Brings DataFocus ChatBI to agents: query data in natural language over multiple conversation rounds.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add datafocus --env BEARER_TOKEN='<BEARER_TOKEN>' -- java -jar path/to/focus_mcp_data/focus_mcp_data.jar~/.codex/config.toml
[mcp_servers.datafocus]
command = "java"
args = ["-jar", "path/to/focus_mcp_data/focus_mcp_data.jar"]
env = { BEARER_TOKEN = "<BEARER_TOKEN>" }
# codex mcp add datafocus --env BEARER_TOKEN='<BEARER_TOKEN>' -- java -jar path/to/focus_mcp_data/focus_mcp_data.jar~/.cursor/mcp.json
{
"mcpServers": {
"datafocus": {
"command": "java",
"args": [
"-jar",
"path/to/focus_mcp_data/focus_mcp_data.jar"
],
"env": {
"BEARER_TOKEN": "<BEARER_TOKEN>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"datafocus": {
"type": "stdio",
"command": "java",
"args": [
"-jar",
"path/to/focus_mcp_data/focus_mcp_data.jar"
],
"env": {
"BEARER_TOKEN": "<BEARER_TOKEN>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"datafocus": {
"command": "java",
"args": [
"-jar",
"path/to/focus_mcp_data/focus_mcp_data.jar"
],
"env": {
"BEARER_TOKEN": "<BEARER_TOKEN>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"datafocus": {
"command": "java",
"args": [
"-jar",
"path/to/focus_mcp_data/focus_mcp_data.jar"
],
"env": {
"BEARER_TOKEN": "<BEARER_TOKEN>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"datafocus": {
"command": "java",
"args": [
"-jar",
"path/to/focus_mcp_data/focus_mcp_data.jar"
],
"env": {
"BEARER_TOKEN": "<BEARER_TOKEN>"
}
}
}
}Environment variables
BEARER_TOKEN
Replace the placeholders with your own credentials and keep them out of version control.