Search / io.github.Arun-kc/schemabrain
SchemaBrain
L0· runs locallyThe trust and intelligence layer between AI agents and your database.
v0.6.0 · active · repository · website · descriptor JSON · versions
Search / io.github.Arun-kc/schemabrain
L0· runs locallyThe trust and intelligence layer between AI agents and your database.
v0.6.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"schemabrain": {
"command": "uvx",
"args": [
"schemabrain==0.6.0",
"serve",
"--url-env",
"DATABASE_URL",
"--store-path",
"${store_path}"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}"
}
}
}
}claude mcp add schemabrain -e "DATABASE_URL=${DATABASE_URL}" -- uvx schemabrain==0.6.0 serve --url-env DATABASE_URL --store-path "${store_path}"[mcp_servers.schemabrain]
command = "uvx"
args = ["schemabrain==0.6.0", "serve", "--url-env", "DATABASE_URL", "--store-path", "${store_path}"]
env = { "DATABASE_URL" = "${DATABASE_URL}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"schemabrain": {
"type": "local",
"command": [
"uvx",
"schemabrain==0.6.0",
"serve",
"--url-env",
"DATABASE_URL",
"--store-path",
"{env:store_path}"
],
"enabled": true,
"environment": {
"DATABASE_URL": "{env:DATABASE_URL}"
}
}
}
}{
"mcpServers": {
"schemabrain": {
"command": "uvx",
"args": [
"schemabrain==0.6.0",
"serve",
"--url-env",
"DATABASE_URL",
"--store-path",
"${store_path}"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=schemabrain&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJzY2hlbWFicmFpbj09MC42LjAiLCJzZXJ2ZSIsIi0tdXJsLWVudiIsIkRBVEFCQVNFX1VSTCIsIi0tc3RvcmUtcGF0aCIsIiR7c3RvcmVfcGF0aH0iXSwiZW52Ijp7IkRBVEFCQVNFX1VSTCI6IiR7REFUQUJBU0VfVVJMfSJ9fQ%3D%3D"
}{
"servers": {
"schemabrain": {
"type": "stdio",
"command": "uvx",
"args": [
"schemabrain==0.6.0",
"serve",
"--url-env",
"DATABASE_URL",
"--store-path",
"${store_path}"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}"
}
}
}
}{
"mcpServers": {
"schemabrain": {
"command": "uvx",
"args": [
"schemabrain==0.6.0",
"serve",
"--url-env",
"DATABASE_URL",
"--store-path",
"${store_path}"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}"
}
}
}
}extensions:
"schemabrain":
enabled: true
name: "schemabrain"
type: stdio
cmd: "uvx"
args:
- "schemabrain==0.6.0"
- "serve"
- "--url-env"
- "DATABASE_URL"
- "--store-path"
- "${store_path}"
envs:
"DATABASE_URL": "${DATABASE_URL}"
timeout: 300
Placeholders to fill from your own secret store: ${DATABASE_URL}. 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 64 resolved packagesdeps.mcp_sdk_versionmcp 1.30.0, no known advisorydeps.resolvable[email protected] resolved: 64 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-128d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPI63 dependencies, resolved · MCP SDK mcp 1.30.0 · 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 |
|---|---|---|---|---|
schemabrain | pypi | 0.6.0 | uvx | DATABASE_URL |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.Arun-kc/schemabrain",
"icons": [
{
"src": "https://raw.githubusercontent.com/Arun-kc/schemabrain/main/docs/assets/mcp-icon.svg",
"sizes": [
"any"
],
"mimeType": "image/svg+xml"
}
],
"title": "SchemaBrain",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.6.0",
"packages": [
{
"version": "0.6.0",
"transport": {
"type": "stdio"
},
"identifier": "schemabrain",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"packageArguments": [
{
"type": "positional",
"value": "serve",
"valueHint": "subcommand"
},
{
"name": "--url-env",
"type": "named",
"value": "DATABASE_URL"
},
{
"name": "--store-path",
"type": "named",
"value": "{store_path}",
"variables": {
"store_path": {
"format": "filepath",
"default": "./schemabrain.db",
"isRequired": true,
"description": "Absolute path to the schemabrain SQLite store created by `schemabrain index`. Defaults to ./schemabrain.db."
}
}
}
],
"environmentVariables": [
{
"name": "DATABASE_URL",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "Postgres connection URL (postgresql+psycopg://USER:PASSWORD@HOST:PORT/DBNAME). The agent never sees this; the URL stays in the env so credentials never appear in argv or logs."
}
]
}
],
"repository": {
"id": "R_kgDOSZl0Cg",
"url": "https://github.com/Arun-kc/schemabrain",
"source": "github"
},
"websiteUrl": "https://schemabrain.mintlify.app",
"description": "The trust and intelligence layer between AI agents and your database."
}