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Provides a persistent quantitative workspace for mathematical operations, data visualization, and cross-session state via the Model Context Protocol.
Streamlines LLM interactions through a token-efficient Domain Specific Language, dramatically reducing token usage.
Bridges Large Language Models (LLMs) with databases using a Model Context Protocol (MCP) server.
Provides comprehensive access to Wikipedia content via an MCP server, featuring intelligent caching, batch operations, and advanced search capabilities for local development.
Integrates Gemini CLI with Claude Code to provide comprehensive, AI-powered codebase analysis and review capabilities.
Connect AI assistants to the Razorpay payment gateway API through the Model Context Protocol.
Exposes Indian stock market data through a local Model Context Protocol (MCP) server.
Provides a framework for building intelligent, interoperable serverless AI agents in TypeScript.
Generates Model Context Protocol (MCP) servers from OpenAPI specifications.
Provides long-term memory for Large Language Models (LLMs) by implementing the Model Context Protocol (MCP).
Streams up-to-date package documentation to AI coding assistants.
Enables Large Language Models to manage and automate Cisco Hyperfabric infrastructure by exposing its APIs as callable tools.
Demonstrates a Model Context Protocol (MCP) server implementation using multiple agent frameworks.
Enables Puch AI to perform real-world tasks like fetching web content, searching for products, and integrating with WhatsApp for AI-powered messaging.
Exposes Tuba.ai computer vision workflows as callable tools for programmatic interaction by AI assistants, scripts, and services.
Provides an undetectable Chrome runtime environment, specifically designed for AI agents, offering a REST API, MCP server, and VNC debugging capabilities.
Enables modification of files through a Model Context Protocol server.
Enables AI assistants like Claude to perform web searches using the Exa AI Search API.
Facilitates Retrieval Augmented Generation (RAG) using LlamaIndex, Gemini embeddings, and LanceDB for local knowledge storage.
Executes code securely in isolated containers via the Model Context Protocol.
Enables AI models to interact with the Polarsteps API for fetching travel data, trip information, and user profiles.
Enables AI assistants to interact with and control Coreflux MQTT brokers.
Manages tasks and projects with priorities for AI assistants like Claude Desktop, ensuring efficient organization and progress tracking.
Provides comprehensive time manipulation capabilities for AI models, including timezone conversions, date arithmetic, and business day calculations.
Provides the current time and calculates time differences via the Model Context Protocol (MCP).
Exposes SSH control for Linux and Windows systems via the Model Context Protocol (MCP).
Enables Claude to execute code snippets from the Nostr network.
Provides agentic retrieval of financial market data from Yahoo Finance via a Model Context Protocol (MCP) server.
Queries Tako to retrieve real-time data and generate visualizations.
Transforms The Build Podcast into a searchable AI-powered knowledge base, enabling discovery of business ideas and product strategies through natural language queries.
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