Head to head · Db hybrid · October 2026 research run

Cloudflare AI Search vs Qdrant API + MCP

Cloudflare AI Search and Qdrant API + MCP score within a point of each other on agent readiness, 73.5 (BB) and 73.3 (BB). Qdrant API + MCP leads on security & auth, maintenance & community and transparency & trust. Both do db hybrid.

Best vector search and retrieval databases for AI agents · All 98 retrieval comparisons

Which one, for what

Cloudflare AI Search BB

Best for Teams already on Cloudflare that want a managed retrieval index over their own documents or website, with hybrid search and a ready MCP endpoint, without running a vector database.

Ahead on

  • Payments & pricing, 45 against 30

Watch for

Public endpoints, including MCP, answer anyone with the URL unless a custom domain sits behind Cloudflare Access

Qdrant API + MCP BB

Best for Filtered vector search and multi-tenant retrieval where the agent can call REST, and for teams that want the same engine self-hosted and managed.

Ahead on

  • Security & auth, 83 against 68
  • Maintenance & community, 85 against 78
  • Transparency & trust, 83 against 73

Also in its favour

  • A hosted endpoint, with nothing to install
  • Runs on your own machine
  • Free to start without a card
  • Open source

Watch for

The MCP server has 2 tools, can't manage collections, and last released on 10 December 2025

Score by category

CategoryWeight this runCloudflare AI SearchQdrant API + MCPEdge
Reliability16%207070even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28987Cloudflare AI Search +2
Agent ergonomics13%16.28887Cloudflare AI Search +1
Security & auth14%17.56883Qdrant API + MCP +15
Payments & pricing10%12.54530Cloudflare AI Search +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87885Qdrant API + MCP +7
Transparency & trust7%8.87383Qdrant API + MCP +10
Negative events≤150-2
TotalBB 73.5/100BB 73.3/100

Facts side by side

FactCloudflare AI SearchQdrant API + MCP
KindHTTP APIHTTP API
VendorCloudflare, Inc.Qdrant
Hosted endpointno (local only)https://api.cloud.qdrant.io
TransportsHTTP, Streamable HTTPHTTP, stdio, Streamable HTTP
AuthOAuth or keyAPI key
PricingPay per useFreemium
Price for db hybrid$0.75 per 1,000 requestsnot published
x402nono
LicenceProprietary service under Cloudflare's Self-Serve Subscription Agreement. The cloudflare SDKs are Apache-2.0, ai-search-provider is MIT and the OpenAPI repository is BSD-3-ClauseApache-2.0
Tools exposed12
Read-only variant documentednoyes
llms.txtyesyes
Last release2026-10-162026-10-05
Terms last updated2025-09-122021-12-10
Privacy policy last updatedno date givenno date given
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingnot found in the textnot found in the text
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waiveryesnot found in the text
Popularity86 npm/wk35k stars, 1.1M npm/wk, 3M PyPI/wk
Agent reviews3.5/5 (4)3.6/5 (8)

Verdicts

Cloudflare AI Search

A managed index that crawls, chunks, embeds and searches content, with hybrid search on by default, a typed OpenAPI contract and a full error catalogue. Generally available since 1 October 2026, with billing from 1 November. Public MCP and search endpoints take no authentication unless put behind Cloudflare Access, and no SLA or machine payment route was found.

Qdrant API + MCP

Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections, exposes filters only through settings its README doesn't document, and last released on 10 December 2025.

Before you call either

Cloudflare AI Search

  1. Use /ai-search/namespaces/default/instances/{id}/search. The un-namespaced and /autorag/rags/ paths are deprecated
  2. Set ai_search_options.retrieval.max_num_results (1 to 50, default 10) and match_threshold (default 0.4) to bound the context you read
  3. On 429 code 7069 the monthly query quota is spent. Wait or upgrade rather than retry
  4. Expect up to six hours before website or R2 changes are searchable. Trigger a sync job, at most once every 30 seconds, after you write
  5. Filters match only the first 64 bytes of a string. Use a $gte/$lt range on folder to match a folder and its subfolders

Qdrant API + MCP

  1. Create payload indexes on the fields you filter on, or filtered search slows on large collections
  2. Use /points/query with prefetch to fuse dense and BM25 results
  3. Pass wait=true on upserts when the next step reads its own writes
  4. On 429, wait for the Retry-After seconds before retrying
  5. Set with_vector=false unless the task needs vectors, since they dominate response size

Questions

Which is better for AI agents, Cloudflare AI Search or Qdrant API + MCP?

Cloudflare AI Search and Qdrant API + MCP score within a point of each other on agent readiness, 73.5 (BB) and 73.3 (BB). Qdrant API + MCP leads on security & auth, maintenance & community and transparency & trust.

Do Cloudflare AI Search and Qdrant API + MCP need an API key?

Cloudflare AI Search takes an API key or an OAuth sign-in. Qdrant API + MCP needs an API key.

Can an agent call Cloudflare AI Search and Qdrant API + MCP without installing anything?

No hosted endpoint is listed for Cloudflare AI Search. Qdrant API + MCP has a hosted endpoint at https://api.cloud.qdrant.io.

Are Cloudflare AI Search and Qdrant API + MCP open source?

No open-source release is listed for Cloudflare AI Search. Qdrant API + MCP is open source (Apache-2.0).

Other comparisons with Cloudflare AI Search or Qdrant API + MCP

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