Add default CRAN mirror and increase MCP timeout

PlotMyData/agent.py

@@ -28,7 +28,7 @@ server_params = StdioServerParameters(
     ],
 )
 # STDIO transport to local R MCP server
-connection_params = StdioConnectionParams(server_params=server_params, timeout=10)
+connection_params = StdioConnectionParams(server_params=server_params, timeout=30)
 
 # Define model
 # If we're using the OpenAI API, get the value of OPENAI_MODEL_NAME set by entrypoint.sh

entrypoint.sh

@@ -5,7 +5,10 @@ set -e
 
 # MCP session setup for persistent R environment
 # Create .Rprofile to run mcp_session() when R starts
-echo "library(tidyverse); source('data_summary.R'); mcptools::mcp_session()" > .Rprofile
+cat > .Rprofile << 'EOF'
+options(repos = c(CRAN = "https://cloud.r-project.org"))
+library(tidyverse); source('data_summary.R'); mcptools::mcp_session()
+EOF
 
 # Start R in a detached screen session
 # TODO: Look at using supervisord for another way to run multiple services