A Model Context Protocol server that connects to the Tesla Fleet API, allowing AI assistants like Claude to control Tesla vehicles and access vehicle information through natural language commands.
A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.
Enables control and monitoring of Tesla vehicles through the Tessie API, providing access to vehicle state (battery, location, climate) and commands (lock/unlock, climate control, navigation) with support for both local and Cloudflare Worker deployment.
Provides access to Tesla vehicle telemetry data via the Tessie API, enabling real-time monitoring of battery status, charging state, climate controls, location, and other vehicle metrics through 30+ tools with intelligent caching.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
Provides Kanban, Gantt, list views, multi-project management, and archiving for task management via MCP protocol, enabling Cherry Studio Agent to create, update, query, and organize tasks.
Provides AI assistants with persistent graph-based memory capabilities using Neo4j, enabling semantic search, relationship tracking, and knowledge organization across multiple project contexts.
AI bookkeeper for small businesses that connects to QuickBooks Online. Enables users to query financial data like bank balances, P\&L reports, and invoices through natural language in Claude Desktop or Cursor.
A demonstration implementation of a Model Context Protocol server that provides simple mathematical tools (add, subtract) and personalized greeting resources.
