sene-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SENE_DATA_DIR | No | Override the per-user data directory where the SQLite database is created. Defaults to %LOCALAPPDATA%\sene-mcp on Windows, ~/Library/Application Support/sene-mcp on macOS, and ~/.local/share/sene-mcp on Linux. | |
| SENE_DATABASE_URL | No | Override the database URL used by the server (e.g. a SQLite URL). |
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_market_priceA | Latest price per kg, in FCFA, of a crop product on Malian markets. |
| get_pest_sheetA | Full pest sheet: symptoms, prevention and non-chemical control, sources. |
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 2 tools
The two tools have completely distinct purposes: one provides market prices, the other provides pest information. There is no overlap or ambiguity in their intended use.
Both tools follow a consistent get_verb_noun pattern (get_market_price, get_pest_sheet). The naming is clear, predictable, and uses the same convention throughout.
With only two tools, the server feels thin and borderline for a coherent toolkit. While it might serve a very narrow niche, the count is at the low end of the acceptable range.
The tools cover market prices and pest sheets, but agricultural information typically includes other aspects like weather, planting tips, or crop recommendations. Notable gaps exist, though the two provided functions are themselves self-contained.