Supavec
Official MCP server implementation of Supavec, used to obtain relevant content from Supavec.
2.5 points
6.4K

What is the Supavec MCP Server?

The Supavec MCP Server is a tool that supports the Model Context Protocol (MCP) and is used to obtain relevant embeddings and content from the Supavec platform. It can help users interact with AI models more efficiently and provide powerful context support.

How to use the Supavec MCP Server?

By installing and configuring the Supavec MCP Server, users can easily integrate it into existing AI tools, such as Claude for Desktop. You can start using it in just a few steps.

Applicable scenarios

Suitable for developers and enterprise users who need powerful context support, especially in the fields of natural language processing, data analysis, and knowledge management.

Main features

Embedding and content extraction
Supports obtaining relevant embeddings and content from the Supavec platform to improve model performance.
MCP protocol support
Fully compatible with the Model Context Protocol (MCP) to ensure stability and flexibility.
Advantages
Supports efficient context transfer
Easy to integrate into existing systems
Powerful API interfaces to meet diverse needs
Limitations
Requires a valid Supavec API key
Some advanced features may require additional configuration

How to use

Install dependencies
First, make sure you have installed the Node.js environment, and then run the following command to install dependencies:
Build the project
Build the project to generate an executable file:
Configure the API key
Set your Supavec API key before running.

Usage examples

Integrate with Claude for Desktop
Add the Supavec MCP Server to the Claude for Desktop configuration to enhance the model's context ability.
Run independently
Run the Supavec MCP Server directly for custom projects.

Frequently Asked Questions

How to obtain a Supavec API key?
Does the Supavec MCP Server support multiple languages?
How to uninstall the Supavec MCP Server?

Related resources

Supavec official documentation
Complete documentation for the Supavec platform.
Model Context Protocol (MCP) official website
Learn more about the MCP protocol.
GitHub repository
Open-source code repository for the Supavec MCP Server.

Installation

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

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
14.9K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.1K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.7K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.6K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
7.7K
4 points
P
Paperbanana
Python
8.7K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.4K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.6K
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
23.3K
4.5 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
38.5K
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
26.7K
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
80.4K
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#
36.8K
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
69.9K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.6K
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
55.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase