原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Quelvio MCP

作者:Quelvio版本 1.1.0i★ –i在云端运行
注册名称com.quelvio/mcp-server

安装

概览

作者提供的说明(英文原文)

Your company's brain for AI agents. Cited, permission-aware knowledge across every system.

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。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.quelvio.com/http

在终端中运行这条命令

claude mcp add --transport http quelvio https://mcp.quelvio.com/http

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": {
    "quelvio": {
      "url": "https://mcp.quelvio.com/http"
    }
  }
}

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": {
    "quelvio": {
      "type": "http",
      "url": "https://mcp.quelvio.com/http"
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.quelvio.com/http

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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

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。

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

    注册名称已通过域名 quelvio.com 验证(注册中心会核实域名所有权)

  • … 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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 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“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7249 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7249 个服务器的 13% 更新
  • 基础检查结果等于或优于此分类中其他 7249 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

Quelvio MCP 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(1.1.0)于6个月前进入注册中心。

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:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

@quelvio/mcp-server

Quelvio MCP server — search your company's connected knowledge from any AI tool that speaks the Model Context Protocol.

Endpoint: https://mcp.quelvio.com/http (Streamable HTTP, MCP spec 2025-03-26) Source: Quelvio/quelvio-mcp-server License: MIT

Tools

ToolPurposeKnowledge Tokens
query_knowledgePrimary search across the tenant's connected sources (Drive, SharePoint, Confluence, Slack, Notion). Modes: fast, standard (default), deep.1,500 kT (fast) / 12,500 kT (standard) / 25,000 kT (deep)
list_domainsDiscovery — list taxonomy domains with coverage levels. Use to decide whether the brain has relevant knowledge before issuing a billable query.0 kT
get_source_detailPer-chunk provenance for a previous query: document path, lifecycle state, embedding timestamp, contributor, last-updated. Pass a query_id from an earlier query_knowledge response.0 kT

Permission model

Every MCP query is scoped to your individual employee identity, not just your tenant. The server applies the same three-layer access model the dashboard uses:

  1. Tenant isolation — Qdrant collections are per-tenant; cross-tenant content is structurally unreachable.
  2. Role-based feature access — Owner / Admin / Member determines which tools are callable.
  3. Source permission filtering — permission_emails on every chunk, resolved at ingest time from the source system's ACLs (Google Drive shares, SharePoint groups, Confluence space restrictions). MCP queries see only what your individual account would see in those source systems.

The source-permission filter is unconditional — there is no flag, env var, or dashboard toggle that disables it. The MCP server records the per-employee identity on every query so cross-employee provenance inspection via get_source_detail is rejected with 404 (only Owner/Admin can view another member's queries).

Sign in

There is no API key to provision. The first time you use Quelvio MCP from any client, you'll be redirected to your organization's sign-in page (Clerk-hosted, the same one the dashboard uses). After signing in, your client resumes automatically. Subsequent queries reuse the OAuth token until it expires (~30 days) or you revoke it from enterprise.quelvio.com.

If your AI assistant prompts you for a "Bearer token" or "API key" header in the JSON config, you have an outdated configuration — delete the headers block and let your client manage OAuth. The migration is automatic: the next time you invoke a tool, the client opens a browser tab for sign-in.

Install

Claude Desktop (and Claude Web)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "quelvio": { "url": "https://mcp.quelvio.com/http" } } }

Restart Claude Desktop. On first use Claude opens a browser tab pointing at Clerk's hosted sign-in page; complete sign-in and Claude resumes automatically.

Cursor

Add to .cursor/mcp.json in your project root (or globally at ~/.cursor/mcp.json):

{

"mcpServers": { "quelvio": { "url": "https://mcp.quelvio.com/http" } } }

Cursor handles the OAuth round-trip the same way Claude does.

Claude Code
claude mcp add quelvio --transport http https://mcp.quelvio.com/http
VS Code (Copilot)

Add to .vscode/mcp.json:

{

"servers": { "quelvio": { "type": "http", "url": "https://mcp.quelvio.com/http" } } }

stdio bridge (older clients)

For MCP clients that don't speak Streamable HTTP yet, install the npm package:

npm install -g @quelvio/mcp-server

Then point your client at the binary:

{

"mcpServers": { "quelvio": { "command": "quelvio-mcp" } } }

The binary opens a local OAuth listener on a random 127.0.0.1 port and proxies all subsequent JSON-RPC to https://mcp.quelvio.com/http.

