Leina 
Wanta 
Inspect an index
Describe an index and read its statistics using its host.
/oo Pinecone: Describe Pinecone index [index name], then use its host to retrieve namespace statistics.
Connect Pinecone to Your AI Agent
Ask your AI assistant to work with Pinecone: inspect Vector Indexes and Query Similarity Matches.
12 tools API key
Try a Pinecone Task
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
oo Skill Pinecone
Query similar vectors
Search a namespace using an explicit vector and topK.
/oo Pinecone: Query Pinecone host [index host], namespace [namespace], with vector [numeric vector] and topK [number]. Include metadata and summarize returned matches.
Start Working with Pinecone
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Install OOMOL
Set up oo CLI and the oo Skill in your agent.
Install OOMOL → -
Connect Pinecone
Connect using your Pinecone API Key.
Connect Pinecone → -
Give Your Agent a Task
Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →
Choose Your Agent
- An account with access to the Pinecone resources used in your task.
Pinecone Tools
Pinecone operations let an AI assistant inspect indexes, store vectors, and query returned similarity matches in a namespace.
Inspect an index
Describe an index and read its statistics using its host.
Query similar vectors
Search a namespace using an explicit vector and topK.
12 tools
List Indexes
List Pinecone indexes in the authenticated project.
pinecone.list_indexes Describe Index
Describe one Pinecone index by name.
pinecone.describe_index Create Index
Create a Pinecone serverless index.
pinecone.create_index Configure Index
Configure an existing Pinecone index.
pinecone.configure_index Delete Index
Delete one Pinecone index by name.
pinecone.delete_index Get Index Stats
Get statistics for a Pinecone index.
pinecone.get_index_stats Upsert Vectors
Upsert dense or sparse vectors into a Pinecone index namespace.
pinecone.upsert_vectors Query Vectors
Search a Pinecone index namespace with a query vector.
pinecone.query_vectors Fetch Vectors
Fetch Pinecone vectors by ID from one namespace.
pinecone.fetch_vectors List Vector Ids
List vector IDs in a Pinecone serverless index namespace.
pinecone.list_vector_ids Delete Vectors
Delete vectors from a Pinecone index namespace by IDs, filter, or deleteAll.
pinecone.delete_vectors Update Vector
Update one Pinecone vector or metadata-matched records in a namespace.
pinecone.update_vector No matching tools.
Frequently Asked Questions
Does query_vectors embed a text question?
This action searches using a vector or supported vector ID; text embedding must be produced separately.
Can I store sparse vectors?
upsert_vectors supports dense or sparse vectors in an index namespace.
Can delete_vectors clear a namespace?
It supports IDs, filter, or deleteAll. State the intended deletion scope explicitly.