Skip to main content
Feedback

Pinecone MCP connector

Updated 

Pinecone is a vector database platform for powering similarity search and machine learning applications at scale. The Pinecone MCP connector allows AI agents to create, configure, and delete collections and indexes used for storing vector embeddings. It also supports retrieving index statistics and metadata, giving agents visibility into the structure and performance of their 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:

  • Search large datasets instantly using semantic similarity instead of keyword matching
  • Power AI chatbots with accurate, context-aware responses from custom knowledge bases
  • Detect duplicate or related records across millions of data points in seconds
  • Build recommendation engines that surface relevant products, content, or documents
  • Organize vector data into indexes and collections for scalable retrieval
  • Monitor index health and usage with real-time statistics
  • Automate data pipelines that keep vector embeddings continuously updated
  • Retrieve or remove specific vectors to maintain data accuracy and compliance

Example prompts

Use the following example prompts to invoke Pinecone MCP connector tools from your AI assistant or Boomi Connect workflow:

  • Find the five most similar product descriptions to this customer query in Pinecone.
  • Create a new Pinecone index for our customer support knowledge base.
  • Show me the current statistics for our main Pinecone index.
  • List all the collections we have stored in Pinecone.
  • Delete the outdated vectors from our Pinecone product catalog index.
  • Upsert the latest document embeddings into our Pinecone index.
  • Fetch the vector data for customer ID 4521 from Pinecone.
  • Set up a backup collection from our live Pinecone index.
  • Check whether our Pinecone index configuration matches production requirements.
  • Search Pinecone for content related to refund policies.

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.

ToolDescription
list_collectionsList collections
create_collectionCreate collection
delete_collectionDelete Collection
describe_collectionDescribe collection
DescribeIndexStatsDescribe Index Stats
list_indexesList indexes
create_indexCreate index
delete_indexDelete Index
describe_indexDescribe index
configure_indexConfigure index
QueryQuery
DeleteDelete
FetchFetch
UpdateFetch
UpsertUpsert
On this Page