MCP Server - Genseo

The Genseo MCP server lets AI tools use Genseo through structured tools instead of raw HTTP calls. It uses the same Public API and the same project-bound API key rules. An MCP client can only access the project attached to the key you provide.

Global install

Install the CLI package globally:

npm install -g @genseo/cli

Then configure your MCP client:

{
  "mcpServers": {
    "genseo": {
      "command": "genseo-mcp",
      "env": {
        "GENSEO_API_BASE": "https://api.genseo.co/v1",
        "GENSEO_API_KEY": "gs_live_..."
      }
    }
  }
}

Without global install

Use npx if you do not want a global package:

{
  "mcpServers": {
    "genseo": {
      "command": "npx",
      "args": ["-y", "--package", "@genseo/cli", "genseo-mcp"],
      "env": {
        "GENSEO_API_BASE": "https://api.genseo.co/v1",
        "GENSEO_API_KEY": "gs_live_..."
      }
    }
  }
}

Available tools

genseo_me
genseo_project_get
genseo_keywords_list
genseo_keywords_create
genseo_keywords_generate
genseo_keyword_metrics
genseo_posts_list
genseo_posts_create_draft
genseo_posts_get
genseo_posts_update
genseo_posts_generate
genseo_posts_publish
genseo_integrations_list
genseo_integration_fields
genseo_integration_connect_url
genseo_integration_mapping_save
genseo_webhooks_list
genseo_webhooks_create
genseo_webhooks_delete

Agent behavior

MCP clients should call genseo_me first, use only the returned project, create drafts before publishing, and ask before publishing unless the user has explicitly enabled autonomous publishing.

​Global install

​Without global install

​Available tools

​Agent behavior

Global install

Without global install

Available tools

Agent behavior