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Empowers AI agents to execute, optimize, and manage JavaScript/TypeScript projects using the Bun runtime via Model Context Protocol.
Bridge ReportPortal instances with AI chat assistants to enable natural language querying of test runs and results.
Enables AI assistants to execute Python code within a persistent Django shell session.
Enables AI models to interact with Ethereum blockchain data via JSON-RPC calls.
Enhances AI coding assistants by enforcing explicit LLM evaluations for planning, code changes, and testing to ensure safer, higher-quality, and evidence-based development.
Manages and serves dynamic prompt templates using Go's text/template engine for Model Control Protocol clients.
Enables Claude to interact with and manage Azure services through natural language.
Automatically generates Cypress Page Object classes and comprehensive test suites for any web page.
Enables Claude Code to seamlessly integrate and leverage Google's Gemini AI through an OpenRouter API key.
Enables AI assistants to debug Go applications by providing an MCP server interface to the Delve debugger.
Enables LLMs to record, retrieve, and manage their reasoning processes during problem-solving.
Enables LLMs in agent mode to analyze images by extracting and converting them to base64.
Enables Large Language Models to search through documentation generated by MkDocs.
Provides read-only access to Bybit's cryptocurrency exchange API through the Model Context Protocol (MCP).
Analyzes PCAP files to enable LLMs to query and understand network traffic, providing structured JSON responses.
Empowers Large Language Models to perform a wide range of HTTP requests to interact with web services and APIs.
Transforms traditional software development into an AI-guided natural conversation experience for rapid MVP and POC creation.
Enables interaction with Babashka, a Clojure interpreter, through the Model Context Protocol.
Determines when human intervention is needed in AI agent operations through a sequential scoring system.
Empowers AI agents to conduct GDAL-style geospatial analysis, offering catalog discovery, metadata intelligence, and raster/vector processing via Python-native libraries and natural language interaction.
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