Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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
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 …”。
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 evals https://completionkit.com/mcp --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"evals": {
"url": "https://completionkit.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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"evals": {
"type": "http",
"url": "https://completionkit.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。
Authorization 机密 必填 HTTP header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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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6日
注册名称已通过域名 completionkit.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
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。
你需要填写:Authorization
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。
GitHub 仓库最后更新于–,最新版本(1.0.0)于4个月前进入注册中心。
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。
同一分类中有:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
Your prompts need tests too.
Run every prompt against real data. Score each output with an LLM judge against criteria you define. Change anything: the prompt, the model, the temperature, the dataset. Re-run and see exactly what got better and what broke. When the scores tell you something's off, CompletionKit suggests an improved prompt based on the judge's actual feedback on your runs. You inspect the diff, apply it as a new version, and verify the improvement.
It's the difference between "this prompt seems to work" and "this prompt scores 4.3 out of 5 across 200 inputs, up from 3.8 last version."
[Start on completionkit.com →](https://completionkit.com) | [RubyGems](https://rubygems.org/gems/completion-kit)
Just want to use it? CompletionKit Cloud is the same engine, fully hosted — zero install, no Rails ops, plans at completionkit.com/pricing.
Same engine, same UI, same REST API and MCP server — pick the deployment that fits. The first two are stack-agnostic: you run CompletionKit as a product and talk to it over HTTP and MCP, whatever language your own app is written in. The third is for teams already building on Rails.
The fastest path. Sign up and you're running on the same engine you'd self-host, without touching a Rails app. No db:migrate, no Puma, no Solid Queue, no provider key management — multi-tenant workspaces, your team logs in, you go. Plans at completionkit.com/pricing.
Run it on your own infra as a self-contained product. There's nothing to integrate and no Ruby to write — once it's up, you drive everything through the web UI, the REST API, and the MCP server, from whatever stack your own app is built in. It needs Postgres and a host that can run the app (Fly, Render, Heroku, Docker, …).
git clone https://github.com/homemade-software-inc/completion-kit.git
cd completion-kit/standalone bundle install bin/rails completion_kit:install:migrations bin/rails db:migrate
Run both a web server and a Solid Queue worker. In two terminals:
bin/rails server
bin/jobs
Or with foreman in one terminal: foreman start -f Procfile.dev.
Visit http://localhost:3000. Add a provider credential (Settings), create a prompt, upload a CSV dataset, and run it. See Deploying self-hosted for the production-env setup.
gem "completion-kit"
bin/rails generate completion_kit:install
bin/rails db:migrate
The engine mounts at /completion_kit. Generate / judge flows enqueue Active Job jobs (CompletionKit::GenerateRowJob, CompletionKit::JudgeReviewJob, CompletionKit::RunCompletionCheckJob), so your host app needs an Active Job adapter that actually processes them — Solid Queue, Sidekiq, GoodJob, etc. The :async adapter is not suitable for production: it runs jobs in the web Puma's thread pool with no durability and no retry, and a long LLM call will block request handling.
Host-app layout integration. If your host app overrides the engine layout (e.g. layout "application" on engine controllers, or rendering engine views inside your own shell), include both the engine's stylesheet and JavaScript in that layout:
<%= stylesheet_link_tag "completion_kit/application", media: "all" %>
<%= javascript_include_tag "completion_kit/application", defer: true, nonce: true %>
Without the JavaScript include, in-page behaviours silently fail: clickable table rows, dialogs, copy buttons, the API token reveal, the run form, live run status, live tag-breadcrumb updates, relative-time ticking, CSV row hover-expand, model-refresh progress, focus-first-error, and local-time formatting.
Content Security Policy. The engine's pages have no inline event handlers or inline scripts, and the engine layout puts the request nonce on its script tags, so the pages work under a nonce-based script-src. The views still use inline style attributes, so leave style-src out of the nonce directives and allow 'unsafe-inline' there for now.
Use a nonce that lasts the whole session, not a fresh random one per request. Turbo Drive re-creates the scripts in each new page body with the nonce from the csp-nonce meta tag, but the browser keeps enforcing the policy header of the first page it loaded, so a per-request nonce blocks nonce scripts after the first Drive visit.
Keep a random nonce in the session, and skip it for API controllers so cookie-less API and MCP calls get no session cookie, as the example below does. The Rails default, ->(request) { request.session.id.to_s }, also lasts the session, but it is empty on a brand-new visitor's first response, so a policy that admits scripts only by nonce blocks that first page's scripts until the session exists.
