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Integrates with the Buttondown API to manage newsletters, drafts, and analytics via CLI, MCP server, and TypeScript API.
Enables self-evolving, general problem-solving through logical reasoning, ethical constraints, and adaptable solutions.
Provides natural language processing capabilities using the Model Context Protocol within a FastMCP application.
Provides a Google Custom Search server, integrating the Google Custom Search API for powerful search capabilities.
Integrates with the CEDAR metadata repository, enabling AI agents to access and manage biomedical metadata as a Model Context Protocol server.
Provides intelligent answers to questions about GitHub documentation using local LLMs and vector embeddings.
Streamline the job application process by searching multi-site job postings, analyzing descriptions, and optimizing application documents.
Bridges local file systems with large language models and AI assistants through powerful file-first search capabilities.
Provides a VM-like sandbox environment on Modal for agents, featuring persistent filesystem state and an MCP endpoint for interaction.
Discover and explore data across various sources, including SQLite databases and CSV files, leveraging an integrated API for AI agents.
Enforce policies for AI agents by detecting PII, applying guardrails, and ensuring GDPR/EU AI Act compliance.
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