Alternatives to SDGLBL/mcp-claude-code

](https://glama.ai/mcp/servers/yusufkaraaslan/Skill_Seekers) 🐍 🏠 🍎 🪟 🐧 - Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready ski

MCP server for Atlassian products, Confluence and Jira, supporting Confluence Cloud, Jira Cloud, and Jira Server/Data Center. It provides tools for searching, reading, creating, and updating Confluence pages and Jira issues, authenticated with Atlassian API tokens (or personal access tokens for Server/Data Center).

🐍 - MCP server integration for DaVinci Resolve providing powerful tools for video editing, color grading, media management, and project control

Official MCP server for dbt, giving AI agents context from dbt Core, dbt Fusion, and dbt Platform projects. Tools include execute_sql and text_to_sql for SQL, Semantic Layer tools such as list_metrics and query_metrics, Discovery API tools for models, sources, lineage, exposures, and model health, and dbt CLI tools such as build, compile, and docs.

🐍 🏠 - Read and analyze GitHub repositories with your LLM

🐍 ☁️ - Integrates with Notion's API to manage personal todo lists

🐍 🏠 - This server enables LLMs to use calculator for precise numerical calculations

🐍 ☁️ - Comprehensive async Python SDK for with MCP server support. Features 45 tools for tasks, projects, tags, habits, focus/pomodoro sessions, and user analytics.

🍎 Build iOS Xcode workspace/project and feed back errors to llm.

📇 🏠 - An implementation project of a JVM-based MCP (Model Context Protocol) server.

🐍 ☁️ – A Dockerized Python MCP server that bridges your local AI (e.g., Claude Desktop, etc) with the QuantConnect API—empowering you to create projects, backtest strategies, manage collaborators, an

MarkItDown is Microsoft's lightweight Python utility for converting files to Markdown for use with LLMs and text-analysis pipelines, and this repository includes the markitdown-mcp package that exposes the converter through MCP. It converts PDF, PowerPoint, Word, Excel, images (EXIF metadata and OCR), audio (EXIF metadata and speech transcription), HTML, text-based formats such as CSV, JSON, and XML, ZIP files, YouTube URLs, and EPUBs, preserving document structure such as headings, lists, tables, and links.