F

Fess MCP Server

Fess MCP Server is a middleware server used to integrate with the Fess search engine. By configuring MCP clients (such as Claude for Desktop), agents can use Fess to obtain information.
2.5 points
26

What is Fess MCP Server?

Fess MCP Server is a middleware that connects the Fess search engine and MCP clients. It allows AI assistants like Claude for Desktop to obtain external information through Fess. Fess is an open - source full - text search engine that provides powerful search capabilities.

How to use Fess MCP Server?

Simply set up the Fess server, then start the Fess MCP Server and configure your MCP client to connect. The server runs on port 8000 by default.

Use cases

It is particularly useful when you need to allow AI assistants to access enterprise internal documents or specific website content. It is suitable for scenarios such as knowledge base queries and document searches.

Main features

Fess integrationSeamlessly connect to the Fess search engine to provide powerful full - text retrieval capabilities
MCP protocol supportCompatible with the Model Context Protocol and can be used with various MCP clients
Multiple deployment methodsSupports Docker containerized deployment and traditional Python environment deployment

Advantages and limitations

Advantages
Open - source and free, based on the Apache License
Commercial support is available
Flexible deployment, supporting Docker and native Python
Deep integration with the Fess search engine
Limitations
The Fess server needs to be deployed first
Configuration requires certain technical knowledge
Currently, it mainly supports specific clients such as Claude for Desktop

How to use

Set up the Fess server
First, you need to install and configure the Fess search engine. Refer to the official documentation to complete the basic settings.
Start the Fess MCP Server
You can choose to start the server using Docker or a native Python environment.
Configure the MCP client
Add the connection information of the Fess MCP Server to the client configuration file.

Usage examples

Enterprise internal document searchIndex company internal documents into Fess and quickly query information such as policies and processes through an AI assistant.
Technical knowledge base queryIndex technical documents and API references to help developers quickly find solutions.

Frequently Asked Questions

What is the difference between Fess MCP Server and Fess?
Is a commercial license required?
Which MCP clients are supported?

Related resources

Fess official website
The official website of the Fess search engine
Fess installation guide
The installation and configuration guide for the Fess server
GitHub repository
The source code repository of Fess
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "fess-search-sse": {
        "command": "npx",
        "args": [
          "-y",
          "mcp-remote",
          "http://localhost:8000/sse"
        ]
      }
  }
}
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