Claude Deep Think

MCP Server with Claude Vision and multi-perspective image analysis capabilities

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7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

Claude Deep Think MCP Server provides proactive deep analytical thinking using Anthropic's Claude Sonnet 4.5 to guide decisions before coding. It is designed to be consulted prior to writing code when new information arrives, helping you understand context, assess risks, and plan architecture for more reliable software outcomes.

How to use

You use this MCP server by connecting a compatible MCP client to its HTTP endpoint and then invoking the proactive think tool before making code changes. The server analyzes new information such as error messages, requirements, design constraints, or performance issues, and returns strategic guidance to inform your next actions. In practice, you will first send the new information to the think tool, review the insights, and then proceed with implementation based on the recommendations.

How to install

Prerequisites: You need Node.js 18+ or Bun installed on your system.

Install dependencies for the MCP server.
Build the server so it can start and respond to MCP requests.

Configuration and usage notes

The HTTP MCP endpoint is available at http://localhost:8080/mcp. Use an API key from Anthropic and select the Claude model as shown in the example configuration.

Security and best practices

Keep API keys secret and do not commit them to source control. Use environment variables to provide credentials and restrict access to the MCP endpoint. Rotate keys regularly and enable appropriate access controls in your MCP client.

Docker management

Start the container in detached mode, monitor logs, and manage lifecycle with Docker Compose commands as needed.

Troubleshooting

If the server does not respond, verify the container is running, check logs for errors, and confirm that the API key and model settings are correct in the connection URL.

Performance notes

Running the server with a Bun-based workflow can provide faster installs and start times, improving your development iteration speed.

Examples and workflows

Pre-plan: When new information arrives, perform a think-through using the claude_think tool, then implement with clearer direction and fewer regressions.

Available tools

claude_think

A proactive thinking tool that analyzes new information before coding, providing insights, potential pitfalls, and strategic guidance to improve implementation quality.