Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.quelvio.com/http터미널에서 이 명령어를 실행하세요
claude mcp add --transport http quelvio https://mcp.quelvio.com/http프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"quelvio": {
"url": "https://mcp.quelvio.com/http"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"quelvio": {
"type": "http",
"url": "https://mcp.quelvio.com/http"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.quelvio.com/http메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 quelvio.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.1.0)은 6개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
| Tool | Purpose | Knowledge Tokens |
|---|---|---|
query_knowledge | Primary 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_domains | Discovery — list taxonomy domains with coverage levels. Use to decide whether the brain has relevant knowledge before issuing a billable query. | 0 kT |
get_source_detail | Per-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 |
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:
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).
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.
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.
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 mcp add quelvio --transport http https://mcp.quelvio.com/http
Add to .vscode/mcp.json:
{
"servers": { "quelvio": { "type": "http", "url": "https://mcp.quelvio.com/http" } } }
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.
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 metadataGET /.well-known/oauth-authorization-server — authorization server metadataGET /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_uriPOST /oauth/token — auth_code or refresh_token grantPOST /oauth/revoke — invalidate a tokenModern 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.
query_knowledge — find an answer with citationsask 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.)
list_domains — discover what's indexed before queryingask 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.
get_source_detail — verify a citationAfter 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.
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 kTget_source_detail : 0 kTThese 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.
cd mcp-server
pnpm install
pnpm dev
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.
POST /http with Content-Type: application/jsonGET / or GET /http returns server infoinitialize, tools/list, tools/call, pingtools/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.truncated: true in the structured metadata block so agents can re-issue with a smaller max_sources.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
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):
@quelvio/mcp-server → Settings → Trusted Publishers → AddQuelvioquelvio-mcp-serverpublish.ymlSee CHANGELOG.md.