MCP Think Server
M

MCP Think Server

Configuration guide for the MCP server of Think Server
2.5 points
6.7K

What is Think Server?

Think Server is a server specifically designed for the Model Context Protocol (MCP), used to manage the running environment and context interaction of models. It can help developers quickly deploy and run model-related tasks.

How to use Think Server?

Think Server can be started through a simple configuration file and supports running in local or remote environments. Just follow the instructions to set up the configuration file and you can start using it.

Applicable Scenarios

Think Server is suitable for application scenarios that require efficient model context management and task execution, such as model development, testing, and production environments.

Main Features

Model Context Management
Think Server can effectively manage the context environment of models to ensure the stable operation of tasks.
Flexible Configuration Options
Adjust the server behavior through the configuration file to meet different needs.
Cross - platform Support
Supports Windows and Linux systems, making it convenient for developers to choose the appropriate environment.
Advantages
Efficient model context management
Flexible configuration options
Cross - platform compatibility
Limitations
It has certain requirements for hardware performance
Requires a certain technical foundation for configuration

How to Use

Install Dependencies
Ensure that the required Python and other dependencies are installed.
Configure the Server
Edit the claude_desktop_config.json file to specify the server path and commands.
Start the Server
Use the configured commands to start Think Server.

Usage Examples

Start Think Server
Start the server through the configuration file.
Configure claude_desktop_config.json
Set the server path and commands.

Frequently Asked Questions

How to install Think Server?
Which operating systems does Think Server support?
What should I do if I encounter an error when starting the server?

Related Resources

Official Documentation
The official documentation of Think Server, containing detailed instructions and tutorials.
GitHub Repository
The open - source code repository of Think Server, containing source code and examples.
Technical Support Forum
User community, providing technical support and communication.

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "think": {
            "command": "uv",
            "args": [
                "--directory",
                "C:\\Users\\{user}\\mcp_server\\think_server",
                "run",
                "server.py"
            ]
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

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
4.8K
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
5.4K
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
4.9K
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
6.2K
4 points
P
Paperbanana
Python
6.4K
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
6.0K
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
7.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.7K
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
21.5K
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
34.5K
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
24.7K
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
72.5K
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#
32.3K
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
65.6K
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
21.1K
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
97.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase