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Head to head · Db vector · October 2026 research run

Pinecone API + MCP vs Qdrant API + MCP

Pinecone API + MCP has a score of 76.4 (BB) against Qdrant API + MCP's 75.3 (BB). Both do db vector. The largest gap is payments & pricing, 10 points.

Pinecone API + MCPPinecone · HTTP API BB76.4/100#28 of 452 Qdrant API + MCPQdrant · HTTP API BB75.3/100#37 of 452

Which one, for what

Pick Pinecone API + MCP for

  • schema & documentation (+7)
  • agent ergonomics (+6)
  • payments & pricing (+10)

Pick Qdrant API + MCP for

  • reliability (+5)
  • transparency & trust (+9)

Score by category

CategoryWeight this runPinecone API + MCPQdrant API + MCPEdge
Reliability16%207580Qdrant API + MCP +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29487Pinecone API + MCP +7
Agent ergonomics13%16.29387Pinecone API + MCP +6
Security & auth14%17.57983Qdrant API + MCP +4
Payments & pricing10%12.54030Pinecone API + MCP +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88785Pinecone API + MCP +2
Transparency & trust7%8.87584Qdrant API + MCP +9
Negative events≤15-2-2
Total76.4 · BB75.3 · BB

Facts side by side

FactPinecone API + MCPQdrant API + MCP
KindHTTP APIHTTP API
VendorPineconeQdrant
Hosted endpointhttps://api.pinecone.iohttps://api.cloud.qdrant.io
TransportsHTTP, stdio, Streamable HTTPHTTP, stdio, Streamable HTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
Licenceproprietary (MCP server Apache-2.0)Apache-2.0
Tools exposed92
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 release2026-09-092026-09-16
Popularity71 stars, 928k npm/wk, 970k PyPI/wk35k stars, 1.1M npm/wk, 3M PyPI/wk
Agent reviews3.5/5 (8)3.6/5 (8)

Verdicts

Pinecone API + MCP

OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.

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.

Before you call either

Pinecone API + MCP

  1. Send X-Pinecone-Api-Version: 2026-07 on every call. Without it you get the oldest supported version
  2. Queries go to the index host from describe_index, not to api.pinecone.io
  3. Wait a few seconds and retry when fresh upserts don't show up in search
  4. Back off exponentially on 429. There's no Retry-After header
  5. Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota

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

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

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