Tempo Released MCP Server for AI Assistants
The integration connects AI tools directly to time and capacity data to automate manual reporting workflows.
Updated on Oct. 6, 2026 in Artificial Intelligence

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Tempo has released the Tempo MCP Server, which allows AI assistants like Claude Code and Cursor to access project time, capacity, and cost data. The server is now available for organizations with existing Tempo Cloud licenses.
Why it matters
The tool streamlines project management by automating manual report exporting and data reconciliation processes. It allows users to query internal metrics directly within IDEs, terminals, and chat windows.
The server provides read-only access to internal data, with all requests governed by the user's existing Tempo permission settings. It functions by connecting to AI assistants via Model Context Protocol (MCP) support.
The players
Tempo
A provider of project management and time-tracking software serving over 30,000 customers.
Claude Code
An AI coding assistant developed by Anthropic that utilizes local context to aid software development.
Cursor
An AI-powered integrated development environment (IDE) that integrates language models into the coding workflow.
The details
The Tempo MCP Server uses the Model Context Protocol (MCP) — an open standard that allows AI assistants to interface with external data sources and tools. By acting as a bridge between the AI interface and the Tempo backend, the server allows agents to pull project-specific data without leaving the user's IDE or terminal. Security is maintained by strictly adhering to the read-only permissions already defined in the user's Tempo Cloud account.
Timeline
October 6, 2026: Tempo announced the Tempo MCP Server.
The Tech Race
Tempo's release follows the broader industry adoption of the Model Context Protocol (MCP) to standardize how AI agents access enterprise systems. The company joins a growing list of vendors mapping proprietary software stacks into the MCP format to remain relevant in AI-augmented developer workflows.
Users with active Tempo Cloud licenses can begin utilizing the server immediately within tools like Claude Code and Cursor. The integration removes the need to manually export reports for AI analysis, effectively shortening the feedback loop for project cost and capacity tracking.
The takeaway
This development shifts the burden of data synthesis from the user to the AI assistant by enabling direct, permission-controlled access to project telemetry. Organizations should monitor their internal Tempo usage metrics to identify which report types see the highest automation gains from this integration.
Further reading
Learn more about the infrastructure behind agent-based workflows in our Artificial Intelligence section.
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Do you trust AI assistants to accurately track your team's project time and budget usage?









