Pinecone MCP connector
Pinecone is a vector database platform for similarity search and machine learning applications. The Pinecone MCP connector allows AI agents to create and manage indexes, organize data into collections, and query index statistics. It also supports configuring index settings and describing collection details across your vector database environment.
Authentication type
- API Key - Requires a static API key to be configured before the agent can connect to the service.
Uses
Use the Pinecone MCP connector to perform the following actions:
- Build semantic search capabilities to find similar documents and content instantly
- Store and retrieve vector embeddings from machine learning models at scale
- Organize vector data into collections for different AI applications and use cases
- Power recommendation engines that suggest products based on customer behavior patterns
- Enable natural language search across unstructured data like documents and images
- Manage multiple vector indexes to support production and development environments
- Accelerate similarity matching for fraud detection and anomaly identification workflows
Example prompts
Use the following example prompts to invoke Pinecone MCP connector tools from your AI assistant or Boomi Connect workflow:
Show me all collections we have set up in Pinecone right now.Create a new index in Pinecone for our customer recommendations engine.Delete the old product catalog index from Pinecone and confirm it's gone.Find the top 10 documents most similar to this customer query in Pinecone.Tell me how many vectors are stored in our Pinecone index.Add these new product embeddings to our Pinecone collection.Retrieve the specific vector record for customer ID 12345 from Pinecone.Search Pinecone for documents related to fraud patterns in our transaction data.Remove outdated customer vectors from our Pinecone index.List all active indexes and tell me their current status.
Pinecone MCP connector tools
The Pinecone MCP connector provides the following tools. Each tool maps to a specific action you can invoke from your AI agent or automation.
| Tool | Description |
|---|---|
| list_collections | Retrieves all collections available in the current project. |
| create_collection | Creates a new collection with specified configuration settings. |
| delete_collection | Removes a collection and all its associated data. |
| describe_collection | Retrieves detailed information about a specific collection. |
| DescribeIndexStats | Retrieves statistical information about an index's contents. |
| list_indexes | Retrieves all indexes available in the current project. |
| create_index | Creates a new index with specified dimensions and settings. |
| delete_index | Removes an index and all its stored vectors. |
| describe_index | Retrieves detailed configuration information about a specific index. |
| configure_index | Modifies settings and configuration for an existing index. |
| Query | Searches an index for vectors most similar to a query vector. |
| Delete | Removes vectors from an index by identifier. |
| Fetch | Retrieves vectors and metadata from an index by identifier. |
| Update | Modifies vector values and metadata for existing entries. |
| Upsert | Adds new vectors or updates existing ones in an index. |
