MCP Analyst
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| file_location | Yes | Path to CSV or Parquet files (supports glob patterns) |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_files_listB | Get the list of files that are source of data |
| get_schemaB | Get the schema of a single data file from the given file location |
| execute_polars_sqlB | Reads the data from the given file locations. Note that file_locations
can be a list of multiple files. However, all files must have the same schema
and the same columns. Executes the given polars sql query and returns the result.
Note that the polars sql query must use the table name as |
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 3 tools
Each tool has a distinct purpose: listing files, inspecting schema, and executing SQL queries. No overlap or ambiguity.
All names use snake_case with a verb_noun pattern. Two tools start with 'get_', while 'execute_polars_sql' uses 'execute_', which is a slight inconsistency but still predictable.
3 tools is slightly low but appropriate for a focused analysis server covering file discovery, schema inspection, and query execution. Not overly sparse.
The set covers the basic workflow of listing data sources, examining schema, and running SQL queries. Missing possibly result writing or data transformation, but core functionality is present.