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Build, deploy, and sell AI agents for local-service businesses from your IDE.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.seldonframe/mcp" MCP server from askskill: Run: claude mcp add 'io-github-seldonframe-mcp' -- npx -y @seldonframe/mcp
Help me design an AI agent for a local home-service business, including core features, user flow, required data, and deployment considerations.
A draft AI agent plan covering features, workflow, data needs, and launch considerations.
Generate a deployment checklist for an AI agent for a local repair shop, including development, testing, launch, and operations checks.
A structured deployment checklist to guide implementation and release from the IDE.
Draft sellable value propositions, target customer profiles, and pricing talking points for an AI agent aimed at local beauty salons.
Selling points and positioning notes suitable for sales conversations.
When developers need to build AI agents for local-service businesses such as home services, repair, or beauty, they can drive design and development directly from the IDE.
When a team is ready to put a built AI agent into real business use, this type of tool is suited to support deployment and release workflows.
If you want to sell AI agents as products to local service businesses, this tool targets that workflow from development to commercialization.
It is an MCP tool positioned for building, deploying, and selling AI agents for local-service businesses from your IDE.
Based on the description, it is best suited to developers, and may also fit product or marketing roles involved in AI delivery and commercialization.
The provided information does not include installation steps, runtime requirements, or API key details; see the source repository.
Add authorization, delegation, provenance, and audit controls to AI agents.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Build AI-native IDE products quickly with integrated MCP tool support.
Securely connect AI agents to self-hosted databases for simple querying.
Build effective AI agents with MCP and simple workflow patterns.
Securely equips AI agents with executable tools for commands, search, and file operations.