TL;DR
Pinecone is a Databases MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent vector database for AI embeddings. Install in 1 minute with mcpizy install pinecone.
Pinecone
Install verified 5 toolsDatabases
Vector database for AI embeddings
Official homepageInstall Pinecone
mcpizy install pineconenpx -y pinecone-mcpTools exposed
5 tools availablelist_indexesList all Pinecone indexes
list_indexesList all Pinecone indexes
create_indexCreate a new index
create_indexCreate a new index
Inputs
namestringrequireddimensionnumberrequiredmetricstringoptional
upsert_vectorsInsert or update vectors into an index
upsert_vectorsInsert or update vectors into an index
Inputs
index_namestringrequiredvectorsobject[]required
query_vectorsQuery nearest vectors to an input
query_vectorsQuery nearest vectors to an input
Inputs
index_namestringrequiredvectornumber[]requiredtop_knumberoptional
delete_vectorsDelete vectors by ID
delete_vectorsDelete vectors by ID
Inputs
index_namestringrequiredidsstring[]required
Configuration
Works identically across clients. Only the config file path differs.
Claude Code~/.claude.json
~/.claude.json{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "..."
}
}
}
}Cursor.cursor/mcp.json
.cursor/mcp.json{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "..."
}
}
}
}Windsurf~/.codeium/windsurf/mcp_config.json
~/.codeium/windsurf/mcp_config.json{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "..."
}
}
}
}Authentication setup
- 1
Copy your API key from the Pinecone console
Get itPINECONE_API_KEY
What you can do with Pinecone MCP
Paste any of these prompts into Claude Code, Cursor or another MCP-compatible client.
“List every index I have and their dimension”
Uses: list_indexes
“Create a 1536-dim index named 'docs' for OpenAI embeddings”
Uses: create_index
“Find the 5 most similar vectors to this embedding in my 'docs' index”
Uses: query_vectors
Works with
More Databases MCPs
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Frequently asked questions
What is the Pinecone MCP server?
Pinecone is listed as an Databases Model Context Protocol server whose documented purpose is to let an MCP-compatible agent vector database for AI embeddings. Client support, permissions and authentication remain specific to the upstream project.
How do I install Pinecone MCP with Claude Code?
The fastest way is the MCPizy CLI: run `mcpizy install pinecone` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y pinecone-mcp` and restarting Claude Code.
Does MCPizy charge to view or install Pinecone MCP?
No. Reading this profile and copying its install guidance is free. Upstream software, API, account or usage costs are separate, and licence coverage should be checked from the linked source when available.
Does Pinecone MCP work with Cursor and Windsurf?
The MCP standard is supported by those clients, but a specific server can still have client-specific setup or transport limits. Use the configuration shown on this page when present and verify the upstream instructions before installation.
What can I do with Pinecone MCP?
Its documented purpose is to let an MCP-compatible agent vector database for AI embeddings. The exact tools, permissions and write capabilities depend on the server version and configuration shown by the upstream project.
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