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Provides a secure Model Context Protocol server for time-based operations, featuring timing attack protection and timelock encryption.
Connects to Jira Cloud to search and retrieve issue details for use with Model Context Protocol (MCP).
Facilitates payee creation, payment sending, payee searching, and balance retrieval via Payman AI's APIs.
Revokes ERC-20 token allowances across multiple blockchains for enhanced security.
Provides a Model Context Protocol (MCP) server to retrieve user and event information from Connpass.
Provides access to the Tabnews API through the Model Context Protocol (MCP).
Enhances the reliability of interactions between Large Language Models (LLMs) and tools, especially MCP servers, by providing a structured, validated, and controllable communication layer.
Automates Android APK security analysis and vulnerability detection by integrating various tools under a unified API.
Diagnoses and repairs configuration issues for Model Context Protocol (MCP) servers in Claude Desktop.
Integrates the Ghost blogging platform with Model Context Protocol (MCP) clients, enabling programmatic management of posts, pages, and tags.
Extends the Sliver C2 framework with a Python-based command and control server for advanced operations.
Bridges Language Server Protocol (LSP) with Model Context Protocol (MCP) to enhance codebase interaction for large language models.
Collects extensive Bilibili video and article data, including comments and danmaku, utilizing both official APIs and robust web scraping techniques.
Integrates ChatGPT with Index Network's discovery protocol via a Model Context Protocol server.
Empowers AI development by enabling agents to learn from past experiences, reducing repetitive trial-and-error and optimizing token usage.
Filters verbose shell command output to conserve AI agent context and highlight critical information.
Aggregates multiple Model Context Protocol servers into a single, secure, and authenticated endpoint for AI clients.
Optimizes large language model context window usage for tool execution by aggregating multiple servers.
Provides a local, persistent AI memory layer within your IDE to store project context and decisions across sessions.
Enables AI assistants to directly query Alibaba Cloud SLS logs with natural language, eliminating manual console navigation.
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