What is the key difference between PostHog MCP Server and Alkemi Mcp?

PostHog MCP Server belongs to the Data Platforms category with local stdio execution, while Alkemi Mcp belongs to the Data Platforms category with local stdio execution.

How do I install PostHog MCP Server or Alkemi Mcp 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 PostHog MCP Server and Alkemi Mcp free or paid?

PostHog MCP Server operates under a Free / Open Source model (No auth required). Alkemi Mcp operates under a Freemium model (API Key required).

Which MCP server has more tools and community activity?

PostHog MCP Server lists 0 tools with 0 views and 0 GitHub stars. Alkemi Mcp lists 5 tools with 3 views and 4 GitHub stars.

Can I use both PostHog MCP Server and Alkemi Mcp 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.

How do I install PostHog MCP Server or Alkemi Mcp in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are PostHog MCP Server and Alkemi Mcp free to use, or do they require API keys?

PostHog MCP Server is listed under a Free / Open Source model with No auth required . Alkemi Mcp operates under a Freemium model with API Key required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both PostHog MCP Server and Alkemi Mcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both posthog-mcp-server and alkemiai-alkemi-mcp as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, PostHog MCP Server has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Alkemi Mcp holds a Quality Score of 43 /100 ( Fair ) with 3 views, 0 installs, and 4 GitHub stars.

Side-by-Side Model Context Protocol Comparison

PostHog MCP Server vs Alkemi Mcp

In-depth architectural comparison of the PostHog MCP Server and Alkemi Mcp 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

PostHog MCP Server

Data Platforms · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Alkemi Mcp

Data Platforms · Local stdio

Quality: 43/100 (Fair) | Auth: API Key required

Verdict Summary: Choose PostHog MCP Server if you need specialized Data Platforms tools running via a local process. Choose Alkemi Mcp if your workspace requires Data Platforms integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose PostHog MCP Server when:

You need dedicated capabilities in the Data Platforms domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore PostHog MCP Server Details

Choose Alkemi Mcp when:

You need dedicated capabilities in the Data Platforms domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: BEARER_TOKEN, PRODUCT_ID, MCP_NAME.
Primary tools included: Natural language querying of multiple data platforms, Centralized metadata and query generation via Alkemi.ai, Supports Snowflake, Google BigQuery, Databricks.

Explore Alkemi Mcp Details

Feature & Specification Comparison

Specification	P PostHog MCP Server Data Platforms	Alkemi Mcp alkemiai Data Platforms
Summary	Official PostHog MCP Server for product analytics, feature flags, experiments, and more.	MCP Server for natural language querying of Snowflake, Google BigQuery, and DataBricks Data Products through Alkemi.ai.
Category & Scope	Data Platforms	Data Platforms

Tools & Capabilities Breakdown

PostHog MCP Server Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Alkemi Mcp Tools (5)

Natural language querying of multiple data platforms

Centralized metadata and query generation via Alkemi.ai

Supports Snowflake, Google BigQuery, Databricks

Configurable product scoping via environment variable

STDIO interface compatible with MCP clients

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).

PostHog MCP Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "posthog-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "posthog-mcp-server"
      ]
    }
  }
}

Alkemi Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "alkemiai-alkemi-mcp": {
      "command": "npx",
      "args": [
        "@alkemiai/alkemi-mcp"
      ],
      "env": {
        "BEARER_TOKEN": "YOUR_BEARER_TOKEN_HERE",
        "PRODUCT_ID": "YOUR_PRODUCT_ID_HERE",
        "MCP_NAME": "YOUR_MCP_NAME_HERE"
      }
    }
  }
}

Frequently Asked Questions

PostHog MCP Server is categorized under Data Platforms and uses a local stdio subprocess. In contrast, Alkemi Mcp belongs to Data Platforms using local stdio subprocess. Select PostHog MCP Server when you need capabilities focused on data platforms and Alkemi Mcp when you require tools for data platforms.

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