Model Context Protocol (MCP) server providing comprehensive Angular documentation access for AI assistants
Model Context Protocol (MCP) server providing comprehensive Angular documentation access for AI assistants. That is what the angular mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
A Model Context Protocol (MCP) server that provides comprehensive access to Angular documentation, enabling AI assistants to search and retrieve Angular-related information with intelligent relevance scoring.
Installation goes through your MCP client rather than a global install: point it at npm on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
The server publishes 1 tool. What each one is for:
Scripts — The Scripts tool exposed by this serverPlenty 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. Angular's toolset — Scripts — is a fair guide to whether it matches your workflow. It is maintained by SAIPRANAY-GANGULA; 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.
| Tool | What it does |
|---|---|
| Scripts | The Scripts tool exposed by this server. |
{
"mcpServers": {
"angular-docs": {
"command": "npx",
"args": ["angular-mcp-server"]
}
}
}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.