Search / io.github.aidancorrell/spark-sql-mcp-server
Spark SQL
L0· runs locallyQuery Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala.
v0.1.2 · active · repository · descriptor JSON · versions
Search / io.github.aidancorrell/spark-sql-mcp-server
L0· runs locallyQuery Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala.
v0.1.2 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"spark-sql-mcp-server": {
"command": "uvx",
"args": [
"spark-sql-mcp-server==0.1.2"
],
"env": {
"SPARK_HOST": "${SPARK_HOST}",
"SPARK_PASSWORD": "${SPARK_PASSWORD}"
}
}
}
}claude mcp add spark-sql-mcp-server -e "SPARK_HOST=${SPARK_HOST}" -e "SPARK_PASSWORD=${SPARK_PASSWORD}" -- uvx spark-sql-mcp-server==0.1.2[mcp_servers.spark-sql-mcp-server]
command = "uvx"
args = ["spark-sql-mcp-server==0.1.2"]
env = { "SPARK_HOST" = "${SPARK_HOST}", "SPARK_PASSWORD" = "${SPARK_PASSWORD}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"spark-sql-mcp-server": {
"type": "local",
"command": [
"uvx",
"spark-sql-mcp-server==0.1.2"
],
"enabled": true,
"environment": {
"SPARK_HOST": "{env:SPARK_HOST}",
"SPARK_PASSWORD": "{env:SPARK_PASSWORD}"
}
}
}
}{
"mcpServers": {
"spark-sql-mcp-server": {
"command": "uvx",
"args": [
"spark-sql-mcp-server==0.1.2"
],
"env": {
"SPARK_HOST": "${SPARK_HOST}",
"SPARK_PASSWORD": "${SPARK_PASSWORD}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=spark-sql-mcp-server&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJzcGFyay1zcWwtbWNwLXNlcnZlcj09MC4xLjIiXSwiZW52Ijp7IlNQQVJLX0hPU1QiOiIke1NQQVJLX0hPU1R9IiwiU1BBUktfUEFTU1dPUkQiOiIke1NQQVJLX1BBU1NXT1JEfSJ9fQ%3D%3D"
}{
"servers": {
"spark-sql-mcp-server": {
"type": "stdio",
"command": "uvx",
"args": [
"spark-sql-mcp-server==0.1.2"
],
"env": {
"SPARK_HOST": "${SPARK_HOST}",
"SPARK_PASSWORD": "${SPARK_PASSWORD}"
}
}
}
}{
"mcpServers": {
"spark-sql-mcp-server": {
"command": "uvx",
"args": [
"spark-sql-mcp-server==0.1.2"
],
"env": {
"SPARK_HOST": "${SPARK_HOST}",
"SPARK_PASSWORD": "${SPARK_PASSWORD}"
}
}
}
}extensions:
"spark-sql-mcp-server":
enabled: true
name: "spark-sql-mcp-server"
type: stdio
cmd: "uvx"
args:
- "spark-sql-mcp-server==0.1.2"
envs:
"SPARK_HOST": "${SPARK_HOST}"
"SPARK_PASSWORD": "${SPARK_PASSWORD}"
timeout: 300
Placeholders to fill from your own secret store: ${SPARK_PASSWORD}. 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_vulnsno known advisory in 34 resolved packagesdeps.mcp_sdk_versionmcp 2.2.0, no known advisorydeps.resolvable[email protected] resolved: 34 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 -stale-252d
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPI33 dependencies, resolved · MCP SDK mcp 2.2.0 · advisories checked 2026-10-19
No known advisory affects this dependency graph.
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 |
|---|---|---|---|---|
spark-sql-mcp-server | pypi | 0.1.2 | – | SPARK_PASSWORD |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.aidancorrell/spark-sql-mcp-server",
"title": "Spark SQL",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.2",
"packages": [
{
"version": "0.1.2",
"transport": {
"type": "stdio"
},
"identifier": "spark-sql-mcp-server",
"registryType": "pypi",
"environmentVariables": [
{
"name": "SPARK_HOST",
"format": "string",
"isRequired": true,
"description": "Hostname of the Spark Thrift Server"
},
{
"name": "SPARK_PORT",
"format": "number",
"description": "Port of the Spark Thrift Server (default: 10000)"
},
{
"name": "SPARK_DATABASE",
"format": "string",
"description": "Default database to use"
},
{
"name": "SPARK_AUTH",
"format": "string",
"description": "Authentication method: NONE, LDAP, KERBEROS, CUSTOM, or NOSASL"
},
{
"name": "SPARK_USERNAME",
"format": "string",
"description": "Username for LDAP authentication"
},
{
"name": "SPARK_PASSWORD",
"format": "string",
"isSecret": true,
"description": "Password for LDAP authentication"
},
{
"name": "SPARK_KERBEROS_SERVICE_NAME",
"format": "string",
"description": "Kerberos service name (default: hive)"
}
]
}
],
"repository": {
"url": "https://github.com/aidancorrell/spark-sql-mcp-server",
"source": "github"
},
"description": "Query Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala."
}