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"namespace:com.industry-lens" matching MCP servers:

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    An MCP server that provides a flexible lens into directory structures and files, enabling LLM clients to efficiently navigate and understand codebases with minimal noise. It offers secure, gitignore-aware file access with tools like directory listing, file reading, and grep-like search.
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    1
    MIT
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    Enables AI tools to interact with the Lens Protocol decentralized social network ecosystem. Supports fetching profiles, posts, followers, searching content, and accessing social graph data through standardized MCP interfaces.
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    Four specialized AI agent skills: Integral Hermeneutics (8-lens text interpretation through any text type), Rune Wisdom (Elder Futhark divination), What-If Scenario Builder (15 foresight frameworksg), and Strategical Alignment (6-phase protocol for detecting where short-term optimization builds long-term fragility, with 9-dimension gap assessment)
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    Bridges AI agents to the Lenx.ai social media monitoring API, enabling task management like listing, creating, and exporting monitoring data.
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    A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.
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    MIT
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    Enables Claude to interact with the Ethereum Name Service (ENS) system to resolve names, check availability, retrieve records, and perform other ENS-related operations through natural language.
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    MIT
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    A simple Model Context Protocol server that provides real-time weather data to AI agents like GitHub Copilot, allowing users to get current weather information for any city through natural language queries.
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    MIT
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    Enables AI assistants to search Sunex's lens and imager catalog using natural language queries. It provides tools for finding compatible lenses, sensor specifications, and product details through a public Model Context Protocol server.
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    MIT
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    Enables users to ask questions about their spreadsheets in plain English and receive instant answers using DuckDB-powered analytics, supporting multiple file formats like Excel, CSV, and Parquet.
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    MIT
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    Provides AI agents with deep visibility into a running web page's UI by capturing DOM, styles, and screenshots through a lightweight bookmarklet. It facilitates design-to-code comparisons, accessibility audits, and automated CSS debugging directly within an IDE.
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    A 100% local development monitoring tool that captures browser console logs, network requests, and backend server output for analysis by AI assistants via MCP. It enables LLMs to debug applications by providing structured, real-time access to full-stack log data and persistent local storage.
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    MIT
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    An MCP server for supply chain intelligence that enables conversational querying of eight operational KPIs and anomaly detection data through Claude. It allows users to analyze performance metrics like OTIF and inventory turnover while providing LLM-generated root-cause explanations.
    Last updated
    10
    MIT