Why this server?
Enables generating scripts based on specified topics and keywords, useful for startups creating content or workflows related to AI.
Why this server?
Provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web, valuable for AI startups involved in data mining or web scraping for business intelligence.
Why this server?
Enables seamless integration between local Ollama LLM instances and MCP-compatible applications, providing advanced task decomposition, evaluation, and workflow management capabilities, which can be leveraged by AI startups for internal tooling and AI agent development.
Why this server?
A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama, facilitating comparison and usage of different LLMs in AI product development by startups.
Why this server?
A modular dynamic API server based on the MCP protocol that provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption, allowing cost-effective AI agent development for startups.
Why this server?
Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources, which is helpful for AI agent development.