Improvado gives your AI agent direct access to Toggl data through an MCP server. Query time entries, project budgets, team productivity, and billing data — all in natural language. Works with Claude, ChatGPT, Cursor, Gemini, and any MCP-compatible tool.
Skip the Toggl Reports dashboard. Ask your AI agent for hours by project, billable rates, team productivity trends, or client profitability — across any workspace, period, or team member. The MCP server handles Toggl API calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read Toggl — it acts on it. Create projects, set hourly rates, update client records, and manage time entry tags through natural language commands.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on billable hours, project budgets, and team activity. Your AI agent monitors Toggl continuously and flags productivity gaps or budget risks.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read Toggl — it acts on it. Create projects, set hourly rates, update client records, and manage time entry tags through natural language commands.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Agencies using Toggl Track export hours to spreadsheets to calculate project margins — matching logged hours to billing rates and comparing against fixed-fee project budgets. The process is weekly, manual, and always slightly out of date.
Improvado extracts Toggl hours with billing rates and project budgets into a unified profitability model. The MCP server delivers real-time project margin analysis without exporting a single file.
Team leads want to know what percentage of time goes to billable vs. admin vs. overhead — but Toggl's summary reports don't break this down automatically. Every analysis requires custom tag filtering and manual aggregation.
Improvado normalizes Toggl tag hierarchies and entry types into a structured model. The MCP server makes time allocation analysis by category, tag, project type, or client available as instant queries.
Organizations using Toggl across multiple workspaces — one per client engagement or one per team — can't compare utilization or profitability across workspaces without manual data consolidation.
Improvado consolidates multiple Toggl workspaces into a single data model. The MCP server lets AI agents query across all workspaces, compare teams, and roll up hours at the organization level.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Toggl does not publish an official MCP server. Improvado provides a hosted MCP server that connects to Toggl Track via its REST API, making time entries, projects, clients, and billing data queryable in natural language.
You can query time entries, projects, clients, tasks, tags, team members, hourly rates, and project budgets. Improvado maps all Toggl Track data including custom tags and multi-workspace structures.
The primary integration is with Toggl Track (time tracking data). Toggl Plan project management data can be connected depending on your Improvado configuration. Contact Improvado to confirm current coverage.
Improvado connects via Toggl Track's REST API using API token authentication. Setup takes under 10 minutes — no local installation, no developer required.
Yes. Improvado combines Toggl hours with billing rates and project budgets to calculate profit margins. You can query profitability by project, client, or team through the MCP server in plain language.
Yes. Improvado's MCP server covers 500+ platforms. You can correlate Toggl hours with invoices in Xero, compare estimated vs. actual across Asana projects, or analyze client profitability end-to-end in one query.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.