DevBrain

# DevBrain MCP Server **Chat with your favorite newsletters** (coding, tech, founder). # Audit | <a href="https://glama.ai/mcp/servers/@mimeCam/mcp-devbrain-stdio"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@mimeCam/mcp-devbrain-stdio/badge" alt="DevBrain MCP server" /></a> | [](https://mseep.ai/app/mimecam-mcp-devbrain-stdio) | |:--------:|:--------:| | | [](https://mseep.ai/app/121bc8fb-67e7-4d57-b953-2d30b91cdfb5) | # About It is a newsletter-based MCP that searches for relevant code snippets, indie developer articles and blog posts so you don't have to hunt through generic web results again. Just ask LLM: "research <topic> on devbrain" It's kind of like a web search, but specifically tuned for high-quality, developer-curated content. You can easily plug in your favorite newsletter to expand its knowledge base even further. _**For example**, when you are implementing feature "A", DevBrain can pull related articles that would serve as a solid reference and a foundation for your implementation._ | <img width="400" alt="usage-claude" src="https://github.com/user-attachments/assets/f87b80ee-7829-43e8-9223-a02a38b4fd12" /> | [](https://youtu.be/7UFtKqI9CjQ) | |:--------:|:--------:| | Claude app | Goose app (tap on an image to open utube) | DevBrain returns articles as short description + URL, you can then: - instruct LLM agent like `Claude` or `Goose` to fetch full contents of the articles using provided URLs - instruct LLM to implement a feature based on all or selected articles ## Installation and Usage Via `uv` or `uvx`. Install `uv` and `uvx` (if not installed): ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` Example command to run MCP server in `stdio` mode: ```bash uvx --python ">=3.10" --from devbrain devbrain-stdio-server ``` ## Use in Claude Code https://docs.anthropic.com/en/docs/claude-code/mcp#installing-mcp-servers You can either add MCP to cc manually or reference tthe same .json file that Claude app uses. ## Use in Claude To add `devbrain` to Claude's config, edit the file: `~/Library/Application Support/Claude/claude_desktop_config.json` and insert `devbrain` to existing `mcpServers` block like so: ```json { "mcpServers": { "devbrain": { "command": "uvx", "args": [ "--python", ">=3.10", "--force-reinstall", "--from", "devbrain", "devbrain-stdio-server" ] } } } ``` Claude issues: - Somehow it fails to get the latest version even when OS has it installed. Forcing an update (at least once) is required for Claude app. This is done with `--force-reinstall` arg. - [Claude is known to fail](https://gist.github.com/gregelin/b90edaef851f86252c88ecc066c93719) when working with `uv` and `uvx` binaries. See related: https://gist.github.com/gregelin/b90edaef851f86252c88ecc066c93719. If you encounter this error then run these commands in a Terminal: ```bash sudo mkdir -p /usr/local/bin ``` ```bash sudo ln -s ~/.local/bin/uvx /usr/local/bin/uvx ``` ```bash sudo ln -s ~/.local/bin/uv /usr/local/bin/uv ``` and restart Claude. ## Integration for Cline and other AI agents Command to start DevBrain MCP in `stdio` mode: ```bash uvx --python ">=3.10" --force-reinstall --from devbrain devbrain-stdio-server ``` and add this command to a config file of the AI agent (Cline or other). Note that DevBrain requires Python 3.10+ support. Most systems have it installed. However VS Code (that Cline depends on) is shipped with Python 3.9. Use correct version of Python when running DevBrain MCP. A corrected version to launch DevBrain MCP looks like this: ```bash uvx --python ">=3.10" --force-reinstall --from devbrain devbrain-stdio-server ``` ## Docker integration You can run this MCP as a Docker container in STDIO mode. First build an image with `build.sh`. Then add a config to Claude like so: ```json { "mcpServers": { "devbrain": { "command": "docker", "args": [ "run", "-i", "--rm", "svenai/mcp-devbrain-stdio:latest" ] } } } ``` Test command to verify that docker container works correctly: ```bash docker run -i --rm svenai/mcp-devbrain-stdio:latest ``` ## License This project is released under the MIT License and is developed by mimeCam as an open-source initiative.