Rails.application.configure do
config.content_security_policy do |policy| policy.default_src :self policy.script_src :self policy.style_src :self, :unsafe_inline end
config.content_security_policy_nonce_generator = lambda do |request| next if request.controller_instance.is_a?(ActionController::API)
request.session[:csp_nonce] ||= SecureRandom.base64(16) end config.content_security_policy_nonce_directives = %w(script-src) end
CompletionKit discovers available models from each provider's API automatically.
| Provider | Env vars | What it covers |
|---|---|---|
| OpenAI | OPENAI_API_KEY | GPT-5, GPT-4.1, GPT-4o, etc. |
| Anthropic | ANTHROPIC_API_KEY | Claude Opus, Sonnet, Haiku |
| Ollama / local endpoint | OLLAMA_API_ENDPOINT (default: http://localhost:11434/v1), OLLAMA_API_KEY (optional) | Any model you've ollama pull-ed, or any OpenAI-compatible local server (vLLM, LM Studio, llama.cpp) |
| OpenRouter | OPENROUTER_API_KEY | 100+ models from 30+ providers through one API key |
| Azure AI Foundry | No env var — add via the Providers UI / a ProviderCredential (api_key + api_endpoint required, api_version optional) | Azure OpenAI deployments and Foundry projects |
Set these as environment variables or configure them in the generated initializer. You can also add provider credentials through the web UI under Settings.
The Ollama key from OLLAMA_API_KEY or config.ollama_api_key goes only to the Ollama endpoint from OLLAMA_API_ENDPOINT or config.ollama_api_endpoint, or to http://localhost:11434/v1 when neither is set and config.allow_loopback_endpoints is on, which is the default. A provider credential with no key of its own gets that key only while it points at that same endpoint. Point it anywhere else and CompletionKit sends no key, so store the key on the credential itself. A key stored on a credential always goes to that credential's endpoint. Two endpoints match when their scheme, host, port and path match. The case of the scheme and host, a default port written out, a trailing slash and a trailing /v1 make no difference. A blank stored key counts as no key.
Provider API keys are encrypted at rest using Active Record encryption. You need three encryption keys configured before the app will boot in production.
Generate them:
bin/rails db:encryption:init
Then set them as environment variables:
COMPLETION_KIT_ENCRYPTION_PRIMARY_KEY=<generated value>
COMPLETION_KIT_ENCRYPTION_DETERMINISTIC_KEY= COMPLETION_KIT_ENCRYPTION_KEY_DERIVATION_SALT=
Or add them to config/credentials.yml.enc under active_record_encryption. In development, the standalone app uses built-in fallback values so you can skip this step locally.
CompletionKit requires authentication in any deployed environment. In development and test, routes are open by default (with a log warning); every other environment returns 403 until auth is configured.
CompletionKit.configure do |c|
c.username = "admin" c.password = ENV["COMPLETION_KIT_PASSWORD"] end
CompletionKit.configure do |c|
c.auth_strategy = ->(controller) { controller.authenticate_user! } end
Only one mode can be active.
When someone records a verdict on a judge's score in the web UI, CompletionKit saves it under a reviewer name. Each reviewer keeps one verdict per response and metric, so give every person their own name. Otherwise their verdicts overwrite each other. Set current_reviewer to a callable that receives the controller and returns the signed-in person's name:
CompletionKit.configure do |c|
c.auth_strategy = ->(controller) { controller.authenticate_user! } c.current_reviewer = ->(controller) { controller.current_user&.email } end
The callable must return a String or nil. Any other value, such as a user record, raises CompletionKit::ConfigurationError. If current_reviewer is unset or returns a blank value, verdicts are saved under username, or "operator" when no username is set. The web UI does not read the X-Remote-User header on its own. If a proxy in front of your app sets that header, pass it through:
CompletionKit.configure do |c|
c.current_reviewer = ->(controller) { controller.request.headers["X-Remote-User"] } end
Only use this header when a trusted proxy always overwrites it. Otherwise any client can send it and claim any reviewer name.
The REST API and the MCP server take the reviewer name from their own created_by parameter.
The REST API, the MCP endpoint, and the web UI are rate limited per IP, per minute. The defaults are generous; tune them in the initializer:
CompletionKit.configure do |c|
c.api_rate_limit = 120 # REST API + MCP, requests per minute (default 120) c.web_rate_limit = 300 # web UI, requests per minute (default 300) end
Limiting uses Rails.cache. A shared cache store (Solid Cache, Redis) throttles accurately across multiple app instances; a per-process store still throttles each instance independently.
Uploads, prompt templates, and regex check patterns have limits, so one large or hostile input cannot tie up a worker. Tune them in the initializer:
CompletionKit.configure do |c|
c.max_upload_bytes = 25 * 1024 * 1024 # largest dataset CSV or import file (default 25 MB) c.max_template_bytes = 1024 * 1024 # largest prompt template (default 1 MB) c.regex_timeout = 1.0 # seconds a regex check may spend matching one row (default 1.0) end
A prompt whose template is over max_template_bytes fails validation when its template is saved. Prompts saved before a
只显示了开头部分;其余内容请在仓库中阅读