Loading…
Calibrated advice for coding agents: typed questions in, probabilities out. Apple Silicon.
ember is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding ember to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx ember-advise==0.16.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-14T00:58:15.846351Z",
"publishedAt": "2026-10-14T00:58:15.846351Z",
"statusChangedAt": "2026-10-14T00:58:15.846351Z"
}
},
"server": {
"name": "io.github.shapeandshare/ember",
"title": "ember",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.16.0",
"packages": [
{
"version": "0.16.0",
"transport": {
"type": "stdio"
},
"identifier": "ember-advise",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"packageArguments": [
{
"type": "positional",
"value": "mcp"
}
],
"runtimeArguments": [
{
"name": "--python",
"type": "named",
"value": "3.12"
}
],
"environmentVariables": [
{
"name": "EMBER_SERVER_URL",
"description": "Inference endpoint; defaults to the local model server at http://127.0.0.1:8765"
},
{
"name": "EMBER_AUTH_TOKEN",
"isSecret": true,
"description": "Credential for a remote inference endpoint"
}
]
}
],
"repository": {
"url": "https://github.com/shapeandshare/ember",
"source": "github"
},
"websiteUrl": "https://shapeandshare.github.io/ember/",
"description": "Calibrated advice for coding agents: typed questions in, probabilities out. Apple Silicon."
}
}