Tephra is answering right now. Last checked 14 min ago. Last commit 27 Oct 2026.
Shared memory for your AI tools: top-5 recall 98.9% on answerable LongMemEval-S questions. Premium.
We read the source, 5 d ago · rules 995398eba69f
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.
const child = spawn(command, args, { stdio: "inherit" });
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.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.
claude mcp add tephra --transport http https://tephra.obsidian-metrics.com/mcp
https://tephra.obsidian-metrics.com/mcp
[mcp_servers.tephra]
url = "https://tephra.obsidian-metrics.com/mcp"
{
"mcpServers": {
"tephra": {
"url": "https://tephra.obsidian-metrics.com/mcp"
}
}
}
{
"servers": {
"tephra": {
"type": "http",
"url": "https://tephra.obsidian-metrics.com/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://tephra.obsidian-metrics.com/mcp | streamable-http | needs auth | 104 ms | 14 min ago |
Local long-term memory shared by all your AI agents, kept word for word on your own PC.
Local long-term memory shared by all your AI agents, kept word for word on your own PC.
Shared local memory for AI coding tools that stays true to your code.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
Local-first shared memory for AI tools. Your files, encrypted at rest by default; budgeted reads.
Your product team's shared strategic memory — an MCP server your AI tools reason over.
Shared local memory for AI coding tools that stays true to your code.
Local memory your AI tools share: decisions, notes and corrections that carry across sessions.
Answers built from our own checks of this server.