Chronos Protocol transforms AI development workflows by eliminating temporal blindness in automated systems. The MCP server provides complete
Chronos Protocol transforms AI development workflows by eliminating temporal blindness in automated systems. The MCP server provides complete traceability and session continuity, enabling AI agents to maintain context across sessions while. Exposed over MCP by the chronos protocol mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Everything the assistant can do here goes through one of these:
Per — project mode isolates memory usageArchitecture — The Architecture tool exposed by this serverPrerequisites — The Prerequisites 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. Chronos Protocol's toolset — Per, Architecture, Prerequisites — is a fair guide to whether it matches your workflow. It is maintained by n0zer0d4y; 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 |
|---|---|
| Per | project mode isolates memory usage |
| Architecture | The Architecture tool exposed by this server. |
| Prerequisites | The Prerequisites tool exposed by this server. |
{
"mcpServers": {
"chronos-protocol": {
"command": "python",
"args": [
"-m",
"chronos_protocol",
"--storage-mode",
"per-project",
"--project-root",
"${workspaceFolder}",
"--id-format",
"custom"
]
}
}
}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.