SQLite MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| connect_databaseC | Connect to a SQLite database file |
| list_tablesB | List all tables in the connected database |
| describe_tableB | Get the schema/structure of a specific table |
| query_dataC | Execute a SELECT query on the database |
| execute_queryC | Execute any SQL query (INSERT, UPDATE, DELETE, etc.) |
| get_table_infoB | Get comprehensive information about a table including schema, indexes, and sample data |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Multiple tools have overlapping purposes that could cause confusion. For example, 'describe_table' and 'get_table_info' both seem to provide table schema information, and 'execute_query' and 'query_data' both handle SQL queries with unclear boundaries (e.g., whether SELECT queries should use 'execute_query' or 'query_data'). This overlap makes it difficult for an agent to reliably choose the right tool.
The tool names follow a consistent verb_noun pattern throughout (e.g., connect_database, describe_table, execute_query), which is predictable and readable. There are no deviations in naming conventions, though the verbs could be more precise to reduce ambiguity.
With 6 tools, the server is well-scoped for interacting with SQLite databases. This count covers essential operations like connecting, listing tables, describing schemas, and executing queries, without being overly complex or too sparse. Each tool appears to earn its place in the set.
The tool set covers core database operations such as connection, table listing, schema inspection, and query execution, which are sufficient for most SQLite workflows. However, there is a minor gap in not having explicit tools for database management tasks like creating or dropping tables, though these could be handled via 'execute_query'. This does not significantly hinder agent functionality.