Lets you expose any product, web app, or SaaS backend as a dynamic, stateful MCP server with built-in agent memory, context persistence, and workflow-aware tool gating for AI agents.
Enables building a stateless MCP endpoint on top of Convex, allowing AI agents like Claude to discover and interact with Convex backend functions as tools, prompts, and resources.
Provides a production-oriented MCP server exposing tools, resources, and prompts over Streamable HTTP with JWT authentication and per-tool RBAC, enabling Amazon Bedrock Claude clients to securely invoke MCP capabilities.
Exposes internal databases, HTTP APIs, and files to LLM agents over MCP, with auto-generated schemas, access controls, rate limiting, redaction, and audit logging.