AdaptOrch

Name: AdaptOrch
Author: dmae97

by dmae97version 0.5.2i★ –iRuns in the cloud

Registry nameio.github.dmae97/adaptorch-mcp

Install

Overview

Description from the maker (original English)

Hosted review records for AI coding agent changes: inputs, outputs, checks, open questions.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Other
You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http adaptorch https://adaptorch.com/mcp --header 'Authorization: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "adaptorch": {
      "url": "https://adaptorch.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "adaptorch": {
      "type": "http",
      "url": "https://adaptorch.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

Authorization secret required HTTP header
Bearer

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account dmae97, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 745 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32712 servers in this category
Published to the registry more recently than 79% of the other 32712 servers in this category
Basic checks equal to or better than 100% of the other 32712 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AdaptOrch safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: Authorization

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.2) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Aiterm MCP

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AdaptOrch MCP

adaptorch.com · adaptorchctl 한국어 가이드 · Configuration · Tools · Claude Code guide · GitHub Action · GitHub Marketplace · Remote service boundary · Publishing · Paper

AdaptOrch MCP is the remote-only MCP adapter for AdaptOrch. From Claude Code or another MCP client it submits work to the hosted control plane and returns available run status, bounded observations and artifact references. The private engine owns routing and execution on the server; it is not installed by this package. Trace access requires the explicit full profile; this adapter does not expose the research-only inference-tape replay API.

Use it when your coding agent says a patch works and you want the receipt before you merge, or when a task is too large, too ambiguous, or too expensive to trust to one single-pass response.

Claude Code → AdaptOrch MCP → route topology → run with synthesis → retrieve artifacts

Get your API key

AdaptOrch requires authentication. Get your token in two steps:

Sign up → adaptorch.com/app/signup
Create an API key → adaptorch.com/app/api-keys → generate a key (starts with ado_)

Use that key as ADAPTORCH_CONTROL_PLANE_TOKEN:

export ADAPTORCH_CONTROL_PLANE_TOKEN="ado_..."

export ADAPTORCH_API_KEY="$ADAPTORCH_CONTROL_PLANE_TOKEN"

Model-backed hosted runs require BYOK. Keep provider credentials in your local environment:

export ADAPTORCH_MCP_PROVIDER="openai"

export ADAPTORCH_MCP_PROVIDER_MODEL="gpt-4.1-mini" export ADAPTORCH_MCP_PROVIDER_API_KEY=" "

These values are not MCP tool arguments or JSON body fields. The local wrapper attaches them only to run submission headers and redacts the provider key from errors. Direct HTTP clients may attach configured headers to other requests as well; check your client's secret-handling settings.

OAuth BYOK (current source): openai_codex accepts a caller-owned OAuth access token in the same key slot, with ADAPTORCH_MCP_PROVIDER_AUTH_TYPE=oauth and ADAPTORCH_MCP_PROVIDER_ACCOUNT_ID= . A long-lived local MCP can use ADAPTORCH_MCP_PROVIDER_API_KEY_COMMAND= instead of a static key. The helper is caller-provided and must print only the fresh access token; login/refresh stays on the client. Never send refresh tokens, cookies or an entire auth file. Both the control plane and local engine must support this source contract. RQ dispatch still refuses request-scoped credentials.

Signup → MCP → dashboard run list

Sign up at /app/signup and open /app/api-keys.
Generate an ado_* key and copy the raw value once.
Set it only in your local MCP environment as ADAPTORCH_CONTROL_PLANE_TOKEN.
Run adaptorch_run or adaptorch_list_runs from Claude Code.
Refresh /app/runs in the dashboard to see the same tenant's run list.

한국어 요약: 가입 → /app/api-keys에서 ado_* 생성 → MCP env에 설정 → Claude Code에서 실행/목록 확인 → 대시보드 /app/runs에서 같은 실행 목록 확인.

Token	Purpose	Where to get it
`ADAPTORCH_CONTROL_PLANE_TOKEN`	All AdaptOrch API calls (run, status, artifacts)	Dashboard after signup
`ADAPTORCH_MCP_HTTP_AUTH_TOKEN`	Protect your local HTTP MCP endpoint	You define it (any secure string)

Plan prices and monthly run quotas come from the hosted plan catalog, not the installed package. BYOK provider charges are separate from the AdaptOrch subscription; an AdaptOrch key is not a provider key.

Engine-delegated optional algorithm controls (latest)

AdaptOrch MCP forwards optional algorithm controls to the hosted adaptorch engine. The public client does not implement these algorithms. Treat these as benchmark/eval or operator controls, not quickstart defaults.

