Search / io.github.dumbspacecookie/openeye
openeye
L0· runs locallyProcedure verification for AR/XR with memory, visual sessions, and DPO trajectory export.
v0.1.1 · active · repository · website · descriptor JSON · versions
Search / io.github.dumbspacecookie/openeye
L0· runs locallyProcedure verification for AR/XR with memory, visual sessions, and DPO trajectory export.
v0.1.1 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"openeye": {
"command": "python3",
"args": [
"sidecar/mcp_server.py",
"@dumbspacecookie/openeye"
],
"env": {
"ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}",
"OPENEYE_CONTEXT_OPTIN": "false",
"OPENEYE_CONTEXT_API_KEY": "${OPENEYE_CONTEXT_API_KEY}"
}
}
}
}claude mcp add openeye -e "ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}" -e "OPENEYE_CONTEXT_OPTIN=false" -e "OPENEYE_CONTEXT_API_KEY=${OPENEYE_CONTEXT_API_KEY}" -- python3 sidecar/mcp_server.py @dumbspacecookie/openeye[mcp_servers.openeye]
command = "python3"
args = ["sidecar/mcp_server.py", "@dumbspacecookie/openeye"]
env = { "ANTHROPIC_API_KEY" = "${ANTHROPIC_API_KEY}", "OPENEYE_CONTEXT_OPTIN" = "false", "OPENEYE_CONTEXT_API_KEY" = "${OPENEYE_CONTEXT_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"openeye": {
"type": "local",
"command": [
"python3",
"sidecar/mcp_server.py",
"@dumbspacecookie/openeye"
],
"enabled": true,
"environment": {
"ANTHROPIC_API_KEY": "{env:ANTHROPIC_API_KEY}",
"OPENEYE_CONTEXT_OPTIN": "false",
"OPENEYE_CONTEXT_API_KEY": "{env:OPENEYE_CONTEXT_API_KEY}"
}
}
}
}{
"mcpServers": {
"openeye": {
"command": "python3",
"args": [
"sidecar/mcp_server.py",
"@dumbspacecookie/openeye"
],
"env": {
"ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}",
"OPENEYE_CONTEXT_OPTIN": "false",
"OPENEYE_CONTEXT_API_KEY": "${OPENEYE_CONTEXT_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=openeye&config=eyJjb21tYW5kIjoicHl0aG9uMyIsImFyZ3MiOlsic2lkZWNhci9tY3Bfc2VydmVyLnB5IiwiQGR1bWJzcGFjZWNvb2tpZS9vcGVuZXllIl0sImVudiI6eyJBTlRIUk9QSUNfQVBJX0tFWSI6IiR7QU5USFJPUElDX0FQSV9LRVl9IiwiT1BFTkVZRV9DT05URVhUX09QVElOIjoiZmFsc2UiLCJPUEVORVlFX0NPTlRFWFRfQVBJX0tFWSI6IiR7T1BFTkVZRV9DT05URVhUX0FQSV9LRVl9In19"
}{
"servers": {
"openeye": {
"type": "stdio",
"command": "python3",
"args": [
"sidecar/mcp_server.py",
"@dumbspacecookie/openeye"
],
"env": {
"ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}",
"OPENEYE_CONTEXT_OPTIN": "false",
"OPENEYE_CONTEXT_API_KEY": "${OPENEYE_CONTEXT_API_KEY}"
}
}
}
}{
"mcpServers": {
"openeye": {
"command": "python3",
"args": [
"sidecar/mcp_server.py",
"@dumbspacecookie/openeye"
],
"env": {
"ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}",
"OPENEYE_CONTEXT_OPTIN": "false",
"OPENEYE_CONTEXT_API_KEY": "${OPENEYE_CONTEXT_API_KEY}"
}
}
}
}extensions:
"openeye":
enabled: true
name: "openeye"
type: stdio
cmd: "python3"
args:
- "sidecar/mcp_server.py"
- "@dumbspacecookie/openeye"
envs:
"ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}"
"OPENEYE_CONTEXT_OPTIN": "false"
"OPENEYE_CONTEXT_API_KEY": "${OPENEYE_CONTEXT_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${ANTHROPIC_API_KEY}, ${OPENEYE_CONTEXT_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_vulns1 advisory to act on (malicious, or rated high or critical with a fix available): GHSA-c475-qrg2-pj4r in [email protected] (indirect, fixed in 6.2.1)deps.mcp_sdk_versionthe official MCP SDK is not in the dependency graphdeps.resolvable@dumbspacecookie/[email protected] resolved: 112 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 +website ~liveness-unmeasured ~updated-153d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
@dumbspacecookie/[email protected] npm111 dependencies, resolved · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-c475-qrg2-pj4rbasic-ftp: Quadratic-time CPU denial of service in Client.list() Unix directory-listing parser (RE_LINE backtracking) | high | [email protected]indirect | fixed in 6.2.1 |
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 |
|---|---|---|---|---|
@dumbspacecookie/openeye | npm | 0.1.1 | python3 | ANTHROPIC_API_KEY, OPENEYE_CONTEXT_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.dumbspacecookie/openeye",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
"version": "0.1.1",
"packages": [
{
"version": "0.1.1",
"transport": {
"type": "stdio"
},
"identifier": "@dumbspacecookie/openeye",
"runtimeHint": "python3",
"registryType": "npm",
"runtimeArguments": [
{
"type": "positional",
"value": "sidecar/mcp_server.py"
}
],
"environmentVariables": [
{
"name": "ANTHROPIC_API_KEY",
"isSecret": true,
"isRequired": true,
"description": "Anthropic API key for the agent. Required because the default OpenEye agent uses Claude. Swap providers via src/models.ts if you want OPENAI/GROQ/GEMINI/etc."
},
{
"name": "OPENEYE_CONTEXT_OPTIN",
"default": "false",
"description": "Set true to opt in to sharing trajectory data with Context's training pipeline. Default off. Loud opt-in by design — read docs/context-data.md before flipping."
},
{
"name": "OPENEYE_CONTEXT_API_KEY",
"isSecret": true,
"description": "Context API key. Only needed if OPENEYE_CONTEXT_OPTIN is true."
}
]
}
],
"repository": {
"url": "https://github.com/dumbspacecookie/openeye",
"source": "github"
},
"websiteUrl": "https://github.com/dumbspacecookie/openeye",
"description": "Procedure verification for AR/XR with memory, visual sessions, and DPO trajectory export."
}