Tavily Server
T

Tavily Server

An MCP server based on TypeScript that implements a simple note system, including note resource management, creation tools, and summary prompt functions.
2 points
8.1K

What is the Tavily MCP Server?

The Tavily MCP Server is a server based on the Model Context Protocol (MCP) that implements a simple note system. It allows users to create and store text notes and access these notes via special URIs. The server also provides a function to automatically summarize the content of notes.

How to use the Tavily MCP Server?

You can use this service through clients that support the MCP protocol, such as Claude Desktop. The server provides two main functions: creating notes and summarizing notes. All operations are completed through simple commands.

Use cases

Suitable for scenarios that require quick recording and organization of text information, such as meeting minutes, study notes, and inspiration collection. The automatic summarization function is especially suitable for users who need to extract key information from a large number of notes.

Main features

Note resources
Access stored notes via the note:// URI. Each note contains a title, content, and metadata.
Create a note
Use the create_note tool to create a new text note. You need to provide a title and content.
Summarize notes
Use the summarize_notes prompt to generate a structured summary of all stored notes.
Advantages
A simple and easy-to-use text note system
Access note resources via standard URIs
Seamless integration with MCP-compatible clients
The automatic summarization function saves time
Limitations
Currently only supports plain text format
The functions are relatively basic, lacking advanced note features
Debugging requires additional tools (MCP Inspector)

How to use

Install the server
Ensure that the Node.js environment is installed, then clone or download the server code.
Build the server
Compile the TypeScript code into executable JavaScript.
Configure the client
Add the server path to the Claude Desktop configuration file.
Start the server
The server will communicate with the client through standard input and output.

Usage examples

Meeting minutes
Quickly record meeting content and automatically generate a summary
Summary of study notes
Extract key concepts from multiple study notes

Frequently Asked Questions

How to access created notes?
Where are the notes stored?
How to debug server issues?

Related resources

Official documentation of the Model Context Protocol
Official documentation for the MCP protocol
MCP Inspector tool
A visualization tool for debugging MCP servers
TypeScript getting started guide
Learn the TypeScript programming language

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "tavily-server": {
      "command": "/path/to/tavily-server/build/index.js"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

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 Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
12.6K
4.3 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
13.2K
4 points
M
MCP Notion Server
Certified
The Notion MCP Server is a middleware service that connects the Notion API with the LLM, optimizing interaction efficiency through Markdown conversion.
TypeScript
14.0K
5 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
13.9K
5 points
M
MCP Atlassian
MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.
Python
13.2K
5 points
M
MCP Logseq Server
An MCP server for interacting with the LogSeq note-taking app, providing various API tools to operate on note content.
Python
14.9K
4.1 points
S
Solana Docs MCP Server
A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions
TypeScript
11.2K
4.2 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
16.6K
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
14.8K
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
23.6K
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
45.0K
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#
19.2K
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
44.5K
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
30.3K
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
62.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase