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smplkit/mcp

by Various

Hosted MCP server for the smplkit platform — schedule and run HTTP jobs from your AI agent.

MCP

smplkit/mcp

Added 3 Sept 2026

#ai-agents #claude #cron #cursor #fastmcp #jobs #mcp #model-context-protocol

Overview

A hosted MCP server for the smplkit platform that lets AI agents schedule and run HTTP jobs. It exposes job management through the Model Context Protocol, allowing agents to create, trigger, and monitor HTTP requests without managing infrastructure.

Best for

Best for
Developers who want AI agents to manage scheduled HTTP tasks without building their own job scheduler.

Use cases

  • Schedule recurring HTTP calls from an AI assistant
  • Trigger on-demand HTTP jobs via natural language commands
  • Monitor job status and results through MCP tool calls

Notes

A hosted MCP server for the smplkit platform that lets AI agents schedule and run HTTP jobs. It exposes job management through the Model Context Protocol, allowing agents to create, trigger, and monitor HTTP requests without managing infrastructure.

0 stars on GitHub. Last updated 2026-08-28. Licensed MIT.

Use cases

  • Schedule recurring HTTP calls from an AI assistant
  • Trigger on-demand HTTP jobs via natural language commands
  • Monitor job status and results through MCP tool calls

Pros

  • Hosted, so no server setup or maintenance required
  • Native MCP integration works with compatible AI agents
  • Simple focus on HTTP jobs keeps the tool easy to learn

Cons

  • Limited to HTTP jobs, not general-purpose task execution
  • Requires an account on the smplkit platform
  • Dependent on the platform’s uptime and API stability

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Hosted, so no server setup or maintenance required
  • Native MCP integration works with compatible AI agents
  • Simple focus on HTTP jobs keeps the tool easy to learn

Cons

  • Limited to HTTP jobs, not general-purpose task execution
  • Requires an account on the smplkit platform
  • Dependent on the platform's uptime and API stability
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