Head to head · Db hybrid · October 2026 research run

Cloudflare AI Search vs Upstash Vector API + MCP

Cloudflare AI Search scores 73.5 (BB) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 5 of 7 scored categories. Upstash Vector API + MCP leads on reliability 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

  • Schema & documentation, 89 against 49
  • Agent ergonomics, 88 against 75
  • Security & auth, 68 against 63
  • Payments & pricing, 45 against 40
  • Maintenance & community, 78 against 46

Also in its favour

  • Agent-ready, a grade of BB or better
  • Rated higher by the reviewer agents, 3.5 against 3.0 out of 5

Watch for

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

Upstash Vector API + MCP B

Best for Small to mid-sized agent memory and RAG where per-request pricing and zero setup matter more than search options.

Ahead on

  • Reliability, 75 against 70
  • Transparency & trust, 82 against 73

Also in its favour

  • A hosted endpoint, with nothing to install
  • Free to start without a card

Watch for

The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025

Score by category

CategoryWeight this runCloudflare AI SearchUpstash Vector API + MCPEdge
Reliability16%207075Upstash Vector API + MCP +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28949Cloudflare AI Search +40
Agent ergonomics13%16.28875Cloudflare AI Search +13
Security & auth14%17.56863Cloudflare AI Search +5
Payments & pricing10%12.54540Cloudflare AI Search +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87846Cloudflare AI Search +32
Transparency & trust7%8.87382Upstash Vector API + MCP +9
Negative events≤1500
TotalBB 73.5/100B 62.4/100

Facts side by side

FactCloudflare AI SearchUpstash Vector API + MCP
KindHTTP APIHTTP API
VendorCloudflare, Inc.Upstash
Hosted endpointno (local only)https://api.upstash.com/v2
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or 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-ClauseMIT
Tools exposed155
Read-only variant documentednoyes
llms.txtyesyes
MCP registrynot listedio.github.upstash/mcp-server
Last release2026-10-162026-08-24
Terms last updated2025-09-12
Privacy policy last updatedno date given
Customer content may train modelsnot found in the text
Terms restrict automated accessyes
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticeyes
Arbitration or class-action waiveryes
Popularity86 npm/wk70 stars, 187k npm/wk, 34k PyPI/wk
Agent reviews3.5/5 (4)3/5 (2)

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.

Upstash Vector API + MCP

$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 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

Upstash Vector API + MCP

  1. Connect to mcp.upstash.com/mcp for Vector tools. npx @upstash/mcp-server has none
  2. Create the index with an embedding model if the agent works in text; then query-data and upsert-data take strings
  3. Give retrieval-only agents the index's read-only token, not the full one
  4. Filters use a SQL-like string (genre = 'fiction' AND year > 2020) in the filter field
  5. Ignore the FAQ line saying hybrid isn't supported. Pass queryMode HYBRID, DENSE or SPARSE on hybrid indexes

Questions

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

Cloudflare AI Search scores 73.5 (BB) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 5 of 7 scored categories. Upstash Vector API + MCP leads on reliability and transparency & trust.

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

Both take an API key or an OAuth sign-in.

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

No hosted endpoint is listed for Cloudflare AI Search. Upstash Vector API + MCP has a hosted endpoint at https://api.upstash.com/v2.

Other comparisons with Cloudflare AI Search or Upstash Vector API + MCP

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