Influxdb3 MCP Server vs Spark SQL

In-depth architectural comparison of the Influxdb3 MCP Server and Spark SQL 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.

Which MCP Server Should You Choose?

Choose Influxdb3 MCP Server when:

• You need dedicated capabilities in the Databases domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
• You have access to required keys: INFLUX_URL, INFLUX_TOKEN, INFLUX_ORG, INFLUX_BUCKET, INFLUX_MCP_TOOL_PROFILE.
• Primary tools included: load_database_context, get_help, write_line_protocol.

Explore Influxdb3 MCP Server Details

Choose Spark SQL when:

• You need dedicated capabilities in the Databases domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: list_databases, list_tables, describe_table.

Feature & Specification Comparison

Specification	Influxdb3 MCP Server InfluxData VerifiedDatabases	Spark SQL Databases
Summary	Official MCP server for InfluxDB 3 Core/Enterprise/Cloud Dedicated	Query Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala.
Category & Scope

Tools & Capabilities Breakdown

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).

{
  "mcpServers": {
    "influxdata-influxdb3-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "usage"
      ],
      "env": {
        "INFLUX_URL": "YOUR_INFLUX_URL_HERE",
        "INFLUX_TOKEN": "YOUR_INFLUX_TOKEN_HERE",
        "INFLUX_ORG": "YOUR_INFLUX_ORG_HERE",
        "INFLUX_BUCKET": "YOUR_INFLUX_BUCKET_HERE",
        "INFLUX_MCP_TOOL_PROFILE": "YOUR_INFLUX_MCP_TOOL_PROFILE_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "spark-sql": {
      "command": "uvx",
      "args": [
        "spark-sql-mcp-server"
      ]
    }
  }
}

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