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Facilitates Drupal development by providing tools for querying modules and interacting with Drush commands through the Model Context Protocol.
Enables secure command-line execution with validation for LLM applications.
Enables interaction with Confluence through a TypeScript-based server.
Provides a test server implementation.
Categorizes and organizes various tools relevant to MCP server management.
Generates a server based on the Twilio Routes OpenAPI specification for Multi-Agent Conversation Protocol interactions.
Enables AI agents to help users manage their daily priority tasks with focus and persistence.
Provides a Model Context Protocol (MCP) server for managing and serving custom prompts to Amazon Q.
Provides a Model Context Protocol (MCP) server for seamless SMS API integration, offering both Server-Sent Events (SSE) and HTTP endpoints.
Implements a basic Model Context Protocol (MCP) server in TypeScript, following official specifications and best practices.
Connects SendForSign API functionalities to an MCP client, facilitating template management.
Converts various file and office document formats into Markdown for streamlined integration with applications and LLM compatibility.
Empowers Large Language Models to execute rule-based simulations of molecular interaction systems using the Kappa language.
Manages GNU Gettext `.po` translation files, offering comprehensive tools for reading, writing, and manipulating entries.
Batch-audits image assets for format mismatches, resolution issues, and JPEG compression quality, then generates a detailed report.
Provides a dockerized Ghidra headless server for binary analysis and malware reverse engineering via the Model Context Protocol.
Analyzes tech ecosystems for AI agents and LLM workflows by mapping technology relationships, tracking adoption, detecting CVEs, and scoring tech stack risk across six live data sources.
Enables AI clients like Claude Code and Cursor to query Cloudflare Durable Object SQLite storage securely.
Scan, diagnose, report, and automatically fix health issues across your AI agent skill ecosystem.
Measures inter-rater agreement across multiple large language models for robust AI evaluation pipelines.
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