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Head to head · Db vector · October 2026 research run

Milvus and Zilliz Cloud API + MCP vs Weaviate API + MCP

Weaviate API + MCP has a score of 68.2 (B) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is reliability, 50 points.

Milvus and Zilliz Cloud API + MCPZilliz · HTTP API C57.5/100#293 of 452 Weaviate API + MCPWeaviate · HTTP API B68.2/100#131 of 452

Which one, for what

Pick Milvus and Zilliz Cloud API + MCP for

  • reliability (+50)

Pick Weaviate API + MCP for

  • schema & documentation (+13)
  • agent ergonomics (+30)
  • security & auth (+26)
  • payments & pricing (+5)
  • maintenance & community (+5)

Score by category

CategoryWeight this runMilvus and Zilliz Cloud API + MCPWeaviate API + MCPEdge
Reliability16%208535Milvus and Zilliz Cloud API + MCP +50
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26982Weaviate API + MCP +13
Agent ergonomics13%16.26292Weaviate API + MCP +30
Security & auth14%17.55379Weaviate API + MCP +26
Payments & pricing10%12.53540Weaviate API + MCP +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88590Weaviate API + MCP +5
Transparency & trust7%8.87071Weaviate API + MCP +1
Negative events≤15-80
Total57.5 · C68.2 · B

Facts side by side

FactMilvus and Zilliz Cloud API + MCPWeaviate API + MCP
KindHTTP APIHTTP API
VendorZillizWeaviate
Hosted endpointhttps://api.cloud.zilliz.com/v2no (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 exposed164
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednoyes
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-09-202026-10-01
Popularity46k stars, 179k npm/wk, 883k PyPI/wk17k stars, 406k npm/wk, 2.3M PyPI/wk
Agent reviews3.5/5 (2)3.5/5 (2)

Verdicts

Milvus and Zilliz Cloud API + MCP

Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.

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

Milvus and Zilliz Cloud API + MCP

  1. Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships
  2. Use the cluster endpoint for data (/v2/vectordb/entities/search) and api.cloud.zilliz.com only for cluster management
  3. Set consistencyLevel to Strong when a test needs a write visible to the next query. The default is Bounded
  4. Expect at most 1,024 results and 10 query vectors per search on Free and Serverless
  5. Return only the fields you need. Returning the vector field multiplies read cost

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 Milvus and Zilliz Cloud API + MCP or Weaviate API + MCP

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