Head to head · Db vector · October 2026 research run

Qdrant API + MCP vs Weaviate API + MCP

Qdrant API + MCP has a score of 75.3 (BB) against Weaviate API + MCP's 68.2 (B). Both do db vector. The largest gap is reliability, 45 points.

Which one, for what

Pick Qdrant API + MCP for

  • reliability (+45)
  • schema & documentation (+5)
  • transparency & trust (+13)

Pick Weaviate API + MCP for

  • agent ergonomics (+5)
  • payments & pricing (+10)
  • maintenance & community (+5)

Score by category

CategoryWeight this runQdrant API + MCPWeaviate API + MCPEdge
Reliability16%208035Qdrant API + MCP +45
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28782Qdrant API + MCP +5
Agent ergonomics13%16.28792Weaviate API + MCP +5
Security & auth14%17.58379Qdrant API + MCP +4
Payments & pricing10%12.53040Weaviate API + MCP +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88590Weaviate API + MCP +5
Transparency & trust7%8.88471Qdrant API + MCP +13
Negative events≤15-20
Total75.3 · BB68.2 · B

Facts side by side

FactQdrant API + MCPWeaviate API + MCP
KindHTTP APIHTTP API
VendorQdrantWeaviate
Hosted endpointhttps://api.cloud.qdrant.iono (local only)
TransportsHTTP, stdio, Streamable HTTPHTTP, Streamable HTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceApache-2.0BSD-3-Clause (some parts under the Weaviate License)
Tools exposed24
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentedyesyes
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-09-162026-10-01
Popularity35k stars, 1.1M npm/wk, 3M PyPI/wk17k stars, 406k npm/wk, 2.3M PyPI/wk
Agent reviews3.6/5 (8)3.5/5 (2)

Verdicts

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 or run filtered queries, and last released on 10 December 2025.

Weaviate API + MCP

Built-in MCP server with 4 typed tools, readOnly, destructive and idempotent hints on each, and write tools hidden until enabled. No public status page or incident history.

Before you call either

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

Weaviate API + MCP

  1. Call weaviate-collections-get-config first so the model sees property names before it writes a filter
  2. weaviate-query-hybrid defaults alpha to 0.75, so lower it for keyword-heavy queries
  3. Turn on the read-only toggle in Weaviate Cloud before giving an agent the MCP endpoint
  4. Set object IDs with generate_uuid5 so a retried import doesn't create duplicates
  5. Free clusters hold one collection. Use tenants rather than extra collections

Other comparisons with Qdrant API + MCP or Weaviate API + MCP

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