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Connects Large Language Models like Claude to EVM and Solana chains, enabling interactions with blockchain data and transactions.
Enables secure command-line execution with validation for LLM applications.
Enables interaction with Confluence through a TypeScript-based server.
Streamlines processes and optimizes operations for maximum productivity in various industries and sectors.
Facilitates interaction with the GitHub API using the Model Context Protocol.
Categorizes and organizes various tools relevant to MCP server management.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without authentication.
Generates a Multi-Agent Conversation Protocol server for the Vtex Subscriptions API.
Enables AI agents to help users manage their daily priority tasks with focus and persistence.
Manages Azure DevOps work items through the Model Context Protocol (MCP) server.
Facilitates dynamic and reflective problem-solving through a structured, step-by-step thinking process for AI models.
Develop and experiment with modular conversational AI agents powered by LangGraph and the Model Context Protocol (MCP).
Generates test scenarios from user stories by integrating with the Claude desktop interface.
Converts various file and office document formats into Markdown for streamlined integration with applications and LLM compatibility.
Provides a multi-category knowledge graph memory server leveraging SQLite for persistent storage and isolated memory contexts.
Manages GNU Gettext `.po` translation files, offering comprehensive tools for reading, writing, and manipulating entries.
Empowers NestJS developers with an extensive suite of AI-powered tools for accelerated code generation, robust security auditing, and streamlined deployment automation.
Automates and validates the conversion of XML service definitions to OpenAPI 3.1 specifications.
Bridges Spring Boot applications with AI assistants using the Model Context Protocol (MCP) to enable project introspection.
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.
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