Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Source-traced evidence research for AI agents. We organise the evidence; you decide.
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。
TRU8_API_KEY, TRU8_API_URL, X-API-Key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。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"tru8": {
"command": "uvx",
"args": [
"tru8-mcp"
],
"env": {
"TRU8_API_KEY": "your-value",
"TRU8_API_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http tru8 https://api.trueight.com/mcp/ --header 'X-API-Key: your-value'claude mcp add tru8 --env TRU8_API_KEY=your-value --env TRU8_API_URL=your-value -- uvx tru8-mcp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": {
"tru8": {
"url": "https://api.trueight.com/mcp/",
"headers": {
"X-API-Key": "your-value"
}
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"tru8": {
"command": "uvx",
"args": [
"tru8-mcp"
],
"env": {
"TRU8_API_KEY": "your-value",
"TRU8_API_URL": "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": {
"tru8": {
"type": "http",
"url": "https://api.trueight.com/mcp/",
"headers": {
"X-API-Key": "your-value"
}
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"tru8": {
"type": "stdio",
"command": "uvx",
"args": [
"tru8-mcp"
],
"env": {
"TRU8_API_KEY": "your-value",
"TRU8_API_URL": "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。
TRU8_API_URL envX-API-Key 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。
工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
tru8_checkEvidence research for a factual claim or article URL. Submit a claim as text or paste an article URL. URLs are auto-detected and trigger article mode: the pipeline extracts claims from the page and auto-selects up to 5 for evidence research. Tiers (in fallback order): - lookup (~
tru8_get_resultRetrieve a previously submitted check with pre-computed analytics. Returns the full result including a _computed block with tier/type distributions, corroboration groups, diagnostic values, timeline analysis, element state summaries, and per-claim dispositions. Use this over tru8
tru8_get_result_rawRetrieve a previously submitted check without computed analytics. Returns claims, elements, evidence, and claim maps only. No _computed block. Smaller response payload. Use this when you will compute your own aggregations or only need specific fields from the raw data.
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8日
注册名称已通过 GitHub 账户 SamYatesSmith 验证,该账户拥有此仓库
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
在 159 毫秒内响应(HTTP 200)
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已读取 3 个工具描述,未发现针对 AI 的隐藏指令
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 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。
你需要填写:TRU8_API_KEY, X-API-Key
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(1.0.6)于5天前进入注册中心。
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。
Tru8 organises evidence so you can decide what matters. Submit a claim or URL, and Tru8 retrieves evidence from the open web and specialist APIs, classifies it by tier (primary / reporting / commentary) and type (data / official / news / analysis / opinion / academic), decomposes claims into elements, maps evidence to those elements, and presents the full landscape — structured, not summarised.
Mission: "We organise; you decide."
docker-compose up -d # PostgreSQL 16, Redis 7, Qdrant
cd backend
python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate pip install -r requirements.txt cp .env.example .env # Edit with your API keys alembic upgrade head uvicorn app.main:app --reload # http://localhost:8000
cd web
npm install npm run dev # http://localhost:3000
tru8/
├── backend/ # FastAPI backend + evidence pipeline │ ├── app/ │ │ ├── api/v1/ # REST endpoints (checks, agent, verify, payments) │ │ ├── core/ # Config, auth, pricing, manifest signing │ │ ├── models/ # SQLModel schemas (Check, Claim, Evidence, ClaimConsensus) │ │ ├── pipeline/ # Two-phase evidence pipeline │ │ ├── services/ # API adapters, search, payments, consensus │ │ └── utils/ # Classifiers, deduplication, query planning │ ├── alembic/ # Database migrations │ ├── tru8_mcp/ # MCP server package for AI agents │ └── tests/ # 990 unit + integration tests ├── web/ # Next.js 14 frontend │ ├── app/ # Pages (dashboard, developers, public reports) │ ├── components/ # Evidence views, claim map, marketing │ └── lib/ # API client, tiers, diagnostics ├── shared/ # Shared TypeScript types ├── docker-compose.yml # PostgreSQL, Redis, Qdrant, MinIO (optional) └── .claude/CLAUDE.md # Full engineering context
Two-phase pipeline with user claim selection gate (article mode):
Phase 1: Ingest → Extract claims → Classify article → Rank claims
[PAUSE — user selects claims]
Phase 2: Fact-check lookup → Decompose into elements → Retrieve evidence → Score relevance → Classify tier/type → Map evidence to elements → Derive orientation → Complete
Post: Coverage recovery (Stage 5.1), video recommendations, auto-archiving
Evidence flows through web search plus specialist source adapters:
| Category | Sources |
|---|---|
| Web search | Serper.dev, Brave Search, SerpAPI (fallback chain) |
| Fact-check | Google Fact-Check API |
| Government | GOV.UK, Hansard, GovInfo, Companies House, ONS |
| Legal | UK Legislation (legislation.gov.uk) |
| Economic | FRED, Marketaux, World Bank |
| Academic | Semantic Scholar, OpenAlex, PubMed |
| Climate | NOAA, WeatherAPI, Open-Meteo, GBIF |
| Archives | Wikipedia (+ reference mining), Library of Congress, Internet Archive |
| Health | WHO |
| Sports | Transfermarkt, Football-Data.org |
| Video | YouTube Data API |
| View | Question it answers |
|---|---|
| Cartographer | What's the shape of this conversation? |
| Librarian | Is this the full set, clearly labelled? |
| Interpreter | Does this evidence answer this sub-question? |
| Projectionist | What's been said on camera? |
| Chronologist | When did the evidence appear? |
| Seeker | What don't we know yet? |
Tru8 exposes a developer API and MCP server for AI agents.
