DPML-powered AI prompt framework - Revolutionary AI-First CLI system based on Deepractice Prompt Markup Language. Build sophisticated AI agents with
DPML-powered AI prompt framework - Revolutionary AI-First CLI system based on Deepractice Prompt Markup Language. Build sophisticated AI agents with structured prompts, memory systems, and execution frameworks. That is what the promptx mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Installation goes through your MCP client rather than a global install: point it at deepracticexs/promptx on a container image and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by Deepractice; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"promptx": {
"type": "streamable-http",
"url": "http://127.0.0.1:5203/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.