Agents make claims, Reelier writes receipts - record an agent workflow once, replay it deterministically at 0 tokens, and get an asserted receipt on
Connect Reelier to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Agents make claims, Reelier writes receipts - record an agent workflow once, replay it deterministically at 0 tokens, and get an asserted receipt on every run. The reelier mcp server is what makes that connection.
Reelier records the run that worked, freezes it as a replayable skill, and replays it deterministically — every run comes back as a receipt: proof of what the agent did and what changed because of it. Agents make claims. Reelier writes receipts.
reelier on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Configuration is passed through the environment: REELIER_CLOUD_URL, REELIER_CLOUD_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by seldonframe; 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": {
"reelier": {
"command": "npx",
"args": ["-y", "reelier"],
"env": {
"REELIER_CLOUD_URL": "your-value",
"REELIER_CLOUD_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| REELIER_CLOUD_URL | Endpoint or connection string the server talks to. | Yes |
| REELIER_CLOUD_KEY | 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.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.