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Provides an interface to the Coingecko Pro API for retrieving cryptocurrency data.
Provides Excel file manipulation capabilities without requiring Microsoft Excel installation.
Retrieves stock data from the Alpha Vantage API for use as context in Large Language Models.
Enables access to Hanzo AI and platform capabilities through the Model Context Protocol (MCP).
Extracts embedded data and SVG components from TypeScript/JavaScript source code into structured JSON and SVG files.
Connects AI models to the Pollinations.ai service using the Model Context Protocol to generate images and text.
Browse and discover open-source AI agent and MCP orchestration tools.
Empowers users to build and run local-first, AI-assisted, step-by-step workflows for SEO and data processing.
Provides AI agents with programmatic access to AppSignal's monitoring data, metrics, and developer tools.
Transforms Markdown documentation into an intelligent knowledge base with AI-powered search and Q&A via an MCP server.
Provides an HTTP API endpoint for a Model Context Protocol (MCP) server, enabling access to data from diverse open-access publishers using an LLM and search API.
Implements a comprehensive service with 56 medical calculators spanning diverse clinical specialties.
Aggregates multiple MCP servers to streamline AI agent code execution, significantly reducing token usage, improving speed, and preventing hallucinations.
Provides a Model Context Protocol server for real-time and historical data from NSE and BSE India stock market APIs via Streamable HTTP.
Provides a local-first MCP server that enables AI assistants to execute code directly via a single interface, drastically reducing token usage.
Bridges Claude Code to Language Server Protocol (LSP) servers, enabling advanced semantic code intelligence.
Integrate a vast soundboard into AI agents, enabling them to search, play, and interact with millions of sounds from myinstants.com.
Provides a robust attestation infrastructure for AI agents, encompassing verifiable identity, W3C credentials, and EU AI Act compliance.
Reduces LLM token usage by semantically compressing prompts while preserving meaning and core constraints.
Provides persistent memory for AI tools, enabling every session to leverage context from all previous interactions.
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