guides.
## AI tooling
- [AI Tooling guide](https://docs.aztec.network/developers/ai_tooling): recommended `CLAUDE.md` / `AGENTS.md` instructions, MCPservers, and skills for Aztec and Noir development. Read this first when setting
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events only; unknown requests need explicit retry, GUI actions cannot be replayed.
- Computer Use MCP 7.6.1 uses private Electron IPC/stdio, approved applications/directories, serial control, global stop and observation after resume
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sandbox whose only route out is an egress proxy Sponsio decides, with MCPservers behind Sponsio's gateway. A fleet of daemons can pair with Sponsio Cloud: signed rulebooks, rule
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Zapier MCP
> Official plugin distribution repository for the hosted Zapier MCPserver. Install Zapier MCP in your AI client to connect your assistant to 9,000+ apps
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mcptoon
> Zero-dependency Python CLI that finds, unifies and serves MCPservers for every AI client on one machine.
> Measured, not advertised: listing 255 tools across 50 servers costs
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than shares, and `pct_day` is a percentile rank rather than a percent change.
## MCPserver
- [stockscreen-mcp](https://github.com/xang1234/stock-screener/tree/main/stockscreen-mcp): Tools over this data, with
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clawdcursor
> The local MCPserver that gives any tool-calling agent safe control of the real
> desktop — clicks, types, reads the screen, opens apps, drives any GUI. Local-only
> (binds
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billing, and API key management.
- No public REST API on this host.
AI-facing MCPserver:
- https://mcp.planexe.org/mcp
- https://mcp.planexe.org/mcp/ (for clients that require trailing slash)
Agent discovery
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Documentation](https://docs.acedata.cloud): Comprehensive guides and API reference
- [GitHub](https://github.com/AceDataCloud): Open source MCPservers and clients
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creation. It supports bring-your-own LLM providers, local Claude Code/Codex engines, Markdown skills, MCP connectors, IM channels, local traces and an executable DAG canvas for short-drama assets.
## License
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docs.gizmosql.com/opentelemetry.md): traces and metrics export
## Integrations
- [Extensions & Tools](https://docs.gizmosql.com/integrations.md): ecosystem integrations
- [MCPServer](https://github.com/gizmodata/gizmosql-mcp): Model Context Protocol server and Claude Desktop extension so AI agents
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upgrade = switch to latest. All releases uploaded to RAGFlow as separate datasets; MCP serves latest-stable only. Server-controlled VERSION (clients don't set it) → managed rollouts, no drift
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install statspai` (`pip install "statspai[fixest,plotting]"` for high-dimensional fixed effects and figures). MCPserver: `statspai-mcp`. CLI: `statspai`.
## Start here
- [AGENTS.md](AGENTS.md): how an agent discovers, calls
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gflow-cli
> Python CLI and MCPserver for Google Flow — drives Veo (image-to-video, text-to-video, reference-to-video) and Imagen (text-to-image) generations from the terminal
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fails (ideal for monitoring)
- **never**: Never nudge
How it works:
1. Task completes in MCPserver or sidecar
2. Checks task's nudge_mode via `shouldNudgeTask()`
3. Checks quiet hours
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