"Toggl Track" matching MCP servers:

Enables Claude to interact with Toggl Track for time tracking, including starting/stopping timers, viewing current entries, and summarizing time by project via natural language.

Enables time tracking and reporting through Toggl Track integration with intelligent caching. Supports starting/stopping timers, generating daily/weekly reports, and managing projects with structured JSON output for automation workflows.

MCP server for Toggl Focus 2.0, enabling project, task, and time-entry management with live timer control through natural language.

Enables to manage Toggl time entries, projects, tasks, and timers through natural language commands.

Enables AI assistants to interact with the Toggl time tracking API to manage time entries, projects, and workspaces through natural language.

Enables MCP clients to manage Toggl Track time entries, timers, projects, clients, tags, and reports through a self-hosted stdio server.

Enables fetching and analyzing Toggl time tracking data with intelligent parsing of Fibery entity references from task descriptions. Features smart caching, user filtering, and aggregated reporting to help track time spent on specific projects and entities.

MCP server that connects Claude to Dependency-Track for natural language vulnerability triage, analysis, and management.

Enables AI assistants to manage Toggl Track time entries, projects, and workspaces through natural language, supporting CRUD operations and past date time slots.

Enables control of Toggl time tracking directly from LLMs like Claude or ChatGPT. Supports starting/stopping timers, viewing current and historical time entries, managing projects, and generating weekly summaries through natural language.

MCP server that exposes the V-Track project management API as tools for AI assistants, enabling interaction with projects, tasks, issues, sprints, and more.

Enables MCP clients to query projects, fetch findings, trigger analysis, upload CycloneDX BOMs, and check async token status against an OWASP Dependency-Track instance via stdio.

Enables querying projects, fetching findings, triggering analysis, uploading CycloneDX BOMs, and checking async token status for OWASP Dependency-Track.

Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.

Enables AI agents to lip-sync video to a different audio track via LipDub 2, including creating renders, checking statuses, and retrieving results.

Enables AI assistants to track weekly npm package download trends, growth rates, and rankings for market and developer ecosystem research.

Enables AI assistants to send documents for e-signature, track signing status, remind pending signers, and download signed PDFs with audit-trail hashes via the AddSign API.

Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.

MCP server for OrcaTrace, a pay-per-call Polymarket intelligence feed for AI agents. It provides tools to track smart money, whale entries with calibration, market repricings, and digests across 42K prediction markets, with payments settled via x402 on Base.

Enables AI agents to shorten URLs, manage links, and track click analytics through 8 first-class tools, designed for use with Claude Desktop, Cursor, and other MCP clients.