"Rive" matching MCP servers:

Automatically generates and maintains living documentation for codebases by creating hierarchical hivemind.md files and flowchart diagrams at every directory level, enabling AI navigation and real-time or retroactive documentation of code structure, requirements, and dependencies.

Enables AI agents and MCP clients to compute real-time, in-memory unified diffs between versions of live artifacts along with structured change telemetry. It runs as a deterministic, zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or Windsurf for diff and change-tracking workflows.

Integrates Jira and Sourcegraph, enabling LLMs to retrieve and comment on Jira issues and perform code searches using Sourcegraph.

Exposes a set of CLI tools (test generation, documentation generation, linting, test running, code search) to AI assistants via MCP, allowing them to perform these tasks through natural language.