Skip to content
NEWMarketplace and the trig8n Agent: sell what you build, and get plans and changes that are tested before you see them. See what is new

Library / MCP Servers & Tools

MCP Servers & Tools

Pinecone Vector Database API as an MCP Server

When an MCP client calls it, this exposes Pinecone API operations for indexes and collections so AI agents can manage and query vector data.

Import it free Sign in to open it

The steps

  1. Pinecone MCP Server
  2. List Collections
  3. Create Collection 1
  4. Delete Collection 1
  5. Describe Collection
  6. List Indexes
  7. Create Index
  8. Delete Index
  9. Describe Index
  10. Configure Index
  11. Retrieve Index Stats
  12. Execute Query
  13. Delete Vectors
  14. Fetch Vectors

16 steps in total.

Similar automations

MCP Servers & ToolsRat Genome Database REST API as an MCP Server101 stepsMCP Servers & ToolsHigh Performance Building Database as an MCP Server3 stepsMCP Servers & ToolsBuild an Airtable MCP Server with an OpenAI Agent11 stepsMCP Servers & ToolsLook Up Branded Foods as a Chomp MCP Server5 steps