Marcora MCP MCP server

The Marcora MCP Server enables AI assistants like Claude and ChatGPT to interact with Marcora's context infrastructure. It allows users to manage brand context, create and execute content plans and playbooks, access blueprints, and utilize the AI Assistant for document editing and brainstorming, ensuring all generated content is grounded in verified brand context.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-05Operated by MarketCore LLC

MCP endpoint (Streamable HTTP)

https://mcp.marcora.ai/

Vendor documentation

What you can do with it

Manage brand context and reference libraries
Create and execute content plans and playbooks
Access and utilize AI blueprints for content generation
Connect AI assistants to Marcora tools via MCP

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http marcora-mcp https://mcp.marcora.ai/

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add marcora-mcp --url https://mcp.marcora.ai/

Cursor

Merge this server into .cursor/mcp.json in your project, then enable marcora-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "marcora-mcp": {
      "url": "https://mcp.marcora.ai/"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "marcora-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.marcora.ai/",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start marcora-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "marcora-mcp": {
      "type": "http",
      "url": "https://mcp.marcora.ai/"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http marcora-mcp https://mcp.marcora.ai/

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "marcora-mcp": {
      "url": "https://mcp.marcora.ai/"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "marcora-mcp": {
      "serverUrl": "https://mcp.marcora.ai/"
    }
  }
}

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