AI & Agents MCP Servers

MCP server bridging LLM environments with Puter's free AI APIs

One system around coding agents to run, verify, recover, and hand off software work.

MCP server that refines and improves user prompts for AI-optimal readability

Work-queue kernel for AI coding agents: dependencies, worktree isolation, quality gates, recovery

MCP server that exposes Claude-style skills to any MCP client.

Cross-platform (Windows + macOS) lane coordinator for AI coding agents (Claude, Codex, etc.) — keeps multiple local agents from colliding

MCP server that launches Claude Code/Codex sub-agents and routes tasks to Claude Messages or OpenAI-compatible API providers.

MCP server for multi-model AI access via Vercel AI Gateway

MCP server for AutoGLM ASR speech-to-text transcription with long-audio chunking and context passing

Multi-model rating for AI evaluation. Agreement is reliability, not validity. Maintenance mode.

Human-in-the-loop approvals and notifications for AI coding agents through a local stdio MCP server.

Self-hostable index of AI financial agents — tokenized stocks + crypto, memory, LLM gateway.

Delegate Claude/Codex tasks to configured Pi, with steering and optional SQLite restart recovery.

Pipeline task management for AI agents - stages, dependencies, artifacts, claiming

Call 120+ AI models and live web context (scrape/crawl/extract) from any MCP client with one key

Bidirectional AI agent collaboration — spawn and communicate with any agent CLI

Stop shipping agents on vibes. Score every agent output for quality, safety, and cost.

Lets AI coding agents coordinate asynchronously through a private git repository. No server.

Run the Grok Build CLI as MCP tools: agent runs with live progress, code review, web research.

QSP — relay MCP tools to any OpenAI-compatible local LLM (llama.cpp, Ollama, vLLM)

Safe-by-default MCP for Laya: fast, local, typed decisions (classify/score/yes-no), 100+ langs.