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100
MCP live MCP 2025-11-25 streamable-http

RPCS-1 Agent Tuner & Translation Bridge

io.github.travisbergen2/rpcs1-agent-tuner

Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.

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Get before/after evidence when observed tools, schemas, authentication access, availability or the endpoint changes.

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Uptime
100.0%
5 direct probes · 30d
Response
589ms
last probe
Tools
9
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://rpcs1.dev/mcp
Score: 100/100
Handshake verified by our own probe.
why this score
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
9 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
9 items in total; 3 or more earns these points.
pass Describes itself 10/10
94 characters; more than 30 earns these points.

Tools · 9

recommend_agent_configuration

Diagnose why a deployed AI agent may fail. Takes environmental entropy, predictability, stakes, context horizon, and commitment style, then returns receiver profile values (TI, SG, FT, UE, AR), platfo…

interpret

Detect ambiguity in user messages using the RPCS-1 Signature Ambiguity Framework. Returns AR level (AR0-AR5), confidence, candidate interpretations with scores, clarifying questions, and suggested nex…

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 th…

normalize

Clean up text with ellipses, fragments, and run-on thoughts into coherent prose. Use when a user types stream-of-consciousness or fragmented input.

rewrite

Get rewrite instructions for adapting text to a specific style: technical, plain, socially_gentle, concise, detailed, or direct. Use when communication needs tone adjustment.

calibrate_profile

Build a ReceiverProfile (TI, SG, FT, UE, AR — continuous 0-100, never a category label) from five behavioral forced-choice answers. Call with NO answers to get the five questions to ask the user; call…

prepare_prompt

The inbound half of the Translation Bridge loop. Takes the user’s raw message (possibly ambiguous, fragmented, or underspecified) plus their ReceiverProfile, and returns the recovered intent, a canoni…

render_reply

The outbound half of the Translation Bridge loop. Takes your draft reply plus the user’s ReceiverProfile and returns deterministic rendering instructions (structure, warmth, explicitness, revision pos…

route_intent

Entropy routing over competing interpretations — the model proposes, the deterministic core disposes. YOU generate the candidate readings of the user’s message (3–7 short hypotheses covering the plaus…

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "rpcs-1_agent_tuner_\u0026_translation_bridge": {
      "url": "https://rpcs1.dev/mcp",
      "transport": "streamable-http"
    }
  }
}