"author:aniruddhaadak80" matching MCP servers:

Enables agents to create, update, score, and verify tamper-evident stewardship cases through JSON-RPC MCP tools, making AI accountability records inspectable and replayable.

Exposes twelve typed tools over MCP-style JSON-RPC 2.0 so agents can grade a multi-turn transcript against escalating social pressure, report the turn a position moved, what it cost in verified facts, and whether it reverted once the load stopped. Also supports ranking and persisting trials, setting service load, recording decisions, exporting load-test certificates, and verifying sealed hash-chain integrity.

Exposes an MCP-style JSON-RPC interface at /api/mcp that lets an assistant read a live model catalog, compile and score routing policies across fast/balanced/deep lanes, patch lane assignments, and replay per-entity hash chains to verify integrity. All tools share the same service layer as the web UI, so agents can also export a sealed routing manifest.

Enables agents to turn a real model failure into a deterministic benchmark task by forging it with exact assertions, grading the task itself across six weighted factors, and inspecting a tamper-evident SHA-384 audit trail. Exposes eleven typed JSON-RPC 2.0 tools that call the same idempotent service layer as the UI, so mutations and decisions stay sealed and reproducible.