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Evals MCP Server

作者:cyanheads版本 0.1.6i★ –i在你的电脑上运行
注册名称io.github.cyanheads/evals-mcp-server

安装

概览

作者提供的说明(英文原文)

Author verifiable eval records through a draft→review→revise→submit loop with enforced graders.

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。

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。

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:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: EVALS_DATA_DIR, EVALS_REQUIRE_CONFIRMATION, EVALS_DEFAULT_LICENSE, EVALS_CAPTURE_DIR, MCP_LOG_LEVEL

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "evals": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/evals-mcp-server"
      ],
      "env": {
        "EVALS_DATA_DIR": "your-value",
        "EVALS_REQUIRE_CONFIRMATION": "your-value",
        "EVALS_DEFAULT_LICENSE": "your-value",
        "EVALS_CAPTURE_DIR": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add evals --env EVALS_DATA_DIR=your-value --env EVALS_REQUIRE_CONFIRMATION=your-value --env EVALS_DEFAULT_LICENSE=your-value --env EVALS_CAPTURE_DIR=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/evals-mcp-server

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": {
    "evals": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/evals-mcp-server"
      ],
      "env": {
        "EVALS_DATA_DIR": "your-value",
        "EVALS_REQUIRE_CONFIRMATION": "your-value",
        "EVALS_DEFAULT_LICENSE": "your-value",
        "EVALS_CAPTURE_DIR": "your-value",
        "MCP_LOG_LEVEL": "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": {
    "evals": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/evals-mcp-server"
      ],
      "env": {
        "EVALS_DATA_DIR": "your-value",
        "EVALS_REQUIRE_CONFIRMATION": "your-value",
        "EVALS_DEFAULT_LICENSE": "your-value",
        "EVALS_CAPTURE_DIR": "your-value",
        "MCP_LOG_LEVEL": "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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • EVALS_DATA_DIR env
    Root folder for record JSON. The store manages drafts/, submitted/, and exports/ subdirs under it.
  • EVALS_REQUIRE_CONFIRMATION env
    When 'true', evals_submit_draft requests human confirmation before finalizing.
  • EVALS_DEFAULT_LICENSE env
    Default metadata.license applied when a draft omits one.
  • EVALS_CAPTURE_DIR env
    Directory of framework-written tool-call captures; when set, captures EvalsIDs resolve to full dumps.
  • MCP_LOG_LEVEL env
    Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 cyanheads 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18336 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18336 个服务器的 64% 更新
  • 基础检查结果等于或优于此分类中其他 18336 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

Evals MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.6)于25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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, NexusWindows

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

NexusWindows

作者:pironjulien

Windows computer use in the background: desktop apps driven without your mouse or keyboard.

在你的电脑上运行今天更新
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。

@cyanheads/evals-mcp-server Author verifiable eval records through a draft → review → revise → submit loop with server-enforced graders; compile to JSONL/CSV/Inspect/lm-eval via MCP. STDIO or Streamable HTTP. 9 Tools • 1 Resource


Overview

Build verifiable eval records with server-enforced graders. Draft a record with its own executable grader, revise it field by field, and submit through a gate that requires the gold answer to pass, a negative case to fail, and an independent check to agree. Export to JSONL, CSV, Inspect AI, or lm-evaluation-harness.

Tools
ToolDescription
evals_describe_schemaReturn the required and optional fields plus grader options for a task type. Call before drafting.
evals_create_draftCreate a draft eval record carrying its own grader; returns the parsed record, a review protocol, and a verification subagent prompt.
evals_get_recordRead a draft or submitted record by id; the id is stable across submit.
evals_revise_draftApply a surgical set / append / unset patch to a draft by dotted path; re-runs the self-consistency check.
evals_discard_draftDelete a draft record by id. Draft-only.
evals_run_checkRun a grader spec against candidate answers and get PASS/REJECT per candidate, decoupled from any saved record.
evals_submit_draftFinalize a draft through the committability gate, then freeze it.
evals_list_recordsBrowse and filter records by status, domain, task type, or tag. Returns a compact summary per record.
evals_export_recordsCompile submitted records to JSONL, CSV, Inspect AI, or lm-evaluation-harness and write the artifact under exports/.
Resources
ResourceDescription
eval://record/{id}A single draft or submitted record by id — the same payload evals_get_record returns, for resource-capable clients.

All record data is also reachable through the tool surface — evals_get_record for a single record, evals_list_records to browse. The resource is a convenience mirror for clients that support resources, not the access path.

Capability reference

evals_describe_schema tool
  • Accepts task_type: numeric, exact_answer, set_answer, mcq, regex_answer, json_answer, or free_response.
  • Returns the gold shape, grader kinds, required/optional fields, and authoring notes from static schemas; mcq requires choices, and free_response requires llm_rubric.

evals_create_draft tool
  • Accepts a record with its grader and discrimination cases, plus optional verification and captures (EvalsIDs); mcq requires choices, and free_response requires llm_rubric.
  • Saves the record as a draft once its grader runs, and returns the normalized record, a review protocol, a verification-subagent prompt, and what submit still needs. A draft whose gold fails its grader is still saved.
  • Typed errors: grader_unexecutable, task_type_constraint, mcq_choice_mismatch.

evals_get_record tool
  • Reads a draft or submitted record by id, which stays stable across submit.
  • Returns the full grader, discrimination cases, and verification evidence; not_found points to evals_list_records.

