M

MCP Pinecone

The Pinecone MCP Server is a model context protocol server designed for Claude Desktop, providing read and write interaction capabilities with Pinecone indexes.
3 points
139

What is the Pinecone MCP Server?

The Pinecone MCP Server is middleware that supports interaction with Pinecone indexes, allowing users to access Pinecone's features, such as searching, reading, and writing documents, through the MCP protocol. It is specifically designed for Claude Desktop and provides efficient data processing capabilities.

How to Use the Pinecone MCP Server?

You can quickly deploy the server through simple installation steps and use built-in tools to perform operations, such as searching for records, reading documents, and generating embedding vectors.

Applicable Scenarios

Suitable for application scenarios that require large-scale text storage, retrieval, and analysis, such as knowledge base management and content recommendation systems.

Main Features

Semantic SearchSearch for relevant records in the Pinecone index and return high-precision results.
Read DocumentsExtract specific document content from the Pinecone index.
List DocumentsGet a list of all documents in the index.
Index StatisticsView the statistical data of the index, including the number of records, dimensions, and namespaces.
Process DocumentsChunk documents and upload them to the Pinecone index.

Advantages and Limitations

Advantages
Supports large-scale distributed storage
Efficient semantic search capabilities
Easy to integrate with Claude Desktop
Limitations
Requires a Pinecone account and API key
Relies on an external service (Pinecone)

How to Use

Install the Pinecone MCP Server
Use the Smithery tool or uv tool to quickly install the server.
Configure the Server
Edit the client configuration file to connect to the Pinecone service.
Start the Server
Run the server to start processing requests.

Usage Examples

Example 1: Semantic SearchSearch for records related to keywords in the index.
Example 2: Process DocumentsChunk local documents and upload them to the Pinecone index.

Frequently Asked Questions

How to register a Pinecone account?
How to obtain an API key?
Does it support custom embedding models?

Related Resources

Pinecone Official Documentation
Understand the basic functions and APIs of Pinecone.
GitHub Source Code
View the open-source code of the Pinecone MCP Server.
MCP Inspector
A visualization tool for debugging MCP servers.
Installation
Copy the following command to your Client for configuration
"mcpServers": {
  "mcp-pinecone": {
    "command": "uv",
    "args": [
      "--directory",
      "{project_dir}",
      "run",
      "mcp-pinecone"
    ]
  }
}

"mcpServers": {
  "mcp-pinecone": {
    "command": "uvx",
    "args": [
      "--index-name",
      "{your-index-name}",
      "--api-key",
      "{your-secret-api-key}",
      "mcp-pinecone"
    ]
  }
}
Note: Your key is sensitive information, do not share it with anyone.
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
336
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
B
Bing Search MCP
An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.
Python
221
4 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
201
4.3 points
M
Modelcontextprotocol
Certified
This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.
TypeScript
1.1K
5 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
239
4.2 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
371
4 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
877
5 points
Featured MCP Services
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase