Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured
Local Onlydesigncomputer
Awaiting current scanPypi · 0.4.4
The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.
1Distribution channel
3Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence
Detailed security scan evidence is not public for this MCP yet. Public identity, registry metadata, and independently observed protocol inventory remain available.
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Current version evidence
No public current-version evidence is available yet.
Current protocol inventory
2025-06-18Negotiated protocol
mysql_mcp_serverServer-reported name
4Capability groups
Aug 21, 2026Observed
Tools 3
Tool
Category
Annotations
Risk
execute_sqlExecute a SQL statement against the MySQL server. Use for SELECT, DML (INSERT/UPDATE/DELETE), SHOW, DESCRIBE, and ad-hoc queries. Supports cross-database queries using database.table notation. Single statements only — use fully qualified names instead of USE statements.Input schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL statement to execute. Single statements only."
}
},
"required": [
"query"
]
}
get_schema_infoGet column metadata for a table or all tables in the configured database: column names, data types, nullability, default values, and comments. Call this before querying an unfamiliar table. Omit table_name to see all tables at once. Accepts bare table names (uses MYSQL_DATABASE) or database.table for cross-database lookups.Input schema
{
"type": "object",
"properties": {
"table_name": {
"type": "string",
"description": "Optional: bare table name, or database.table for a cross-database lookup."
}
}
}
get_table_sampleFetch a small sample of rows from a table to understand its data format and content. Use alongside get_schema_info before writing complex queries. Accepts bare table names (uses MYSQL_DATABASE) or database.table for cross-database lookups.Input schema
{
"type": "object",
"properties": {
"table_name": {
"type": "string",
"description": "Table to sample. Use database.table notation for cross-database queries."
},
"limit": {
"type": "integer",
"description": "Number of rows to return (default 5, max 20)."
}
},
"required": [
"table_name"
]
}