Text Processing
Text NLP Annotation Workbench
Run explainable local tokenization, sentence splitting, stopword, lemma, stem, entity and n-gram annotation with JSONL or CoNLL export.
json· JSON resultOpen tool
Quick start
Call this tool from your code in three languages.
cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/text-nlp-annotation-workbench' \
-H 'Content-Type: application/json' \
-d '{"textInput":"The quick fox emailed [email protected].","language":"en","outputFormat":"json","removeStopwords":true,"stemming":true,"lemmatize":true,"entityDetection":true,"ngramSize":2}'API reference
Send a POST request with your inputs as JSON. File parameters require a separate upload first.
Endpoint
HTTP
POST https://api.elysiatools.com/en/api/tools/text-nlp-annotation-workbenchParameters
| Name | Type | Required | Description |
|---|---|---|---|
| textInput | textarea | Yes | — |
| language | select | No | — |
| outputFormat | select | No | — |
| removeStopwords | checkbox | No | — |
| stemming | checkbox | No | — |
| lemmatize |
MCP integration
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Server configuration
Add this block to your MCP client configuration:
mcp.json
{
"mcpServers": {
"elysiatools-text-nlp-annotation-workbench": {
"name": "text-nlp-annotation-workbench",
"description": "Run explainable local tokenization, sentence splitting, stopword, lemma, stem, entity and n-gram annotation with JSONL or CoNLL export.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-nlp-annotation-workbench",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}List available tools
After connecting to the SSE endpoint, list the exposed tools:
tools/list
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Call this tool
Invoke the tool by its id, passing arguments built from its parameters:
tools/call
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "text-nlp-annotation-workbench",
"arguments": {
"textInput": "The quick fox emailed [email protected].",
"language": "en",
"outputFormat": "json",
"removeStopwords": true,
"stemming": true,
"lemmatize": true,
"entityDetection": true,
"ngramSize": 2
}
}
}Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).
Questions or issues? Contact [email protected]