Local-first AI PKM memory for coding conversations.
Connect ChatCrystal to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Local-first AI PKM memory for coding conversations. The chatcrystal mcp server is what makes that connection.
ChatCrystal is a local-first AI PKM app for developers who solve real problems with Claude Code, Cursor, Codex CLI, Trae, and GitHub Copilot.
chatcrystal on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Configuration is passed through the environment: CHATCRYSTAL_API_TOKEN, CHATCRYSTAL_DOCKER_LLM_BASE_URL, CHATCRYSTAL_DOCKER_EMBEDDING_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by ZengLiangYi; 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": {
"chatcrystal": {
"command": "npx",
"args": ["-y", "chatcrystal"],
"env": {
"CHATCRYSTAL_API_TOKEN": "your-value",
"CHATCRYSTAL_DOCKER_LLM_BASE_URL": "your-value",
"CHATCRYSTAL_DOCKER_EMBEDDING_BASE_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| CHATCRYSTAL_API_TOKEN | Credential the server authenticates with. | Yes |
| CHATCRYSTAL_DOCKER_LLM_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| CHATCRYSTAL_DOCKER_EMBEDDING_BASE_URL | Endpoint or connection string the server talks to. | Yes |
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.