"Toggl Track" matching MCP servers:

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.

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.

Model Context Protocol server for the GlobKurier API. Enables AI assistants (Claude, Cursor, Cline and others) to track shipments, search shipping products and generate purchase links.

Enables Claude to monitor and inspect running processes through a lightweight wrapper that captures stdout/stderr logs and stores process metadata in SQLite. Users can track any command execution and query process status, logs, and history through natural language.

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.

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

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

Enables MCP clients to manage Apple Music playlists end-to-end, including search, playlist creation and editing, metadata and flow auditing, track ordering optimization, and listening statistics, without an Apple Developer account.

An MCP server that captures and analyzes function-level profiling data from NetEase Minecraft Bedrock Edition mods via the native Tracy profiler, enabling AI to identify performance hotspots and verify optimizations.

Enables AI assistants to read and modify KiCAD PCB designs through the KiCAD IPC API, providing tools for board queries, footprint placement, track creation, DRC, and export.

A Python-based MCP server that facilitates structured problem-solving through sequential thinking, branching, and confidence scoring. It allows users to track assumptions and manage multiple concurrent reasoning sessions to break down complex tasks.

Provides comprehensive read/write access to Word documents, including comments, track changes, and reply threads.

Enables searching, paging through, and reading IETF mailing-list archives via IMAP, allowing an MCP-capable assistant to track list activity.

MCP server for the Nimbus helpdesk that enables an AI assistant to manage support tickets, search cases, escalate issues, send responses, and track SLA compliance.

A structured reasoning and problem-solving MCP server that helps track step-by-step analysis with confidence levels, branching, and revisions, ideal for complex multi-step tasks like code optimization and debugging.

Enables AI agents to query LLM and multimodal model benchmarks, pricing, speed, and track model updates via structured diffs using the Artificial Analysis public API.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.