INDIVIDUAL MCP TOOL

subtensor_explore

Explore relationships, version history, removed items, changelogs, and migration guides between runtime versions.

subtensor.comnone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.subtensor-com]
url = "https://subtensor.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "subtensor-com": {
      "type": "http",
      "url": "https://subtensor.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: subtensor-com
Remote MCP URL: https://subtensor.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "subtensor-com": {
      "url": "https://subtensor.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "subtensor-com": {
      "type": "http",
      "url": "https://subtensor.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "subtensor-com",
  "transport": "streamable-http",
  "url": "https://subtensor.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

subtensor_search — Search across all Subtensor pallets, events, calls, storage, constants, and errors by keyword.
subtensor_lookup — Get detailed info about a specific pallet, event, call, storage item, constant, error, SCALE type, or RPC method.
subtensor_list — Browse items by category: pallets, events, calls, storage, constants, errors, types, runtime APIs, RPC methods, mechanisms, workflows, hyperparameters, cli_flags, build_features, chain_specs, or env_vars.
subtensor_explain — Understand Bittensor concepts, workflows, mechanisms, runtime APIs, runtime errors, extrinsic format, or get code examples.
subtensor_preferences — Get or set session preferences for language, node URL, and node type.