Search / io.github.karlmehta/trustmodel-mcp
trustmodel-mcp
L0· runs locallyScore any AI for trust across 10 dimensions; evaluate, monitor & govern LLMs and agents.
v0.2.0 · active · repository · descriptor JSON · versions
Search / io.github.karlmehta/trustmodel-mcp
L0· runs locallyScore any AI for trust across 10 dimensions; evaluate, monitor & govern LLMs and agents.
v0.2.0 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"trustmodel-mcp": {
"command": "npx",
"args": [
"-y",
"@trustmodel/[email protected]"
],
"env": {
"TRUSTMODEL_API_KEY": "${TRUSTMODEL_API_KEY}"
}
}
}
}claude mcp add trustmodel-mcp -e "TRUSTMODEL_API_KEY=${TRUSTMODEL_API_KEY}" -- npx -y @trustmodel/[email protected][mcp_servers.trustmodel-mcp]
command = "npx"
args = ["-y", "@trustmodel/[email protected]"]
env = { "TRUSTMODEL_API_KEY" = "${TRUSTMODEL_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"trustmodel-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@trustmodel/[email protected]"
],
"enabled": true,
"environment": {
"TRUSTMODEL_API_KEY": "{env:TRUSTMODEL_API_KEY}"
}
}
}
}{
"mcpServers": {
"trustmodel-mcp": {
"command": "npx",
"args": [
"-y",
"@trustmodel/[email protected]"
],
"env": {
"TRUSTMODEL_API_KEY": "${TRUSTMODEL_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=trustmodel-mcp&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkB0cnVzdG1vZGVsL21jcC1zZXJ2ZXJAMC4yLjAiXSwiZW52Ijp7IlRSVVNUTU9ERUxfQVBJX0tFWSI6IiR7VFJVU1RNT0RFTF9BUElfS0VZfSJ9fQ%3D%3D"
}{
"servers": {
"trustmodel-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@trustmodel/[email protected]"
],
"env": {
"TRUSTMODEL_API_KEY": "${TRUSTMODEL_API_KEY}"
}
}
}
}{
"mcpServers": {
"trustmodel-mcp": {
"command": "npx",
"args": [
"-y",
"@trustmodel/[email protected]"
],
"env": {
"TRUSTMODEL_API_KEY": "${TRUSTMODEL_API_KEY}"
}
}
}
}extensions:
"trustmodel-mcp":
enabled: true
name: "trustmodel-mcp"
type: stdio
cmd: "npx"
args:
- "-y"
- "@trustmodel/[email protected]"
envs:
"TRUSTMODEL_API_KEY": "${TRUSTMODEL_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${TRUSTMODEL_API_KEY}. The registry never accepts secret values.
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_vulns3 advisories to act on (malicious, or rated high or critical with a fix available): GHSA-2883-xcg3-v3hh in [email protected] (indirect, fixed in 4.3.2), GHSA-52cp-r559-cp3m in [email protected] (indirect, fixed in 4.3.0), GHSA-5p4m-2wfm-xmqj in [email protected] (indirect, fixed in 4.3.1); 1 more of lower severity or without a fixdeps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 1 known advisory (GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.31.0 or laterdeps.resolvable@trustmodel/[email protected] resolved: 111 packagesNo 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 ~liveness-unmeasured ~updated-131d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
@trustmodel/[email protected] npm110 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.31.0 |
| GHSA-2883-xcg3-v3hhjs-yaml: maxTotalMergeKeys does not limit CPU use for empty merge sources | high | [email protected]indirect | fixed in 4.3.2 |
| GHSA-52cp-r559-cp3mjs-yaml: YAML merge-key chains can force quadratic CPU consumption | high | [email protected]indirect | fixed in 4.3.0 |
| GHSA-5p4m-2wfm-xmqjJS-YAML: Quadratic CPU consumption in !!omap resolution (3.x and 4.x) — CVE-2026-59870 fix not backported | high | [email protected]indirect | fixed in 4.3.1 |
| GHSA-h67p-54hq-rp68JS-YAML: Quadratic-complexity DoS in merge key handling via repeated aliases | moderate | [email protected]indirect | fixed in 4.2.0 |
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 |
|---|---|---|---|---|
@trustmodel/mcp-server | npm | 0.2.0 | – | TRUSTMODEL_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.karlmehta/trustmodel-mcp",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.2.0",
"packages": [
{
"version": "0.2.0",
"transport": {
"type": "stdio"
},
"identifier": "@trustmodel/mcp-server",
"registryType": "npm",
"environmentVariables": [
{
"name": "TRUSTMODEL_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "TrustModel API key (get one at https://trustmodel.ai)"
},
{
"name": "TRUSTMODEL_BASE_URL",
"format": "string",
"description": "Override the TrustModel API base URL (optional)"
}
]
}
],
"repository": {
"url": "https://github.com/karlmehta/trustmodel-mcp",
"source": "github"
},
"description": "Score any AI for trust across 10 dimensions; evaluate, monitor & govern LLMs and agents."
}