MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Nothing to run from here
RPCS-1 Agent Tuner & Translation Bridge is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
158
downloads in 30d
9
tools declared
remote
at its publisher
158
downloads
What it does
Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http rpcs-1-agent-tuner-translation-bridge-mcp https://rpcs1.dev/mcp
# 2 — ask your agent for something these tools do
# recommend_agent_configuration, interpret, fork and 6 more
RPCS-1 Agent Tuner & Translation Bridge costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
TRAll 2 servers
travisbergen22 servers
2 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http rpcs-1-agent-tuner-translation-bridge-mcp https://rpcs1.dev/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
9 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| task | object | no | — |
| environment | object | no | — |
| target_platform | string | no | The platform whose runtime parameters should be recommended. |
| target_model | string | no | Optional: the actual model id this agent will run on (e.g. "claude-sonnet-4-6", "deepseek-v4-pro"). When it matches a measured per-model receiver entry (E-LIT table), measured translation directives a |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | The message to interpret. |
| risk | string | no | Risk category for ambiguity threshold. |
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 ove
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | The message to analyze for forks. |
| rejected | array | no | Reading summaries the user already rejected — never re-offered. |
Clean up text with ellipses, fragments, and run-on thoughts into coherent prose. Use when a user types stream-of-consciousness or fragmented input.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | Fragmented text to normalize. |
Get rewrite instructions for adapting text to a specific style: technical, plain, socially_gentle, concise, detailed, or direct. Use when communication needs tone adjustment.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | Text to rewrite. |
| style | string | no | Target audience style. |
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. Determinis
| Parameter | Type | Required | Notes |
|---|---|---|---|
| answers | object | no | Chosen option id per primitive. Omit entirely to receive the questions. |
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | The user’s raw message. |
| risk | string | no | Risk category for the ambiguity threshold. |
| profile | object | no | The user’s ReceiverProfile from calibrate_profile. Shapes clarify-vs-commit behavior. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | Your draft reply. |
| profile | object | yes | The user’s ReceiverProfile from calibrate_profile. |
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 pe
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | The user’s raw message. |
| hypotheses | array | no | Candidate interpretations. Omit to use a generic six-intent starter set plus a catch-all. |
| likelihoods | object | no | Optional externally computed likelihood per hypothesis id (e.g. model-derived) — replaces the lexical scorer. |
| profile | object | no | The user’s ReceiverProfile from calibrate_profile. Shapes commit-vs-clarify thresholds. |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install RPCS-1 Agent Tuner & Translation Bridge or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
The scanner has read version 0.1.0 of this listing, but not the release on the shelf, so neither a grade nor a report is shown for it here. Nothing on this tab is ever borrowed from another release or another listing.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.3.0.
0.3.0
undated
latest- The version this listing was on when mcprush began following its releases. The registry was not asked when it shipped, so this row carries no date.
0.1.0
25 Aug 2026
No release note was published with this version.
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