INDIVIDUAL MCP TOOL

route_intent

Entropy routing over competing interpretations — the model proposes, the deterministic core disposes.

rpcs1.devnone authenticationAvailability not checked

LIVE ENDPOINT

https://rpcs1.dev/mcp

No auth detected

Connect to this endpoint to inspect the live schema for route_intent and invoke it with your own arguments.

{}

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.rpcs1-agent-tuner]
url = "https://rpcs1.dev/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "rpcs1-agent-tuner": {
      "type": "http",
      "url": "https://rpcs1.dev/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: rpcs1-agent-tuner
Remote MCP URL: https://rpcs1.dev/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": {
    "rpcs1-agent-tuner": {
      "url": "https://rpcs1.dev/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "rpcs1-agent-tuner": {
      "type": "http",
      "url": "https://rpcs1.dev/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "rpcs1-agent-tuner",
  "transport": "streamable-http",
  "url": "https://rpcs1.dev/mcp"
}

MCP Inspector

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

recommend_agent_configuration — Diagnose why a deployed AI agent may fail.
interpret — Detect ambiguity in user messages using the RPCS-1 Signature Ambiguity Framework.
fork — The calibrated ambiguity surface: deterministic structural fork detectors (reference, scope, grouping, compare-vs-choose, polysemy) with character-offset spans, plus per-reading one-line clarifiers the sender can append to lock a reading in.
normalize — Clean up text with ellipses, fragments, and run-on thoughts into coherent prose.
rewrite — Get rewrite instructions for adapting text to a specific style: technical, plain, socially_gentle, concise, detailed, or direct.
calibrate_profile — Build a ReceiverProfile (TI, SG, FT, UE, AR — continuous 0-100, never a category label) from five behavioral forced-choice answers.
prepare_prompt — The inbound half of the Translation Bridge loop.
render_reply — The outbound half of the Translation Bridge loop.