Explore OpenAPI v3 specifications, summarize APIs, and inspect the endpoints needed for a task through MCP.
Key Features: OpenAPI specification discovery Plain-language API summaries Operation-level endpoint details Parses PRDs into structured tasks, expands implementation steps, and manages AI development work across multiple model providers.
Manage Docker containers, images, networks, and volumes through MCP tools, prompts, and resource templates.
Key Features: Natural-language container composition prompt Container lifecycle management Image build, pull, push, and removal Local document storage, uploads, hybrid search, context retrieval, and optional Gemini analysis for coding agents.
Key Features: Local Orama document and vector storage Hybrid full-text and semantic search Parent-child document chunking Connects coding agents to running Next.js 16+ dev servers for runtime errors, routes, logs, docs, and browser automation guidance.
Key Features: Discovers running Next.js development servers Proxies runtime errors, routes, logs, and metadata Resolves Server Action IDs to source files Manage Docker containers, compose stacks, logs, and status through MCP tools.
Key Features: Create standalone containers Deploy Docker Compose stacks UI5 development tools for scaffolding apps, consulting guidance, inspecting projects, and validating UI5 code.
Key Features: UI5 application scaffolding UI Integration Card scaffolding UI5 API and development guidance Model Context Protocol server for the Exogram Authority Runtime.
Connects MCP clients to GraphQL endpoints for schema discovery and query execution, with mutations disabled by default.
Key Features: GraphQL schema introspection Create voice-agent scenarios, pull session analytics, place SIP calls, schedule meeting bots.
Connects AI agents to Pipedream’s catalog of APIs and prebuilt tools for app integrations and workflow automation.
Key Features: Access to 2,500 APIs and 8,000+ prebuilt tools Event-driven workflow triggers Prebuilt actions across connected applications An AI integration engineer that builds, tests, monitors, and improves integrations, helping teams create robust solutions instead of workarounds.