Thinkwatch
Enterprise AI bastion host for secure AI API and MCP access, with unified proxying, RBAC, audit logs, rate limiting, and cost tracking across OpenAI, Anthropic, Gemini, and self-hosted LLMs.
by ThinkWatchProject · ThinkWatchProject/ThinkWatch
Install
See GitHub repository for installation instructions.
How to use Thinkwatch with Claude
Thinkwatch is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to ai & ml capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — Thinkwatch will appear in the available tools list
About Thinkwatch
Thinkwatch is an open-source MCP server in the AI & ML category, built in Rust. It connects Claude and other MCP-compatible clients to ai & ml systems directly. Source available on GitHub.
Use cases for AI & ML MCP servers
- →Chain AI models and pipelines from a single interface
- →Query model outputs and fine-tuning runs programmatically
- →Automate eval pipelines and benchmark comparisons
- →Connect AI agents to specialized ML infrastructure
Where Thinkwatch fits in an MCP workflow
Teams use Thinkwatch to give Claude a direct bridge into ai & ml workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
Thinkwatch can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to ai & ml systems.
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