"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 fetching Toggl Track v9 time entries for a single date with timezone awareness.

Provides tools to start/stop time tracking, list workspaces, and view current entry in Toggl.

Enables logging time entries to Toggl Track via MCP tools for listing tags, descriptions, and creating entries, with time conversion from Eastern Time to UTC.

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 for Toggl Focus 2.0, enabling project, task, and time-entry management with live timer control 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 an AI grocery replenishment agent to interface with Korral's StoreLink stock API, providing tools to look up SKUs, get stock positions and gaps across stores, create replenishment orders (with buyer approval), and track order status.

MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.

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 real-time user intervention for MCP agents through a web UI, allowing users to review context and provide feedback when AI agents drift from intent, keeping them on track.

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.

MCP server that gives agents the same interface as dashAI's GUI: explore datasets, list models, train, track jobs, and read metrics.

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.

Search and discover YouTube channels via natural language, track them, and summarize videos without transcripts using Gemini API.

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.