Pinecone Assistant MCP Server (Official)

Official Pinecone MCP server providing AI agents with access to Pinecone's vector database and Pinecone Assistant — enabling semantic search, RAG pipelines, and vector index management from agent workflows.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Other pinecone vector-database rag embeddings mcp-server official semantic-search ai
⚙ Agent Friendliness
83
/ 100
Can an agent use this?
🔒 Security
77
/ 100
Is it safe for agents?
⚡ Reliability
84
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
80
Documentation
88
Error Messages
80
Auth Simplicity
90
Rate Limits
78

🔒 Security

TLS Enforcement
100
Auth Strength
72
Scope Granularity
50
Dep. Hygiene
85
Secret Handling
82

HTTPS enforced. No scope granularity on API key is a significant gap for multi-agent deployments. Project isolation mitigates somewhat. SOC 2 Type II.

⚡ Reliability

Uptime/SLA
90
Version Stability
85
Breaking Changes
82
Error Recovery
80
AF Security Reliability

Best When

An agent needs to perform semantic similarity search or RAG retrieval over a Pinecone vector index, or upload/query documents in Pinecone Assistant.

Avoid When

You're using a different vector DB (Weaviate, Qdrant, Chroma) — use those providers' MCP servers instead.

Use Cases

  • Semantic search over vector embeddings from agent workflows
  • RAG (Retrieval Augmented Generation) pipeline integration with Pinecone indexes
  • Uploading and managing documents in Pinecone Assistant
  • Querying existing vector indexes for contextual knowledge retrieval
  • Managing Pinecone indexes, collections, and namespaces from agents

Not For

  • Traditional SQL/structured data queries
  • Non-vector search use cases
  • Teams not using Pinecone (use Weaviate or Qdrant MCP instead)

Interface

REST API
Yes
GraphQL
No
gRPC
Yes
MCP Server
Yes
SDK
Yes
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

Single API key via PINECONE_API_KEY. No scope granularity — key grants full project access. Project-level isolation is the access boundary.

Pricing

Model: usage-based
Free tier: Yes
Requires CC: No

Serverless pricing is consumption-based. Free tier suitable for development and small RAG applications.

Agent Metadata

Pagination
cursor
Idempotent
Full
Retry Guidance
Documented

Known Gotchas

  • Index dimensions must match embedding model — mismatch causes silent failures
  • Namespace isolation important — agents querying wrong namespace get empty results
  • Vector upserts are eventually consistent — query immediately after upsert may miss new vectors
  • Free tier index goes idle — first query after idle period has cold start latency
  • API key has no scope granularity — leaked key grants full project access
  • Pinecone Assistant (document Q&A) is separate from vector index API — different endpoints

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Pinecone Assistant MCP Server (Official).

$99

Scores are editorial opinions as of 2026-03-06.

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