Tentra — Memory for AI Coding Agents MCP Server

by rdanieli Your server? Claim it

not responding

Tentra — Memory for AI Coding Agents is listed as active in the registry but did not answer our last check. 36 installs a week from npm. Last commit 11 Jun 2026.

Memory for AI coding agents. Call graphs + refactor safety + persistent code context. 35 MCP tools.

Installs per day peak 25 · avg 10 · -27% w/w

a month agotoday

Uptime history 51 days of history · worst day 0%

51 days agonow

0.0%

Uptime 24h

0 of 92 checks

—

Tools

hidden behind auth

360 ms

Response time

average over 24h

Installs / week

npm and PyPI

Tentra — Memory for AI Coding Agents does not always answer

Over the last week it answered 0.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add tentra --transport http https://trytentra.com/api/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "tentra": {
      "url": "https://trytentra.com/api/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.tentra]
url = "https://trytentra.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "tentra": {
      "url": "https://trytentra.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "tentra": {
      "url": "https://trytentra.com/api/mcp"
    }
  }
}

This one needs environment variables set before it will start: TENTRA_API_KEY (Tentra API key (optional — device flow auth via GitHub is used by default)). The author declared them in the registry entry; get the values from the project itself.

Endpoints

URL	Transport	State	Latency	Checked
https://trytentra.com/api/mcp	sse	answering	360 ms	2 min ago

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Tentra — Memory for AI Coding Agents — questions

Answers built from our own checks of this server.

Is Tentra — Memory for AI Coding Agents working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 92 checks got a reply (0.0%), average response time 360 ms. The bar chart above shows every period we have measured.

The registry lists Tentra — Memory for AI Coding Agents as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect Tentra — Memory for AI Coding Agents?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Tentra — Memory for AI Coding Agents need an API key?

No. Tentra — Memory for AI Coding Agents completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. This is what we observed, not what the docs claim.

How many people use Tentra — Memory for AI Coding Agents?

The npm package tentra-mcp was installed 36 times in the last week. Week over week that is -27%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Tentra — Memory for AI Coding Agents open source?

Yes — it is published under the MIT licence, written in TypeScript and 5 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.