61,840 results in Identity, Infrastructure, MCPs, Observability · page 7 of 2,577
MCPsExperimental
executor
An integration layer for AI agents that provides a catalog of tools from various sources (OpenAPI, GraphQL, MCP, etc.) and can be used as an MCP server for compatible agents.
Integrates with Solana blockchain to enable token deployment, NFT creation, DeFi operations, and cross-chain transfers via Wormhole directly within conversation interfaces.
Enables control of Ableton Live music production software through a bidirectional communication system that supports track creation, MIDI editing, playback control, instrument loading, and library browsing for music composition and sound design workflows.
Official Supabase MCP server to connect AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data.
A high-performance Claude Code statusline tool written in Rust with Git integration, usage tracking, interactive TUI configuration, and Claude Code enhancement utilities.
Provides direct access to shadcn/ui v4 components, blocks, and demos through GitHub API integration with automatic framework detection for React, Svelte, and Vue, enabling rapid UI development with component source code, installation scripts, and complete block implementations.
Integrates web crawling with RAG functionality to enable website content retrieval, storage in vector databases, and semantic searching over crawled data for enhanced knowledge access
Integrates with Bright Data's web scraping infrastructure to provide real-time access to public web data through specialized tools for search engine scraping, webpage extraction, and structured data retrieval from popular websites.
Laminar is an open-source platform for tracing, evaluating, and labeling LLM and agent pipelines with a TypeScript/Python SDK and a self-hostable backend.
Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.