Saina Studio MCP

Saina Studio MCP provides AI clients with access to Saina's decision layer tools, allowing agents to interact with versioned decision endpoints, retrieve model scores, and manage decision workflows. It supports OAuth sign-in for up to 90-day access or API key authentication, enabling tasks like routing, gating, and assignment decisions using Helm models.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

Vendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-11-01Operated by Rama Labs Inc.

You need:add the URL as a custom connector, sign in to Saina Studio, choose Read only or Read and write, and approvesend an API key with the `mcp` scope in the `Authorization: Bearer` header

MCP endpoint (Streamable HTTP)

https://api.saina.run/v1/mcp

Vendor documentation

What you can do with it

Connect AI clients like Claude Code to Saina Studio via OAuth or API key
Retrieve structured scores and decisions from Helm models
Manage versioned decision endpoints and observe production performance
Execute decision workflows for routing, gating, and assignment

Source and maintenance

Vendor evidenceRegistry 1.0.0

mcp-registry: run.saina/studio-mcp@1.0.0 Project website

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool 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: 172 ms
95th percentile latency: 172 ms

Maintenance history

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

Nov 1, 2026, 7:03 AM UTC · probe · passed · 172 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

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 saina-studio-mcp https://api.saina.run/v1/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 saina-studio-mcp --url https://api.saina.run/v1/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable saina-studio-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "saina-studio-mcp": {
      "url": "https://api.saina.run/v1/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).

Cline configuration

{
  "mcpServers": {
    "saina-studio-mcp": {
      "type": "streamableHttp",
      "url": "https://api.saina.run/v1/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start saina-studio-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "saina-studio-mcp": {
      "type": "http",
      "url": "https://api.saina.run/v1/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 saina-studio-mcp https://api.saina.run/v1/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": {
    "saina-studio-mcp": {
      "url": "https://api.saina.run/v1/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": {
    "saina-studio-mcp": {
      "serverUrl": "https://api.saina.run/v1/mcp"
    }
  }
}

Let your agent find its tools

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