#loop

pydantic-ai-researcher is a research system that orchestrates an asynchronous loop between two specialized agents: a research agent and an evaluator agent. The research agent answers complex queries using external MCP servers, while the evaluator agent assesses and refines these answers, iterating until a satisfactory response is attained.

A simple chat loop that includes multple mcp servers.

Trigger a help request directly from your IDE via MCP and get human help in minutes

MockLoop MCP is a powerful tool that helps developers create mock API servers effortlessly. 🚀 With just a few commands, you can set up a testing environment that mimics your production API. 💻

Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.

A Model Context Protocol (MCP) server implementation that exposes Pearl's AI and Expert services through a standardized interface

Persistent memory for AI agents that survives across sessions. Store, recall, and semantically search memories. Includes loop detection that catches agents stuck repeating themselves, full audit trails, shared memory between agents, and a real-time dashboard. Works with Claude Code, Claude Desktop, and Cursor. Open source, free tier available.

MCP server for César Yagüe's Visual Medicine — 301 contemplative moving art works (seamless master loops up to 16K) across 13 collections, enriched with 109 deep vibrational capsules. 6 tools: search, browse, recommend for space, detail, overview, and direct inquiry to the artist.

Open execution contract for agents doing business work. 6 operators following one spec. Approval-gated, tenant-isolated, MIT. Reference at chieflab.io/spec/v0.1.

Pay-per-call MCP server. Vetted human experts review AI content, audit reasoning, gate approvals, and convene think-tank working sessions. 9 paid tools $1–$15, USDC on Base via x402.

Engagement marketplace on Base, native to the Bankr ecosystem: AI agents and communities fund quests (follows, reposts, replies, quotes, original posts); verified-X humans complete them and are paid per approved action from a non-custodial x402 escrow — in USDC, BNKR, or any Bankr-launched token.