68 read-only China A-share MCP tools for AI Agents: K-line, limit-up ladder, capital flow, Dragon Tiger List and post-market review.
Agents
Designing, evaluating, and shipping autonomous AI agents.
7579 posts
Human-in-the-Loop Protocol for Autonomous Agent Services — Open Standard (v0.8)
OVP: the open visualization protocol for describing, validating, and rendering information design identically, for humans, software, and AI...
Local orchestration and routing for AI agents — gateway-first, agent-first, integration-first
Multi-model consensus debate via the filesystem. LLMs propose, peer-review, rebut, vote and synthesize a group-confirmed answer. CLI + MCP.
Safe Kubernetes access for AI agents via MCP. Read-only by default, with explicit permission modes.
Autonomous yield for AI agents on Base. 80% liquid, 20% earning. No lockup. One SDK call.
Runtime guardrails for TypeScript AI agents. Prevents duplicate tool calls, enforces per-user cost budgets, and gates irreversible actions....
Persistent shared memory and context compression for AI coding agents. Local-first Rust daemon with HTTP, MCP, and a desktop control center.
The operating manual for your codebase — written for AI agents. Shift-left intelligence layer that gives AI coding agents deep understanding...
Agent control plane for governed AI coding: validate changes, enforce policy gates, track findings, proofs, and evals based on your habits.
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