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8 clients · secrets stay placeholders

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

claude mcp add --transport http rpcs1-agent-tuner https://rpcs1.dev/mcp

[mcp_servers.rpcs1-agent-tuner]
url = "https://rpcs1.dev/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "rpcs1-agent-tuner": {
      "type": "remote",
      "url": "https://rpcs1.dev/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "rpcs1-agent-tuner": {
      "type": "http",
      "url": "https://rpcs1.dev/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=rpcs1-agent-tuner&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vcnBjczEuZGV2L21jcCJ9"
}

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

{
  "mcpServers": {
    "rpcs1-agent-tuner": {
      "httpUrl": "https://rpcs1.dev/mcp"
    }
  }
}

extensions:
  "rpcs1-agent-tuner":
    enabled: true
    name: "rpcs1-agent-tuner"
    type: streamable_http
    uri: "https://rpcs1.dev/mcp"
    timeout: 300

Quality 88 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene93 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations9 of 9 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 3,577 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

9 tools, about 3,577 tokens to load them all · tool set abfc65a66701 · checked 2026-10-19 15:15 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 94 / 100

provenance90

liveness100

freshness85

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-83d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://rpcs1.dev/mcp` streamable-http	none	yes	100%	302 ms	2025-11-25	2026-10-19

Tools (9)

`calibrate_profile`read-only	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 again with their answers (a/b/c per primitive) to get the profile. Store the returned profile JSON in the user’s notes or memory and pass it to render_reply / prepare_prompt on every turn. Deterministic and stateless — nothing is stored server-side. Schema: https://rpcs1.dev/v1/receiver-profile.json
`fork`read-only	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. Returns competing readings, an ask-back question, and a forked-answer scaffold. Silent on clean text by contract. Runs the deterministic mirror floor only over MCP (no model). Prefer this over interpret for span-level ambiguity detection: interpret’s entity list is a word-list engine (calibrated 2026-08-15: no discrimination on conversational text) — advisory only.
`interpret`read-only	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 next step. Use when a user says something vague, passive-aggressive, or underspecified.
`normalize`read-only	Clean up text with ellipses, fragments, and run-on thoughts into coherent prose. Use when a user types stream-of-consciousness or fragmented input.
`prepare_prompt`read-only	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 canonical translation to act on, ambiguity level, and — profile-aware — whether to clarify or commit. Call this before acting on any ambiguous user request. Scope note: its detectors are lexical/structural (vague signals, ambiguous references) — for the commit-vs-clarify DECISION, route_intent (with your own proposed readings) is the authority; when they disagree, follow route_intent.
`recommend_agent_configuration`read-only	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), platform parameters (temperature, top_p, strategy), regime prediction, reasoning, and warnings. Optionally pass target_model (the actual model id) to attach MEASURED per-model receiver posture (E-LIT table): evidence-graded literalness, truth-override boundary, and translation directives. Deterministic, stateless, read-only — does not store past recommendations.
`render_reply`read-only	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 posture, ambiguity handling — each with a why-trace). Apply the instructions to your draft before answering. Call this on every reply to a calibrated user.
`rewrite`read-only	Get rewrite instructions for adapting text to a specific style: technical, plain, socially_gentle, concise, detailed, or direct. Use when communication needs tone adjustment.
`route_intent`read-only	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 plausible interpretations, INCLUDING likely-typo readings, idiom-vs-literal readings, and domain senses) and pass them as hypotheses, ideally with your own likelihoods (0–1 per reading) AND a paraphrase per reading — the user’s message rewritten unambiguously under that interpretation, so the user can VERIFY intent by recognition before anything commits (one misread prompt skews a whole thread). The router computes the posterior and its normalized entropy T̂ and returns the decision: commit (one reading dominates), commit_with_note (close alternative disclosed), present_options (several readings live), or clarify (ask before acting — open-endedly when nothing discriminates). Thresholds adapt to the user’s ReceiverProfile (AR widens/narrows the commit region; high FT discloses near-ties). This tool is the commit-vs-clarify AUTHORITY in the pipeline. Omitting hypotheses falls back to a generic six-intent PRODUCT-ROUTING starter set — do not use the fallback for interpreting arbitrary sentences. Deterministic, stateless, read-only. Benchmarked: RTEB v1.1 (developer-bench grade; see docs/routing.md).

Schemas: list_tools.

Also listed as

1 other active names share this repository: io.github.travisbergen2/second-brain

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Official server.json

{
  "name": "io.github.travisbergen2/rpcs1-agent-tuner",
  "_meta": {
    "io.modelcontextprotocol.registry/publisher-provided": {
      "auth": "none (anonymous, read-only, rate-limited)",
      "docs": "https://rpcs1.dev/docs/mcp",
      "tools": [
        "recommend_agent_configuration",
        "interpret",
        "normalize",
        "rewrite",
        "calibrate_profile",
        "prepare_prompt",
        "render_reply"
      ]
    }
  },
  "title": "RPCS-1 Agent Tuner & Translation Bridge",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://rpcs1.dev/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.3.0",
  "repository": {
    "url": "https://github.com/travisbergen2/rpcs1-sdk",
    "source": "github"
  },
  "websiteUrl": "https://rpcs1.dev/tuner?utm_source=official-mcp-registry&utm_medium=mcp-directory&utm_campaign=listing",
  "description": "Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts."
}