Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.
A self-hosted MCP server that exposes Jira and Confluence Cloud to MCP clients, enabling issue tracking, search, creation, and Confluence page management via natural language.
This MCP server provides unified read/write access to Jira Cloud tickets and Confluence Cloud pages, enabling search, retrieval, and updates. It automatically downloads log attachments from tickets into a shared directory for the companion Log Intelligence MCP to ingest.
Enables interaction with Confluence Cloud pages, spaces, content, media, and navigation via natural language, with session-based editing and native macro support.
Enables Claude Desktop to search, read, and update Confluence Cloud pages, spaces, attachments, comments, and version history through the Confluence REST API v1 and v2 using local stdio.
Enables unauthenticated MCP access to Google Cloud documentation by proxying requests to the Developer Knowledge API, allowing coding agents to query docs without direct Google authentication.
Enables Claude Code and other MCP clients to run live JQL and CQL searches and read Jira Cloud issues, comments, and Confluence Cloud pages on your own machine, with no local index and nothing cached outside those products. Access is read-only and scoped to your own Atlassian account permissions.
Local document intelligence for AI agents — extract text, detect tables, read metadata, analyze structure, search keywords, and detect language from PDF and DOCX files. No cloud API required, no API key needed.
Enables MCP clients to locally search, retrieve, and summarize project documentation using Ollama models, without cloud usage, while managing requests through a queue and optional model prewarming.
Enables AI assistants to read Confluence Cloud pages as markdown, browse page trees, download image attachments, and diff content against local documentation.
MCP server providing Salesforce Marketing Cloud language intelligence — AMPscript, SSJS, and GTL — as Model Context Protocol tools, resources, and prompts for AI-assisted development and code review.