyva.tools/mcp",
      "headers": {
        "Authorization": "Bearer ${MAGUYVA_API_KEY}"
      }
    }
  }
}

Exact config shape varies by client (VS Code uses servers + type: "http", Gemini CLI uses httpUrl, Codex uses TOML, …). The installation docs have a verified copy-pasteable snippet for each client.

This package: the stdio bridge

Only needed when your client speaks stdio but cannot connect to a remote HTTP server directly. It runs locally and forwards between your client's stdio transport and https://maguyva.tools/mcp, reconnecting to the remote without dropping the local pipe.

Requires Node.js. Add to your client's MCP config:

{
  "mcpServers": {
    "maguyva": {
      "command": "npx",
      "args": ["-y", "@maguyva/mcp"],
      "env": {
        "MAGUYVA_API_KEY": "your-api-key"
      }
    }
  }
}

Options: pass --api-key=KEY instead of the env var, and --server=URL (or MAGUYVA_SERVER_URL) to override the endpoint.

Install the skill

Whatever the transport, install the Maguyva skill so your agent knows how to use the tools well — tool selection, when local grep beats indexed search, and troubleshooting:

curl -fsSL https://maguyva.tools/install-skill.sh | sh -s -- --client <client>

--client accepts claude, opencode, codex, cursor, vscode, gemini, cline, or agents (the generic ~/.agents/skills path). The skill is authored to the open Agent Skills standard and lives in maguyva/agent-plugins. Claude Code and Codex plugin users already have it — the plugin bundles it.

License

MIT

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