Search / io.github.juyterman1000/entroly
Entroly
L0· runs locallyContext Assurance for AI agents: context engineering, AI cost optimization, verification.
v1.0.86 · active · repository · website · descriptor JSON · versions
Search / io.github.juyterman1000/entroly
L0· runs locallyContext Assurance for AI agents: context engineering, AI cost optimization, verification.
v1.0.86 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"entroly": {
"command": "uvx",
"args": [
"entroly==1.0.86"
]
}
}
}claude mcp add entroly -- uvx entroly==1.0.86[mcp_servers.entroly]
command = "uvx"
args = ["entroly==1.0.86"]
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"entroly": {
"type": "local",
"command": [
"uvx",
"entroly==1.0.86"
],
"enabled": true
}
}
}{
"mcpServers": {
"entroly": {
"command": "uvx",
"args": [
"entroly==1.0.86"
]
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=entroly&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJlbnRyb2x5PT0xLjAuODYiXX0%3D"
}{
"servers": {
"entroly": {
"type": "stdio",
"command": "uvx",
"args": [
"entroly==1.0.86"
]
}
}
}{
"mcpServers": {
"entroly": {
"command": "uvx",
"args": [
"entroly==1.0.86"
]
}
}
}extensions:
"entroly":
enabled: true
name: "entroly"
type: stdio
cmd: "uvx"
args:
- "entroly==1.0.86"
timeout: 300
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns, deps.mcp_sdk_version, deps.resolvabledeps.dev does not know [email protected], [email protected]No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-16d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPIthis version is not known to the dependency resolver
[email protected] npmthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
entroly | pypi | 1.0.86 | uvx | |
entroly-mcp | npm | 1.0.86 | npx |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.juyterman1000/entroly",
"title": "Entroly",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.86",
"packages": [
{
"version": "1.0.86",
"transport": {
"type": "stdio"
},
"identifier": "entroly",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "ENTROLY_MCP_PROFILE",
"value": "public"
},
{
"name": "ENTROLY_MCP_PASSIVE",
"value": "1"
},
{
"name": "ENTROLY_NO_DOCKER",
"value": "1"
}
]
},
{
"version": "1.0.86",
"transport": {
"type": "stdio"
},
"identifier": "entroly-mcp",
"runtimeHint": "npx",
"registryType": "npm",
"registryBaseUrl": "https://registry.npmjs.org",
"environmentVariables": [
{
"name": "ENTROLY_MCP_PROFILE",
"value": "public"
},
{
"name": "ENTROLY_MCP_PASSIVE",
"value": "1"
},
{
"name": "ENTROLY_NO_DOCKER",
"value": "1"
}
]
}
],
"repository": {
"url": "https://github.com/juyterman1000/entroly",
"source": "github"
},
"websiteUrl": "https://github.com/juyterman1000/entroly",
"description": "Context Assurance for AI agents: context engineering, AI cost optimization, verification."
}