Search / io.github.datris/datris
Datris
L0· runs locallyThe data control plane for AI agents — acquire, validate, land, and query data over MCP.
v1.51.0 · active · repository · descriptor JSON · versions
Search / io.github.datris/datris
L0· runs locallyThe data control plane for AI agents — acquire, validate, land, and query data over MCP.
v1.51.0 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"datris": {
"command": "uvx",
"args": [
"datris-mcp-server==1.51.0"
],
"env": {
"DATRIS_API_URL": "${DATRIS_API_URL}",
"DATRIS_API_KEY": "${DATRIS_API_KEY}"
}
}
}
}claude mcp add datris -e "DATRIS_API_URL=${DATRIS_API_URL}" -e "DATRIS_API_KEY=${DATRIS_API_KEY}" -- uvx datris-mcp-server==1.51.0[mcp_servers.datris]
command = "uvx"
args = ["datris-mcp-server==1.51.0"]
env = { "DATRIS_API_URL" = "${DATRIS_API_URL}", "DATRIS_API_KEY" = "${DATRIS_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"datris": {
"type": "local",
"command": [
"uvx",
"datris-mcp-server==1.51.0"
],
"enabled": true,
"environment": {
"DATRIS_API_URL": "{env:DATRIS_API_URL}",
"DATRIS_API_KEY": "{env:DATRIS_API_KEY}"
}
}
}
}{
"mcpServers": {
"datris": {
"command": "uvx",
"args": [
"datris-mcp-server==1.51.0"
],
"env": {
"DATRIS_API_URL": "${DATRIS_API_URL}",
"DATRIS_API_KEY": "${DATRIS_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=datris&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJkYXRyaXMtbWNwLXNlcnZlcj09MS41MS4wIl0sImVudiI6eyJEQVRSSVNfQVBJX1VSTCI6IiR7REFUUklTX0FQSV9VUkx9IiwiREFUUklTX0FQSV9LRVkiOiIke0RBVFJJU19BUElfS0VZfSJ9fQ%3D%3D"
}{
"servers": {
"datris": {
"type": "stdio",
"command": "uvx",
"args": [
"datris-mcp-server==1.51.0"
],
"env": {
"DATRIS_API_URL": "${DATRIS_API_URL}",
"DATRIS_API_KEY": "${DATRIS_API_KEY}"
}
}
}
}{
"mcpServers": {
"datris": {
"command": "uvx",
"args": [
"datris-mcp-server==1.51.0"
],
"env": {
"DATRIS_API_URL": "${DATRIS_API_URL}",
"DATRIS_API_KEY": "${DATRIS_API_KEY}"
}
}
}
}extensions:
"datris":
enabled: true
name: "datris"
type: stdio
cmd: "uvx"
args:
- "datris-mcp-server==1.51.0"
envs:
"DATRIS_API_URL": "${DATRIS_API_URL}"
"DATRIS_API_KEY": "${DATRIS_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${DATRIS_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknownNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo ~liveness-unmeasured +updated-3d-ago -unpinned-packages(1)
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPIthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
datris-mcp-server | pypi | 1.51.0 | – | DATRIS_API_KEY |
docker.io/datrisai/datris-mcp-server:1.51.0 | oci | unpinned | docker | DATRIS_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.datris/datris",
"title": "Datris",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.51.0",
"packages": [
{
"version": "1.51.0",
"transport": {
"type": "stdio"
},
"identifier": "datris-mcp-server",
"registryType": "pypi",
"environmentVariables": [
{
"name": "DATRIS_API_URL",
"format": "string",
"isRequired": true,
"description": "URL of the Datris server API (default http://localhost:8080)"
},
{
"name": "DATRIS_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for the Datris server (only when USE_API_KEYS=true)"
}
]
},
{
"transport": {
"url": "http://localhost:3000/sse",
"type": "sse"
},
"identifier": "docker.io/datrisai/datris-mcp-server:1.51.0",
"runtimeHint": "docker",
"registryType": "oci",
"environmentVariables": [
{
"name": "DATRIS_API_URL",
"format": "string",
"isRequired": true,
"description": "URL of the Datris server API (default http://localhost:8080)"
},
{
"name": "DATRIS_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for the Datris server (only when USE_API_KEYS=true)"
}
]
}
],
"repository": {
"url": "https://github.com/datris/datris-platform-oss",
"source": "github"
},
"description": "The data control plane for AI agents — acquire, validate, land, and query data over MCP."
}