Integration

Pinecone integration

Vector database API for AI applications. Store, query, and manage vector embeddings at scale. Build semantic search, recommendation systems, and RAG applications with low-latency vector similarity search.

Connect Pinecone How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Pinecone.Built from the 22 Pinecone tools below, on the connection you add once.

Common Pinecone use cases

Cleanup
Status check
Resource management
Cost optimization
Data management
Scaling
Monitoring
Data cleanup
Index backup
RAG pipeline

What you can do with Pinecone

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Vector, 6 operations

delete_vectorsDelete vectorsPOSTDeletes vectors from the index.
fetch_vectorsFetch vectorsGETFetches vectors by their IDs.
list_vector_idsList vector idsGETLists vector IDs in a namespace.
query_vectorsQuery vectorsPOSTQueries the index for similar vectors.
update_vectorUpdate vectorPOSTUpdates a vector's values or metadata.
upsert_vectorsUpsert vectorsPOSTUpserts vectors into the index.

Index, 5 operations

configure_indexConfigure indexPATCHConfigures an existing index.
create_indexCreate indexPOSTCreates a new vector index.
delete_indexDelete indexDELETEDeletes an index permanently.
describe_indexDescribe indexGETRetrieves details for a specific index.
list_indexesList indexesGETLists all vector indexes in the project.

Collection, 4 operations

create_collectionCreate collectionPOSTCreates a new collection from an index.
delete_collectionDelete collectionDELETEDeletes a collection permanently.
describe_collectionDescribe collectionGETRetrieves details for a collection.
list_collectionsList collectionsGETLists all collections in the project.

Import, 4 operations

cancel_importCancel importDELETECancels a bulk import operation.
describe_importDescribe importGETRetrieves the status of a bulk import operation.
list_importsList importsGETLists all bulk import operations.
start_importStart importPOSTStarts a bulk import of vectors from object storage.

Document, 1 operation

rerank_documentsRerank documentsPOSTReranks documents by relevance to a query.

Embedding, 1 operation

generate_embeddingsGenerate embeddingsPOSTGenerates vector embeddings from text using hosted models.

Index stat, 1 operation

describe_index_statsDescribe index statsPOSTRetrieves statistics for the index.

Use Pinecone from Claude Code, Cursor or Codex

Connect Pinecone in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Pinecone operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Pinecone

Create your workspace
Sign up free. Nothing to install.
Connect Pinecone once
Add your Pinecone connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Pinecone integration FAQ

What can you do with the Pinecone integration?

LiveContext exposes 22 operations on Pinecone, covering vector, index, collection and import. Common uses include Cleanup, Status check and Resource management.