Control	Scope	Verified behavior
`ADAPTORCH_REPRODUCIBLE`	Benchmark/eval beta	Fixes benchmark clock/RNG sources and canonicalizes record timing/path fields. It does not cover live-provider outputs, parallel-suite record order, cassettes, traces, or report timing aggregates.
`manifest_canonical_sha256`	Benchmark manifest	Importable as `adaptorch.benchmarking.manifest_canonical_sha256`; hashes canonical nonvolatile manifest fields.
`ADAPTORCH_ROUTER_ACCURACY_GATE`	Online router	`point` is the default; `wilson` uses a Wilson lower bound for learned-model adoption. Pair with operator knobs such as `retrain_window`, `min_loo_accuracy`, `min_posterior`, `quality_floor`, `use_quality_weights`, `use_failure_evidence`, `exploration_rate`, `max_observations`, `cv`, and `kfold_k`.
`pass_rate_credit` / `quality_signal`	Online-router learning	`compute_quality` tries exact-answer token matching before fuzzy matching. `pass_rate_credit` is opt-in partial credit; do not claim it changes `AdaptOrchEngine` router feedback by default.
`ADAPTORCH_PAPER_SEMANTIC_WEIGHT`	Synthesis	Default is `0.35`. Nonzero semantic weight, plus CJK/Hangul inputs, use Python scoring rather than the native fast path.
`prefer_multi_model_ensemble_singleton`	Routing threshold	Tri-state: unset auto-enables when at least two ensemble providers exist and synthesis mode is not `direct`, unless an explicit debate-singleton preference wins; explicit `false` disables the auto preference. The MCP hint `prefer_ensemble_singleton` accepts `true`/`false`/`null` with the same semantics.
`synthesis_mode`	Synthesis	Supported modes are `paper`, `robust`, `robust_lite`, and `stable_hybrid`. `fourier_aggressive` aliases `stable_hybrid`. Serving-only `auto` asks the control plane to choose; it is not an additional engine algorithm.
`output_extractor`	Ensemble extraction	Engine extractors are `final_answer` and `multiple_choice_letter`. The MCP value `none` means "no extractor" and is not forwarded.
`verification_status`	Evidence report	`GET /v1/runs/{run_id}/evidence` adds `execution_status`, `verification_status` (`NOT_RUN`, `PASSED`, `FAILED`, `INCONCLUSIVE`) and `verification_source` (`vera_v2`, `verification_items`, `none`). Only an all-`PASSED` set of verifier checks is `PASSED`; a lone run-level check reports execution, so its verdict stays `NOT_RUN`. `adaptorch-client` 0.1.5 types all three; older servers leave them `None`.
`is_training_eligible`	Online-router learning	Only `verification` and `gold_label` outcome sources train the naive-Bayes router or update the LinUCB bandit; self-consistency and unrecorded sources are stored but never rewarded. Bandit state is saved as version 2, and a version 1 file replays only its eligible observations.
`ADAPTORCH_EVIDENCE_BASIS_ENABLED`	Control-plane switch	Off by default. When a control plane enables it, `GET /v2/runs/{run_id}/evidence` adds a per-check `basis`. This wrapper's remote profile does not expose the engine's `include_evidence_basis` argument.

Research paper

AdaptOrch MCP follows the AdaptOrch research line. Read the paper on arXiv:

Abstract page: arxiv.org/abs/2602.16873
HTML paper: arxiv.org/html/2602.16873v1

Figure preview is sourced from the arXiv HTML version.

Install

There are four ways in. Pick by what you are: a Claude Code user, an agent, a program, or a terminal.

Release status (2026-11-03): adaptorch-mcp 0.6.1, adaptorch-cli 0.1.6 and

adaptorch-client 0.1.6 are published. adaptorch-mcp 0.6.x is a remote client with

no engine dependency. It forwards MCP calls to POST /v1/mcp; adaptorch.com serves that

path since 2026-11-03 (before that, every 0.6.0 call failed with "Remote MCP request failed").

adaptorch-mcp 0.3.0–0.5.2 depend on the engine distribution and do not install

against the code-free adaptorch 0.2.0; use 0.6.0 or later.

Source update (2026-10-26, not a publication): the workspace engine pin moves to a490658c, the revision the engine's runbook last recorded as served by the hosted control plane. adaptorch-client and adaptorch-cli 0.1.5 reuse keep-alive connections for reads (TLS 1.2 minimum, one CA-store load per client), type the evidence verification verdict, and parse large responses about twice as fast. The local MCP connector shares the same transport, its HTTP listener is bounded, and adaptorchctl run wait now honours --timeout. See network and transport notes.

Source update (2026-09-08, not a publication): this checkout adds request-scoped SDK BYOK, bounded read-only polling, subject-bound responses and typed algorithm observations. The local MCP facade uses a one-attempt, redirect-free transport and preserves requested/selected modes without exposing private diagnostics. See the client contract and verification record.

Claude Code plugin

The plugin adds the AdaptOrch MCP tools and a skill that tells Claude when and how to use them. It needs uv on your PATH.

claude plugin marketplace add dmae97/Adaptorch-MCP

claude plugin install adaptorch@adaptorch

Configure the AdaptOrch service key using /plugin configure adaptorch@adaptorch. For model-backed runs, also configure a provider, model ID and provider key in the dialog. Sensitive fields are stored in Claude Code's credential store. The plugin runs the published adaptorch-mcp 0.6.x remote client over stdio. Details are in plugins/adaptorch.

Kimi Code, Grok Build and Grok Bot

This repository also ships a Kimi Code plugin and a Grok Build plugin with the same public MCP client and an AdaptOrch skill. The Cursor plugin is the starting point for Grok Bot marketplace review. Setup, authentication and the separate listing status are documented in agent platform integrations. These are AdaptOrch-maintained integrations; hosting a marketplace in this repository does not imply listing in or endorsement by an upstream marketplace.

1. Hosted MCP — nothing to install (recommended)

The control plane serves MCP over HTT

Only the beginning is shown; read the rest in the repo

AdaptOrch

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Aiterm MCP

README from the maker

AdaptOrch MCP

Get your API key

Signup → MCP → dashboard run list

Engine-delegated optional algorithm controls (latest)

Research paper

Install

Claude Code plugin

Kimi Code, Grok Build and Grok Bot

1. Hosted MCP — nothing to install (recommended)