OAuth flow

The MCP server is an OAuth 2.1 + PKCE (S256) protected resource. Bearer tokens are opaque, KV-backed, and AES-GCM encrypted at rest. RFC 9728 + RFC 8414 discovery is wired:

  • GET /.well-known/oauth-protected-resource — resource metadata
  • GET /.well-known/oauth-authorization-server — authorization server metadata
  • GET /oauth/authorize — 302 to Clerk hosted sign-in (with PKCE state stashed in KV)
  • GET /oauth/callback — Clerk session JWT → POST /v1/auth/sso-bridge mints a per-employee ephemeral key → 302 back to client redirect_uri
  • POST /oauth/token — auth_code or refresh_token grant
  • POST /oauth/revoke — invalidate a token

Modern MCP clients auto-bootstrap the flow when they hit a 401 with the WWW-Authenticate: Bearer ... resource_metadata=... challenge. Cursor and Claude Desktop do this transparently.

v0.8.8 foundation deletion: the legacy paste-an-API-key form path (POST /oauth/authorize with a qlv_ent_* key in the form body) is gone. Customers using paste-key MCP must complete the OAuth/Clerk round-trip on first use; the migration is automatic — the client just opens a browser tab the next time you invoke a tool.

Examples

1. query_knowledge — find an answer with citations
ask Claude: "What's our deployment process for the payments service?"

Claude calls: query_knowledge(query="deployment process payments service")

Response: synthesized answer with [n] citations + structured metadata block including query_id, coverage level, retrieval execution state, latency, and tokens consumed. (Default mode is standard — synthesis is built in. Use mode="deep" for complex analytical questions, mode="fast" for keyword-style retrieval with no synthesis.)

2. list_domains — discover what's indexed before querying
ask Claude: "What taxonomy domains does our company have indexed?"

Claude calls: list_domains()

Response: list of every domain with document count, expert count, coverage level (expert | partial | none), top contributor by authority, and the single_expert risk flag where applicable.

3. get_source_detail — verify a citation
After a query_knowledge call returned [3] citations, ask Claude:

"Show me the actual source for citation [3]."

Claude calls: get_source_detail(query_id=" ")

Response: per-chunk provenance — document path, lifecycle state (live | stale | superseded | user_deleted), embedding timestamp + model, contributor name + department, authority score, taxonomy domain.

Pricing

Knowledge Token consumption per tool call (v0.9 frozen constants):

  • query_knowledge with mode=fast : 1,500 kT (retrieval-only, no synthesis)
  • query_knowledge with mode=standard : 12,500 kT (default; synthesis bundled)
  • query_knowledge with mode=deep : 25,000 kT (wider retrieval + premium synthesis)
  • list_domains : 0 kT
  • get_source_detail : 0 kT

These costs are frozen at the v0.9 Contract Lock. The dashboard's billing page (/billing) shows the live per-tenant daily Knowledge Token pool and the projected next invoice.

Self-hosting / development

cd mcp-server

pnpm install

Local dev

pnpm dev

Deploy to Cloudflare Workers

wrangler secret put TOKEN_ENCRYPTION_KEY # 32 bytes hex (openssl rand -hex 32) wrangler secret put CLERK_SIGN_IN_URL # Clerk hosted sign-in URL pnpm deploy

The Worker is stateless — every OAuth artifact (auth codes, access tokens, refresh tokens) lives in the bound KV namespace. No Durable Objects.

Protocol

  • Transport: Streamable HTTP (MCP spec 2025-03-26)
  • Endpoint: POST /http with Content-Type: application/json
  • Health check: GET / or GET /http returns server info
  • Methods: initialize, tools/list, tools/call, ping
  • Streaming: when tools/call query_knowledge carries Accept: text/event-stream AND mode is standard|deep (the two v0.9 tiers that synthesize), the server proxies the backend's SSE pipeline. fast never streams (no synthesis body to incrementally produce). The MCP response is still a single JSON body — token-by-token streaming to the MCP client lands when the spec adds native output deltas.
  • Response cap: Claude Connectors' 25,000-token-per-tool-result limit is enforced server-side. Truncation order: drop excerpts past 200 chars first, then drop lowest-rank sources (preserving ≥3), then truncate the synthesis body. Truncation is signalled via truncated: true in the structured metadata block so agents can re-issue with a smaller max_sources.

Release process

Publishes go through .github/workflows/publish.yml via npm Trusted Publishing (OIDC). No long-lived NPM_TOKEN lives in this repo or in GitHub Actions secrets.

To ship a new version:

# 1. Bump version + commit

npm version patch # or minor / major git push origin main

2. Push the matching tag — this triggers the publish workflow

git push origin v$(node -p "require('./package.json').version")

The workflow verifies the tag matches package.json, type-checks, builds, and runs npm publish --provenance --access public. SLSA provenance is attached to every release.

One-time bootstrap on npmjs.com (operator step):

  • Package: @quelvio/mcp-server → Settings → Trusted Publishers → Add
  • Repository owner: Quelvio
  • Repository name: quelvio-mcp-server
  • Workflow filename: publish.yml

Changelog

See CHANGELOG.md.

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