evals_revise_draft tool
  • Applies set, append, and unset by dotted path to a draft; task_type and server-owned fields cannot be changed, and arrays are replaced whole or appended, not edited by index.
  • Re-validates the record and grader before writing, then returns the record plus changed entries (op, path, before, after). An unknown path rejects the whole patch.
  • Typed errors: not_found, record_frozen for a submitted id, invalid_patch_path, grader_unexecutable, task_type_constraint, mcq_choice_mismatch.

evals_discard_draft tool
  • Deletes a draft by draft_id and returns discarded: true.
  • A submitted record reports record_frozen; a missing or already discarded id reports not_found.

evals_run_check tool
  • Runs a grader against one or more candidates without a saved record; supply gold for exact_match, while target-embedding kinds such as numeric and mcq ignore it.
  • Returns PASS/REJECT, detail, and the resolved reference per candidate. llm_rubric can't be run here.
  • Numeric grading accepts only finite real values; unit-bearing, complex, nonfinite, and non-scalar candidates are rejected. units is documentation only.
  • Typed errors: grader_unexecutable, mcq_choice_mismatch.

evals_submit_draft tool
  • Finalizes by draft_id: gold must PASS, ≥1 negative must be REJECTED, and decorrelated verification must agree. Also checks captures against EVALS_CAPTURE_DIR, rejects duplicate content_hash, and can ask for confirmation via confirm or EVALS_REQUIRE_CONFIRMATION.
  • On success, freezes the record with submitted_at and checksum and returns status: submitted; a refusal leaves the draft intact. free_response records rely on verification alone and carry server_verified: false.
  • Typed errors: not_found, record_frozen, verification_incomplete, grader_failed_on_gold, verification_disagrees_with_gold, missing_negative_case, negative_case_passed, duplicate, decorrelation_violation, capture_unresolved, submit_declined.

evals_list_records tool
  • Filters by status (draft/submitted), domain, task_type, or tag; limit is a positive integer and defaults to 50.
  • Returns summaries (id, status, task_type, domain, tags, timestamps), newest-first, with shown, cap, totalCount, and truncated.

evals_export_records tool
  • Exports submitted records, optionally filtered by domain, task_type, or tag, as jsonl (lossless), csv (lossy summary), inspect (Inspect AI), or lm-eval (lm-evaluation-harness).
  • Writes under exports/ and returns the path, record count, byte size, and preview.

eval://record/{id} resource
  • Reads id from evals_list_records or a draft/submit response.
  • Returns the evals_get_record payload as application/json, or not_found when no record matches.

Features

Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.

Eval authoring:

  • A draft → review → surgical-revise → submit loop, with the server both storing records and running each record's own grader to reject what doesn't hold up
  • Seven task types: numeric, exact_answer, set_answer, mcq, regex_answer, json_answer, free_response
  • A grader serialized with each record; deterministic kinds (numeric via math.js, exact_match, set_match, regex, mcq, json_match) run server-side, while llm_rubric relies on recorded independent verification
  • A submit gate: the gold must pass its own grader, ≥1 negative must be rejected, and a recorded decorrelated verification must agree with the gold
  • Plain JSON files under EVALS_DATA_DIR, with drafts, submitted records, and exports kept separate

Agent-friendly output:

  • evals_create_draft and evals_revise_draft return the parsed record, a per-field review protocol, and a ready-to-paste verification-subagent prompt
  • Draft and revise responses report pass/reject results for each positive and negative case
  • evals_list_records reports shown / cap / total count when the limit is hit
  • The submit gate fails with a typed reason plus a recovery hint

Getting started

Add the following to your MCP client configuration file. Set EVALS_DATA_DIR to a writable folder — the server manages drafts/, submitted/, and exports/ under it.

{

"mcpServers": { "evals-mcp-server": { "type": "stdio", "command": "bunx", "args": ["@cyanheads/evals-mcp-server@latest"], "env": { "MCP_TRANSPORT_TYPE": "stdio", "MCP_LOG_LEVEL": "info", "EVALS_DATA_DIR": "/absolute/path/to/evals-data" } } } }

Or with npx (no Bun required):

{

"mcpServers": { "evals-mcp-server": { "type": "stdio", "command": "npx", "args": ["-y", "@cyanheads/evals-mcp-server@latest"], "env": { "MCP_TRANSPORT_TYPE": "stdio", "MCP_LOG_LEVEL": "info", "EVALS_DATA_DIR": "/absolute/path/to/evals-data" } } } }

Or with Docker:

{

"mcpServers": { "evals-mcp-server": { "type": "stdio", "command": "docker", "args": [ "run", "-i", "--rm", "-e", "MCP_TRANSPORT_TYPE=stdio", "-v", "evals-data:/usr/src/app/evals-data", "ghcr.io/cyanheads/evals-mcp-server:latest" ] } } }

For Streamable HTTP, set the transport and start the server:

MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 EVALS_DATA_DIR=./evals-data bun run start:http

Server listens at http://localhost:3010/mcp

Prerequisites
  • Bun v1.4.0 or higher (or Node.js v24+).
  • A writable directory for EVALS_DATA_DIR. No external API key is required.
Installation
  1. Clone the repository:
git clone https://github.com/cyanheads/evals-mcp-server.git
  1. Navigate into the directory:
cd evals-mcp-server
  1. Install dependencies:
bun install
  1. Configure environment:
cp .env.example .env

edit .env and set EVALS_DATA_DIR

Configuration

All server configuration is validated at startup via Zod schemas in src/config/server-config.ts.

VariableDescriptionDefault

| EVALS_DATA_DIR | Root folder for record JSON; the store manages drafts/, submitted/, and exports/ under

只显示了开头部分;其余内容请在仓库中阅读

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