"Toggl Track" matching MCP servers:

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.

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.

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 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.

A professional tool for automatically generating enterprise-standard tracking code for H5, mini-programs, and native applications. It streamlines event tracking for API calls, user clicks, and UI interactions while supporting JIRA integration for task-specific tracking.

A powerful context management system that maintains persistent context across coding sessions, helping development teams track project structure, dependencies, and progress.

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 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.

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.

MCP server that provides a live, terminal-native layered dependency map for AI coding assistants, with tools to track and visualize development progress in real time.

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.

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.

An MCP server that helps AI agents plan and track software projects using the Conducted Development methodology, providing artifact validation, kickoff guidance, and project rituals.

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

Enables read-only queries across App Store Connect and Google Play from one toolset, letting users list apps, track release states, and review merged store feedback without extra dependencies or credentials in demo mode.

Exposes a set of honesty SDK TypeScript libraries as MCP tools so a coding agent can check grounded citations, corroborate evidence, test payout and mutation invariance, score trust and anonymous authenticity, validate provenance claims, track a claims registry and tamper-evident audit chain, and grade recommendations against outcomes. It also scaffolds two runtime kits for agent authorization receipts and pre-call cost governance.

An MCP server that drives Google Play releases: bundle upload, track releases (internal/closed/open/production), listing metadata, store graphics, and review replies.