Developer Documentation
API & MCP Integration
Access BantuNomics data programmatically via REST API or integrate directly into Claude, GPT, and other AI assistants via the Model Context Protocol (MCP).
REST API
Endpoints
GET /api/v1/conjugate
GET /api/v1/analyze
GET /api/v1/tonal-pairs
GET /api/v1/languages
GET /api/v1/syllables/{lang}
POST /api/v1/batch-generate
Authentication
API key authentication via header:
Authorization: Bearer <your-api-key>
Response Format
All responses return JSON with consistent schema:
{"status": "ok", "data": [...], "meta": {"count": 100, "page": 1}}
Example: Conjugate a Verb
# Python example
import requests
response = requests.get(
"https://api.bantunomics.com/v1/conjugate",
headers={"Authorization": "Bearer YOUR_API_KEY"},
params={
"language": "bem",
"root": "bomb",
"subject": "ba",
"tense": "present_progressive",
"include_tones": True
}
)
data = response.json()
# {
# "surface_form": "balebomba",
# "slots": { ... },
# "tonal_analysis": { ... },
# "english": "they are working"
# }
MCP Integration
The BantuNomics MCP server exposes 21 tools across 6 groups, letting AI assistants directly query morphological data, generate conjugations, and access tonal analysis.
Conjugation Tools
conjugate_verb
batch_conjugate
get_paradigm
Analysis Tools
analyze_form
decompose_morphemes
get_tonal_analysis
Data Access Tools
get_language_info
list_languages
get_syllable_inventory
Tonal Tools
get_tonal_pairs
predict_tones
get_minimal_pairs
HFST Tools
hfst_analyze
hfst_generate
hfst_list_models
Utility Tools
search_roots
get_cartridge_info
validate_form
Claude Desktop Configuration
{
"mcpServers": {
"bantunomics": {
"command": "npx",
"args": ["-y", "@bantunomics/mcp-server"],
"env": {
"BANTUNOMICS_API_KEY": "your-api-key"
}
}
}
}
Rate Limits by Tier
| Tier | Requests/Day | Batch Size | MCP Access |
|---|---|---|---|
| Evaluation | 100 | 10 | — |
| Academic | 500 | 50 | Read-only |
| Startup | 5,000 | 500 | Full |
| Enterprise | Unlimited | Unlimited | Full + dedicated |