veris
Provenance-first web access for AI agents, delivering clean content with verifiable source metadata and SEC EDGAR financial data.
README
veris
Provenance-first web access for AI agents. Clean content plus verifiable source metadata, in one call.
Today an AI agent reading the web gets a wall of text. It does not get: when the page was published, whether the content changed since last time, who wrote it, the canonical source, or the license terms. veris attaches all of that to every read.
web_read("https://example.com/article")
→ clean markdown
+ { publishedAt, modifiedAt, author, canonicalUrl, contentHash, license, fetchedAt }
That metadata is not a nice-to-have. It is the foundation the rest of the AI-web economy needs: freshness, change-detection, citation, and — eventually — paying the people who wrote the content.
Why this exists
The web is being scraped by AI with no attribution and no payment. Publishers are responding by blocking bots and locking content. AI gets worse; publishers lose. The fix is a layer between agents and publishers that reads cleanly, tracks provenance, and (later) settles payment.
veris is the agent-side of that layer — the SDK every agent imports to consume the web responsibly. Think "Plaid for the AI web": you don't own the publishers, you own the integration developers reach for.
Roadmap (one codebase, three stages)
| Stage | What | Status |
|---|---|---|
| 1. Clean + provenance | search / read / research with verifiable source metadata | ✅ |
| 2. Finance vertical | SEC EDGAR filings with authoritative, official provenance | ✅ |
| 3. Settlement | license-aware access + micropayment + attribution | 🔜 seams in policy.ts + cache.ts |
The Stage 3 seams already exist in the code (policy.ts, cache.ts) so growth is additive, not a rewrite.
Tools
Web
| Tool | Does |
|---|---|
web_search(query, n?) |
Ranked results as structured JSON. Brave (with key) or keyless DuckDuckGo. |
web_read(url, fresh?) |
URL → clean markdown + provenance block. 24h cache. |
web_research(query, n?) |
Search + read top N + bundle with per-source citations. |
Finance — SEC EDGAR (free, official, no API key)
| Tool | Does |
|---|---|
finance_filings(query, formType?, limit?) |
Ticker / name / CIK → recent SEC filings: form, official filing & report dates, accession, direct document URL. |
finance_filing_read(url or query, formType?) |
Read a filing by URL, or auto-read the latest matching form for a company. Clean text + provenance. |
finance_financials(query) |
Revenue, net income, total assets, cash, diluted EPS from SEC XBRL — each figure stamped with the exact filing it came from. |
Why EDGAR first? Filings carry authoritative dates and identifiers straight from the SEC — provenance isn't guessed, it's official. Free, structured, no auth. One call gets an agent the latest 10-K with a verifiable source:
finance_filing_read({ query: "NVDA", formType: "10-K" }) → NVIDIA CORP — 10-K (filed 2026-02-25) clean text + { source, filed date, contentHash, wordCount }
Watch — change detection & alerts
| Tool | Does |
|---|---|
watch_manage(action, target?, formType?) |
Add/remove/list watches: a company's SEC filings (ticker + optional form like 8-K) or any URL (content-hash watch). |
watch_check() |
Check all watches; returns only what's NEW (new filings / changed pages) and rolls baselines forward. Run it on a schedule → alert feed. |
Install
npx -y veris-mcp # zero-install, always latest
Or from source:
git clone https://github.com/jakeyoung1/veris && cd veris
npm install && npm run build
Optional env:
export BRAVE_API_KEY=your_key # better search; https://search.brave.com/app/keys
export SEC_USER_AGENT="Your Name you@email.com" # SEC fair-access policy (recommended)
Without a Brave key, search falls back to keyless DuckDuckGo automatically. SEC requires a
Name email@domain style User-Agent — veris ships a default, but set your own contact.
Use in Claude Code
Add to your MCP config (.mcp.json):
{
"mcpServers": {
"veris": {
"command": "npx",
"args": ["-y", "veris-mcp"],
"env": { "BRAVE_API_KEY": "optional", "SEC_USER_AGENT": "Your Name you@email.com" }
}
}
}
Restart Claude Code, then ask it to web_research something.
Remote server (HTTP)
Run veris as a remote MCP server (Streamable HTTP) and connect from any MCP client by URL:
npx -y veris-mcp http # http://127.0.0.1:8787/mcp
VERIS_HTTP_HOST=0.0.0.0 npx -y veris-mcp http # expose it (put TLS in front)
| Env | Does |
|---|---|
VERIS_PORT / PORT |
Port (default 8787) |
VERIS_HTTP_HOST |
Bind host (default 127.0.0.1) |
VERIS_API_KEYS |
Comma-separated keys. If set, /mcp requires Authorization: Bearer <key> (or x-api-key). Unset = open. |
VERIS_RATE_LIMIT |
Requests/min/IP (default 60) |
Self-hosting is free, forever. VERIS_API_KEYS exists so a hosted instance can be metered.
Docker
docker build -t veris .
docker run -p 8787:8787 veris
Works as-is on Fly.io / Render / Railway — anything that runs a Dockerfile.
Design notes
- Provenance from raw HTML. We fetch the page ourselves and pull dates/author/canonical from
<meta>, JSON-LD, and Open Graph before readability strips them. - Content hash. sha256 of extracted text — detects whether a page changed and enables dedupe across agents (the basis for a shared web index).
- Provider interface. Swap search backends without touching tool code.
- Cache → ledger. The same keyed store that caches reads today records read events for settlement tomorrow.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。