AdaptOrch

Name: AdaptOrch
Author: dmae97

作者：dmae97版本 0.5.2i★ –i在云端运行

注册名称io.github.dmae97/adaptorch-mcp

安装

概览

作者提供的说明（英文原文）

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 其他
你需要填写：Authorization

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
需要你自己填写： Authorization

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

Authorization 机密必填 HTTP header
Bearer

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

服务器要求先登录，才会列出它的工具。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 dmae97 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 745 毫秒内响应（HTTP 401）
✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录，你的 AI 应用可以带你去登录
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32715 个服务器的 0%
发布到注册中心的时间比此分类中其他 32715 个服务器的 79% 更新
基础检查结果等于或优于此分类中其他 32715 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

AdaptOrch 安全吗？

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：Authorization

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.5.2）于9天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, First Sale Scout

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新

安装

First Sale Scout

作者：firstsale.pro

Playbooks and a 14-day checklist for founders winning their first paying customers.

在云端运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分；其余内容请在仓库中阅读