CerebroMCP
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
CerebroMCP
MCP server for working with the Cerebro project management system. Lets Claude and other LLM clients read data from Cerebro: tasks, messages, users, attachments, and more.
Features
List all projects and navigate the task tree
Find a task by full path (
/Project/Folder/Task)Read task forum messages (briefs, reviews, reports, notes, status changes)
View tasks assigned to a specific user
Get task attachments or attachments for a single message
Read custom tags, checklists, and task dependencies
Decode statuses and activity types (reference data)
Get the currently authenticated user
For the full list of tools, see AGENTS.md.
Related MCP server: codebeamer-mcp
Installation
1. Copy the pycerebro library
The library is not included in this repository. Copy the pycerebro folder from your Cerebro installation into the project root:
C:\Program Files\Cerebro\py-site-packages\pycerebro → <project folder>\pycerebro2. Create a virtual environment and install dependencies
cd <project folder>
python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt3. Verify the installation
python -m py_compile server.py
python -c "import pycerebro; print('OK')"4. Connect to Claude Desktop
Open the configuration file:
%APPDATA%\Claude\claude_desktop_config.jsonAdd to the mcpServers section:
{
"mcpServers": {
"cerebro": {
"command": "C:\\path\\to\\project\\.venv\\Scripts\\python.exe",
"args": [
"C:\\path\\to\\project\\server.py"
],
"env": {
"CEREBRO_USER": "your_login@example.com",
"CEREBRO_PASSWORD": "your_password"
}
}
}
}Replace C:\\path\\to\\project with the actual project folder path, and set CEREBRO_USER and CEREBRO_PASSWORD to your Cerebro credentials.
Restart Claude Desktop after saving.
This server cannot be deployed
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