Anthropic sent a trademark take down notice for claudekeep, so this little experiment is over. The code remains available in case its useful for
Anthropic sent a trademark take down notice for claudekeep, so this little experiment is over. The code remains available in case its useful for anyone working with MCP. Exposed over MCP by the claudekeep 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.
You will need 2 environment variables: CLAUDEKEEP_TOKEN, YOUR_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of AI and media services 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. It is maintained by sdairs; 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": {
"claudekeep-mcp": {
"command": "npx",
"args": [
"-y",
"claudekeep-mcp"
],
"env": {
"CLAUDEKEEP_TOKEN": "<YOUR_TOKEN>"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| CLAUDEKEEP_TOKEN | Credential the server authenticates with. | Yes |
| YOUR_TOKEN | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
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The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.