What is the key difference between Growthbook MCP and Discovery Engine?

Growthbook MCP belongs to the Data Science Tools category with local stdio execution, while Discovery Engine belongs to the Data Science Tools category with local stdio execution.

How do I install Growthbook MCP or Discovery Engine in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Growthbook MCP and Discovery Engine free or paid?

Growthbook MCP operates under a Free / Open Source model (API Key required). Discovery Engine operates under a Freemium model (API Key required).

Which MCP server has more tools and community activity?

Growthbook MCP lists 4 tools with 3 views and 24 GitHub stars. Discovery Engine lists 6 tools with 4 views and 7 GitHub stars.

Can I use both Growthbook MCP and Discovery Engine together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Growthbook MCP vs Discovery Engine

In-depth architectural comparison of the Growthbook MCP and Discovery Engine MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Growthbook MCP

Data Science Tools · Local stdio

Quality: 67/100 (Great) | Auth: API Key required

Discovery Engine

Data Science Tools · Local stdio

Quality: 52/100 (Good) | Auth: API Key required

Verdict Summary: Choose Growthbook MCP if you need specialized Data Science Tools tools running via a local process. Choose Discovery Engine if your workspace requires Data Science Tools integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Growthbook MCP when:

You need dedicated capabilities in the Data Science Tools domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: GB_API_KEY, GB_API_URL, GB_MCP_TRANSPORT, GB_MCP_PORT, GB_MCP_HOST, GB_MCP_URL, GB_OAUTH_ISSUER, GB_SKILLS_ENABLED.
Primary tools included: growthbook_api_read, growthbook_api_write, growthbook_list_skills.

Explore Growthbook MCP Details

Choose Discovery Engine when:

You need dedicated capabilities in the Data Science Tools domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: DISCOVERY_API_KEY.

Feature & Specification Comparison

Specification	Growthbook MCP growthbook Data Science Tools	Discovery Engine leap-laboratories Data Science Tools
Summary	Tools for creating and interacting with GrowthBook feature flags and experiments.	Superhuman exploratory data analysis that finds the feature interactions and subgroup effects that LLMs and manual exploration miss — with p-values, effect sizes, and literature citations. Data goes in, validated insights come out. Free for public data.
Category & Scope

Tools & Capabilities Breakdown

Growthbook MCP Tools (4)

growthbook_api_read

Make an authenticated GET request to the GrowthBook REST API. Use path (+ optional query string) exactly as shown in skill workflows that mention gb-call GET. Paths typically start with /api/v1/ or /api/v2/. Returns the raw response body on success. Queries the GrowthBook REST API — see https://docs.growthbook.io/api (OpenAPI: https://api.growthbook.io/api/v1/openapi.yaml).

growthbook_api_write

Make an authenticated mutating request (POST, PUT, PATCH, or DELETE) to the GrowthBook REST API. Use method + path (+ optional JSON body) exactly as shown in skill workflows that mention gb-call with those methods. Paths typically start with /api/v1/ or /api/v2/. Returns the raw response body on success. Mutates the GrowthBook REST API — see https://docs.growthbook.io/api (OpenAPI: https://api.growthbook.io/api/v1/openapi.yaml).

growthbook_list_skills

List available GrowthBook agent skills (name + description). Use growthbook_read_skill to load the full workflow for a skill before acting. Skills encode how to accomplish GrowthBook tasks well; use growthbook_api_read / growthbook_api_write to execute the REST calls they describe.

growthbook_read_skill

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Growthbook MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "growthbook-growthbook-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@growthbook/mcp"
      ],
      "env": {
        "GB_API_KEY": "YOUR_GB_API_KEY_HERE",
        "GB_API_URL": "YOUR_GB_API_URL_HERE",
        "GB_MCP_TRANSPORT": "YOUR_GB_MCP_TRANSPORT_HERE",
        "GB_MCP_PORT": "YOUR_GB_MCP_PORT_HERE",
        "GB_MCP_HOST": "YOUR_GB_MCP_HOST_HERE",
        "GB_MCP_URL": "YOUR_GB_MCP_URL_HERE",
        "GB_OAUTH_ISSUER": "YOUR_GB_OAUTH_ISSUER_HERE",
        "GB_SKILLS_ENABLED": "YOUR_GB_SKILLS_ENABLED_HERE"
      }
    }
  }
}

Discovery Engine Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "leap-laboratories-discovery-engine": {
      "command": "uvx",
      "args": [
        "discovery-engine-api"
      ],
      "env": {
        "DISCOVERY_API_KEY": "YOUR_DISCOVERY_API_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

Growthbook MCP is categorized under Data Science Tools and uses a local stdio subprocess. In contrast, Discovery Engine belongs to Data Science Tools using local stdio subprocess. Select Growthbook MCP when you need capabilities focused on data science tools and Discovery Engine when you require tools for data science tools.

More alternatives to Growthbook MCP More alternatives to Discovery Engine Data Science Tools category hub