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Facilitates research projects by acting as an MCP server to retrieve survey data from and create survey pages in Notion.
Provides access to Jewish texts from the Sefaria library for Large Language Models via the Model Context Protocol.
Automates the conversion of API documentation into cURL commands using a self-learning AI system.
Provides access to housing-related data in Hong Kong via a FastMCP interface.
Exposes the codetoprompt library through the Model Context Protocol (MCP), enabling LLM agents to programmatically generate prompts and analyze code.
Provides an all-in-one suite of tools for local and remote Large Language Models, enabling multi-engine web search, secure web page fetching and summarization, internal document reading, academic lookups, and calculations.
Enables AI agents to automatically discover, fetch, and process open civic datasets from Dresden's OpenData Portal.
Analyzes food images to detect items, calculate calories and protein content, and answer nutrition-related questions using AI.
Enhances and cleans raw prompts using AI, improving clarity, actionability, and effectiveness.
Enables AI assistants to search Wikimedia Commons for images, providing detailed metadata and visual thumbnail composites.
Provides persistent semantic memory and knowledge graph capabilities for AI assistants using the Model Context Protocol (MCP).
Analyzes code for security risks and manages code snapshots using AI, integrating directly with Model Context Protocol-compatible AI tools.
Integrates the Famulor Voice Agent Platform with MCP-compatible clients to enable AI-powered phone calls, voice assistant management, and call data retrieval.
Provides image viewing capabilities for AI agents, accepting images via file path or base64 data and returning them in a standardized multipart format with metadata.
Connects MCP clients to BatchData's comprehensive real estate data and services, including property lookup, comparable analysis, and contact information.
Establishes a tamper-evident, hash-chained public ledger to record and verify the work of AI agents.
Extends AI assistants like Claude with a diverse array of powerful tools for tasks ranging from mathematical animation rendering to data analysis and food ordering.
Analyze Portuguese SAF-T tax files with AI assistants to validate compliance, query data, and extract financial insights from invoicing and accounting records.
Exposes LocalStack-managed AWS services as AI-agent tools, enabling LLMs and AI agents to interact with local AWS infrastructure during development and testing.
Automates early-stage literature review and academic paper analysis by integrating PDF parsing with AI.
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