Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"tempo-filler-mcp-server": {
"args": [
"-y",
"@tranzact/tempo-filler-mcp-server"
],
"command": "npx"
}
}
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A Model Context Protocol (MCP) server for managing Tempo worklogs in JIRA. This server enables AI assistants to interact with Tempo's time tracking system, allowing for worklog retrieval, creation, bulk operations, and management.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@tranzact/tempo-filler-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
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A Model Context Protocol (MCP) server for managing Tempo worklogs in JIRA. This server enables AI assistants to interact with Tempo's time tracking system, allowing for worklog retrieval, creation, bulk operations, and management.
TempoFiller now supports MCP Apps - rendering rich visual interfaces directly in compatible AI chat clients like Claude Desktop. Instead of just text responses, you get interactive calendar and timesheet views!
Ask for your logged hours and see them in a familiar Tempo-style pivot table:

Features:
Check your work schedule with a visual calendar:

Features:
Note: Visual UIs render in MCP Apps-compatible hosts (Claude Desktop, VS Code). CLI hosts receive the same structured data, which the AI formats conversationally.
.dxt file).dxt file into the extensions panel to install
{
"mcpServers": {
"tempo-filler": {
"command": "npx",
"args": ["@tranzact/tempo-filler-mcp-server"],
"env": {
"TEMPO_BASE_URL": "https://your-jira-instance.com",
"TEMPO_PAT": "your-personal-access-token"
}
}
}
}
Here's an actual conversation showing how natural and powerful the interaction can be:
👤 User:
fill my october hours with th