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DevBrain

DevBrain

by mimeCam

DevBrain MCP Server

Chat with your favorite newsletters (coding, tech, founder).

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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 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.

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

Try quickly with remote http-transport MCP

"devbrain": {
    "type": "http",
    "url": "https://devbrain.svenai.com/mcp"
},

Related MCP server: Smart Coding MCP

Via uv or uvx. Install uv and uvx (if not installed):

curl -LsSf https://astral.sh/uv/install.sh | sh

Example command to run MCP server in stdio mode:

uvx --python ">=3.10" --from devbrain devbrain-stdio-server

Use in Claude Code (or other coding agents)

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:

{
  "mcpServers": {
    "devbrain": {
      "command": "uvx",
      "args": [
        "--python", ">=3.10",
        "--force-reinstall",
        "--from",
        "devbrain",
        "devbrain-stdio-server"
      ]
    }
  }
}

Claude issues:

sudo mkdir -p /usr/local/bin
sudo ln -s ~/.local/bin/uvx /usr/local/bin/uvx
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:

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:

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:

{
  "mcpServers": {
    "devbrain": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "svenai/mcp-devbrain-stdio:latest"
      ]
    }
  }
}

Test command to verify that docker container works correctly:

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.

Available Tools

2 tools
read_full_articleC

Returns the full content of an article identified by its URL.

Args: url: The URL of the article to read.

Returns: str: The full content of the article or an error message.

Inputs: url (required). Returns: result

retrieve_knowledgeA

Queries DevBrain (aka developers brain` system) and returns relevant information.

Args: query: The question or ask to query for knowledge. tags: Optional comma-separated list of tags (keywords) to filter or ground the search. (e.g.: ios, ios,SwiftUI, react-native, web, web,react, fullstack,react-native,flutter). Do not provide more than 3 words.

Returns: str: Helpful knowledge and context information from DevBrain (articles include title, short description and a URL to the full article to read it later).

Inputs: query (required), tags. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: one fetches full article content from a specific URL, while the other queries a knowledge base with a search query and optional tags. There is no functional overlap or ambiguity between these operations.

    Naming Consistency5/5

    Both tools follow a clear verb_noun pattern (read_full_article, retrieve_knowledge) with consistent snake_case formatting. The naming conventions are predictable and semantically appropriate for their functions.

    Tool Count2/5

    With only 2 tools, the server feels severely under-scoped for a system described as a 'developer's brain' knowledge base. A comprehensive knowledge system would typically need more operations like searching, filtering, listing, or managing knowledge entries beyond just retrieving content and querying.

    Completeness2/5

    The tool surface is incomplete for a knowledge base system. While it provides retrieval of specific articles and knowledge queries, it lacks essential operations like listing available articles, searching by metadata, updating knowledge, or managing the knowledge base structure. This creates significant gaps for agent workflows.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

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