Vectorize
The Vectorize MCP Server is a model context protocol server integrating the Vectorize service, providing functions such as vector retrieval, text extraction, and in - depth research.
2.5 points
6.2K

What is the Vectorize MCP Server?

The Vectorize MCP Server is a powerful tool integrating the Vectorize platform, used to implement functions such as vector retrieval, text extraction, and in - depth research. It can help you quickly search for relevant documents, extract important content from documents, and generate detailed analysis reports.

How to use the Vectorize MCP Server?

Through simple configuration and command - line operations, you can easily start the Vectorize MCP Server and begin to use its various functions, such as vector retrieval, text extraction, and in - depth research.

Applicable scenarios

Suitable for enterprises or individuals who need to efficiently process large amounts of text data, such as enterprise knowledge management, legal document analysis, and market research report generation.

Main functions

Vector retrieval
Retrieve the most relevant records from a large number of documents based on the input question.
Text extraction
Extract text from PDF or other format files and convert it to Markdown format.
In - depth research
Generate professional research reports based on your dataset and even further enrich the content by combining web searches.
Advantages
Efficient vector retrieval algorithm to quickly locate relevant information.
Support text extraction from multiple file types for subsequent analysis.
Highly customizable in - depth research function to meet complex requirements.
Limitations
Processing large files may take a long time.
Some advanced functions may require an additional paid subscription.

How to use

Install the Vectorize MCP Server
Quickly install and start the server using the npx command.
Configure environment variables
Set the necessary environment variables, including the organization ID, token, and pipeline ID.
Test the functions
Try to execute some simple queries to verify whether the server is working properly.

Usage examples

Example 1: Vector retrieval
Query documents related to the company's financial status.
Example 2: Text extraction
Extract the content of a PDF file into Markdown format.
Example 3: In - depth research
Generate a detailed report on the company's financial status.

Frequently Asked Questions

How to install the Vectorize MCP Server?
What file types does the Vectorize MCP Server support?
How to ensure the security of my data?

Related resources

Official documentation
Complete documentation for the Vectorize platform.
GitHub repository
Open - source code repository for the Vectorize MCP Server.
Vectorize official website
Official website of the Vectorize platform.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
7.3K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
5.1K
5 points
M
Maverick MCP
MaverickMCP is a personal stock analysis server based on FastMCP 2.0, providing professional level financial data analysis, technical indicator calculation, and investment portfolio optimization tools for MCP clients such as Claude Desktop. It comes pre-set with 520 S&P 500 stock data, supports multiple technical analysis strategies and parallel processing, and can run locally without complex authentication.
Python
10.2K
4 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
17.1K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
13.0K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
10.4K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
15.9K
4 points
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
30.3K
5 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
18.1K
4.5 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
22.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.7K
4.3 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#
27.1K
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
59.1K
4.5 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
41.6K
4.8 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
85.2K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase