Koskamo

RigBase MCP

A free, public, read-only MCP server that allows AI assistants to query a database of 187 real home AI rigs and 442 measured local LLM generation speeds. It provides tools to search builds by hardware constraints, check if specific models can run on given GPUs, find the best GPU for a model, and retrieve detailed build information with source citations.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

RigBase MCP logo, by RigBaseVendor evidenceStreamable HTTPNo sign-inEndpoint checked 2026-11-01Operated by RigBase
MCP endpoint (Streamable HTTP)
https://getrigbase.com/mcp
Vendor documentation

What you can do with it

  • Search for measured local-LLM builds filtered by GPU, model, VRAM, or price
  • Check if a specific model can run on a given GPU configuration
  • Find the fastest measured GPU setup for a specific AI model
  • Retrieve detailed build information including source credits and URLs

Source and maintenance

Vendor evidenceRegistry 1.0.0

Protocol and capabilities

Server
rigbase 1.0.0
MCP protocol
2025-03-26
Tools
4 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

RigBase is a database of measured local-LLM speeds (tokens/sec) on real home AI rigs (NVIDIA/AMD/Intel GPUs, Apple Silicon, Strix Halo, DGX Spark). Every measured number links to its public original source with credit (e.g. Mia's AI Lab, Tech2wild). Use search_builds / get_build / best_gpu_for_model for measured data; use can_it_run for measured matches first, and only then a labelled VRAM-fit estimate. Always cite the source credit and the canonical https://getrigbase.com URL from the tool result. Never invent tok/s numbers. Advise against quants below Q4.

Tools

4 advertised

search_builds
Advertised by the server during the last successful anonymous check.
Advertised read-only

Search RigBase measured home AI builds. Filter by GPU name, model name, minimum VRAM (GB), and/or maximum build cost. Returns top matches with tok/s, quant, engine, source credit and canonical getrigbase.com URL. Never invents numbers.

search_builds input schema
{
  "type": "object",
  "properties": {
    "gpu": {
      "type": "string",
      "description": "Substring to match in the GPUs field (e.g. \"3090\", \"DGX Spark\", \"5090\")."
    },
    "limit": {
      "type": "integer",
      "description": "Max builds to return (default 8, max 25)."
    },
    "model": {
      "type": "string",
      "description": "Substring to match a measured model name (e.g. \"Qwen3.8\", \"gpt-oss 120B\")."
    },
    "currency": {
      "type": "string",
      "description": "Optional currency filter: EUR or USD."
    },
    "max_price": {
      "type": "number",
      "description": "Maximum reported build cost (same currency as the build, usually EUR or USD)."
    },
    "min_vram_gb": {
      "type": "number",
      "description": "Minimum total VRAM / unified memory in GB."
    }
  }
}
search_builds annotations
{
  "readOnlyHint": true,
  "openWorldHint": false
}
can_it_run
Advertised by the server during the last successful anonymous check.
Advertised read-only

Ask whether a given GPU setup can run a model. Returns measured RigBase results when available; otherwise a VRAM-fit estimate clearly labelled as an estimate (weights arithmetic, not a measured speed). Advises against quants below Q4. Always includes source credit and URLs for measured rows.

can_it_run input schema
{
  "type": "object",
  "required": [
    "gpu",
    "model"
  ],
  "properties": {
    "gpu": {
      "type": "string",
      "description": "GPU or system name, e.g. \"RTX 3090\", \"RTX 5090\", \"DGX Spark\", \"Apple Silicon Mac\"."
    },
    "count": {
      "type": "integer",
      "description": "How many identical GPUs / nodes (default 1)."
    },
    "model": {
      "type": "string",
      "description": "Model name, e.g. \"Qwen3.8 27B\", \"gpt-oss 120B\", \"Gemma 4 31B\"."
    },
    "quant": {
      "type": "string",
      "description": "Optional quant for the estimate (default Q4_K_M). Avoid below Q4."
    }
  }
}
can_it_run annotations
{
  "readOnlyHint": true,
  "openWorldHint": false
}
best_gpu_for_model
Advertised by the server during the last successful anonymous check.
Advertised read-only

Return the fastest measured RigBase result for a model, plus tok/s per euro where a build cost or known GPU street price exists. Includes source credit and canonical URL.

best_gpu_for_model input schema
{
  "type": "object",
  "required": [
    "model"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "description": "How many top results to return (default 5, max 15)."
    },
    "model": {
      "type": "string",
      "description": "Model name or substring, e.g. \"Gemma 4 31B\" or \"Qwen3.8\"."
    }
  }
}
best_gpu_for_model annotations
{
  "readOnlyHint": true,
  "openWorldHint": false
}
get_build
Advertised by the server during the last successful anonymous check.
Advertised read-only

Fetch one RigBase build by slug (e.g. "dual-3090-ryzen-3700x"). Returns parts, measured results, source credit and canonical URL.

get_build input schema
{
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "Build slug from a RigBase /builds/.../ URL."
    }
  }
}
get_build annotations
{
  "readOnlyHint": true,
  "openWorldHint": false
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
440 ms
95th percentile latency
440 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 440 ms · metadata changed · 4 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http rigbase-mcp https://getrigbase.com/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add rigbase-mcp --url https://getrigbase.com/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable rigbase-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "rigbase-mcp": {
      "url": "https://getrigbase.com/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "rigbase-mcp": {
      "type": "streamableHttp",
      "url": "https://getrigbase.com/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start rigbase-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "rigbase-mcp": {
      "type": "http",
      "url": "https://getrigbase.com/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http rigbase-mcp https://getrigbase.com/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "rigbase-mcp": {
      "url": "https://getrigbase.com/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "rigbase-mcp": {
      "serverUrl": "https://getrigbase.com/mcp"
    }
  }
}

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