Elesync runs on your own machine — the client starts it, so there is no endpoint to ping. 105 installs a week from pypi.
Private local-first AI workspace for shared context, knowledge, tasks, and memories
The linked repository no longer exists on GitHub — it was deleted or made private.
We have not read this server's code yet, 59 d ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
этот файл ставится пользователю, но в репозитории его нет
subprocess.check_call(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add elesync -- uvx elesync
{
"mcpServers": {
"elesync": {
"command": "uvx",
"args": [
"elesync"
]
}
}
}
[mcp_servers.elesync]
command = "uvx"
args = ["elesync"]
{
"mcpServers": {
"elesync": {
"command": "uvx",
"args": [
"elesync"
]
}
}
}
{
"servers": {
"elesync": {
"type": "stdio",
"command": "uvx",
"args": [
"elesync"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
ELESYNC_DIR (Vault directory (default: ~/EleSyncVault)).
AI workspace — shared knowledge, skills, and tools for AI agents
Shared memory and teamwork for AI agents: knowledge base, memories, tasks, encrypted vault.
One shared memory for all your AI agents: documents, tasks, databases and memories in one workspace
Connect AI agents to shared Spaces for context, sourced work, tasks, and runs.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
Private Agent memory and governed shared knowledge.
Persistent AI memory with shared team workspaces, typed knowledge chunks, and cross-tool support.
Private AI context layer for semantic code search, dependency graphs, memory, and workspaces.
Answers built from our own checks of this server.