# Quick check (~15s, heuristic classification)
curl -X POST https://api.trueight.com/api/v1/agent/quick \ -H "X-API-Key: $TRU8_API_KEY" \ -d '{"claim": "UK inflation is 3.2%"}'
curl -X POST https://api.trueight.com/api/v1/agent/check \ -H "X-API-Key: $TRU8_API_KEY" \ -d '{"claim": "UK inflation is 3.2%", "max_tier": "full"}'
| Tier | Cost | Time | What you get |
|---|---|---|---|
| Lookup | ~£0.02 | instant | Cached prior analysis |
| Consensus | ~£0.03 | instant | Cross-user aggregate landscape (k>=3 checks) |
| Quick | ~£0.07 | ~15s | Web search + heuristic classification |
| Full | ~£0.15 | ~60-90s | web + specialist APIs, LLM classification, element decomposition |
Three payment rails: x402 (USDC/SIWE), Skyfire (JWT), prepaid credits.
{
"mcpServers": { "tru8": { "command": "python", "args": ["-m", "tru8_mcp"], "env": { "TRU8_API_KEY": "tru8_sk_..." } } } }
Tools: tru8_check (evidence research with tier fallback), tru8_get_result (with analytics), tru8_get_result_raw.
Every completed check receives an HMAC-SHA256 signed manifest. Verify the signed fields haven't changed since signing:
curl https://api.trueight.com/verify/{check_id}
cd backend
pytest tests/ -v # Full suite (990 tests) pytest tests/unit/pipeline/ -v # Pipeline unit tests pytest tests/unit/agent/ -v # Agent/commerce tests pytest tests/integration/ -v # Integration tests
| Service | Port | Purpose |
|---|---|---|
| PostgreSQL 16 | 5433 | Primary database (SQLModel) |
| Redis 7 | 6379 | Cache + rate limiting |
| Qdrant | 6333 | Vector similarity search |
| MinIO (optional) | 9000 | Local S3 for file uploads |
Auth: Clerk (JWT + JWKS) for dashboard, API keys for developer access. Payments: Stripe (4 subscription tiers) + Agent per-use payments.
Copy backend/.env.example to backend/.env. Key groups:
| Group | Required | Variables |
|---|---|---|
| Database | Yes | DATABASE_URL |
| Redis | Yes | REDIS_URL |
| Auth | Yes | CLERK_SECRET_KEY, CLERK_JWT_ISSUER |
| LLM | Yes | GOOGLE_AI_API_KEY, OPENAI_API_KEY |
| Search | Yes (at least one) | SERPER_API_KEY, BRAVE_API_KEY, SERP_API_KEY |
| Payments | For subscriptions | STRIPE_SECRET_KEY, STRIPE_WEBHOOK_SECRET |
| Government APIs | Optional | FRED_API_KEY, NOAA_API_KEY, etc. |
| Manifest signing | Optional | MANIFEST_SIGNING_ENABLED, MANIFEST_SIGNING_KEY |
Feature flags (all default to sensible values): ENABLE_API_RETRIEVAL, ENABLE_LLM_RELEVANCE_SCORER, ENABLE_QUERY_PLANNING, etc. See backend/.env.example for the full list.
Private — All rights reserved.