PyTorch HUD

Model Context Protocol (MCP) server for https://www.opslevel.com

Pick from 100s of MCP servers on mcp.run's free and secure tool management platform. Entirely implemented in WebAssembly, these do not put your system at risk of the same vulnerabilities or data exfiltration as other MCP servers do.

Integrates with the World Air Quality Index API to retrieve real-time air quality data for cities and monitoring stations globally.

Shared memory layer for your AI coding agents - integrated with all major AI IDEs --ByteRover helps create a shared memory layer that captures and indexes all agent interactions, reasoning paths, and developer feedback during coding tasks. Then from those experiences, we creates a memory layer stored in a vector database. Those memories could be retrieved as the AI agents encounter similar contexts to help them find the optimal solution tailored for that specific project/company requirements.

Enables AI agents to discover schema, execute GraphQL queries/mutations, aggregate data, and check health for a Hasura API.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.