mcp▌

This skill provides a complete reference for all tools available through GrepAI's MCP server.

Standardized MCP server implementation patterns with LangChain4j for extending AI capabilities. \n \n Provides tool providers, resource providers, and prompt template patterns to expose custom capabilities through the Model Context Protocol \n Supports multiple transport mechanisms including stdio for local processes and HTTP for remote servers \n Includes Spring Boot integration, multi-server configuration, and dynamic tool discovery with context-aware filtering \n Implements security patterns

Persistent, searchable memory bank for AI agents with automatic project documentation sync. \n \n Provides four core MCP tools: memory_search for querying by text/type/tags, memory_write for recording knowledge and decisions, memory_read for retrieving specific entries, and memory_stats for usage analytics \n Organizes memories by type (architecture, patterns, decisions) and supports custom tagging for flexible retrieval and organization \n Runs as an MCP server that syncs with your project work

When the user asks about libraries, frameworks, or needs code examples, use Context7 to fetch current documentation instead of relying on training data.

Four MCP tools for safe SQL execution and security rule management on CloudBase Relational Database. \n \n Four tools cover all agent operations: executeReadOnlySQL for SELECT queries, executeWriteSQL for INSERT/UPDATE/DELETE/DDL, readSecurityRule to inspect permissions, and writeSecurityRule to update access controls \n Use MCP tools exclusively in agent context; do not initialize CloudBase SDKs when these tools are available \n Always run read-only SELECTs first to verify assumptions before de

AI-powered documentation search and Q&A for GitHub repositories via DeepWiki. \n \n Three command modes: ask natural-language questions about repository code and docs, browse wiki structure and topics, or read full documentation contents \n Supports single or multiple repositories (up to 10) in a single query for comparative analysis \n AI-generated answers are grounded in actual repository documentation, with minimum 1-minute timeout for response generation \n Works with any public GitHub

Need to login to the Lark MCP Configuration Platform to add MCP services, obtain the MCP URL, and configure it into environment variables.

Connect AI agents to GraphQL APIs through the Model Context Protocol with built-in introspection and operation tools. \n \n Exposes GraphQL operations as MCP tools; supports three operation sources: local files, GraphOS Studio collections, and persisted query manifests \n Provides four introspection tools (introspect, search, validate, execute) for schema exploration and ad-hoc query testing; minification mode reduces token usage with compact notation \n Configurable authentication via static he

Automate Excel workbooks on Windows with 226 COM-based operations covering data, formulas, tables, Power Query, and DAX. \n \n Supports full Excel object model: ranges, tables, worksheets, PivotTables, charts, slicers, conditional formatting, and VBA macro execution \n Includes Power Query (M code evaluation and creation) and Data Model (DAX measures) for advanced analytics workflows \n Provides calculation mode control for batch write performance optimization when handling large data volumes \n

이 스킬이 호출되면 아래 STOP PROTOCOL을 반드시 따른다.