Djelia MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DJELIA_HOST | No | Host to bind the server (for SSE/HTTP transport) | 127.0.0.1 |
| DJELIA_PORT | No | Port to bind the server (for SSE/HTTP transport) | 8000 |
| DJELIA_API_KEY | Yes | Your Djelia API key (required). Get one at https://console.djelia.cloud | |
| DJELIA_TRANSPORT | No | Transport mode: stdio, sse, or http | stdio |
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": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_supported_languagesA | List languages supported by Djelia translation. Returns a list of {"code": str, "name": str}. Codes: bam_Latn (Bambara), fra_Latn (French), eng_Latn (English). |
| translateA | Translate Use list_supported_languages to get valid codes. Returns {"text": ""}. |
| transcribeB | Transcribe Bambara speech to text using Djelia V2. |
| text_to_speechA | Synthesize Bambara speech from |
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 4 tools
Each tool targets a distinct operation: listing languages, translating text, transcribing speech, and synthesizing speech. There is no overlap or ambiguity between them.
Tool names mix verb-led formats like 'list_supported_languages' and 'translate' with the noun phrase 'text_to_speech'. The pattern is not fully consistent but remains readable and predictable.
Four tools is a well-scoped size for a language services server, covering translation, transcription, TTS, and language discovery without bloat or thinness.
The tool surface covers the core language lifecycle: discover languages, translate, transcribe, and synthesize. Minor gaps exist (e.g., no explicit voice listing or language detection), but they are not obvious dead ends for the stated purpose.