Embed — canonical payload contracts
Local multilingual MiniLM embeddings (384-d). Same model the host Signal Engine already uses. 1 credit per 1 million accrued tokens (typical call is 0).
Service id: embed
Docs: https://mcp.glc-rag.hu/guide/embed
Markdown docs: https://mcp.glc-rag.hu/guide/embed.md
MCP resource: docs://embed/payload
POST https://mcp.glc-rag.hu/mcp. Values below are type slots from the live input schema (e.g. <string, required>), not example data. Fill them from the user task.
RPC result wrapper: result.structuredContent is the object in Output schema. result.isError mirrors structuredContent.is_error.
embed_status
Health of the local MiniLM embedding server: model, dimensions, upstream reachability. Free — 0 credits.
Health of the local MiniLM server. Free.
Required arguments: (none)
Request contract
{
"jsonrpc": "2.0",
"id": "<integer|string>",
"method": "tools/call",
"params": {
"name": "embed_status",
"arguments": {}
}
}
Input schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}
Output schema (structuredContent on success)
{
"type": "object",
"properties": {
"ok": {
"type": "boolean"
},
"upstream_ok": {
"type": "boolean"
},
"model": {
"type": "string"
},
"dimensions": {
"type": "integer"
},
"base_url": {
"type": "string"
},
"tokens_per_credit": {
"type": "integer"
},
"error": {
"type": "string"
}
},
"additionalProperties": true,
"required": [
"ok"
]
}
Error object
{
"type": "object",
"required": [
"error",
"is_error"
],
"properties": {
"error": {
"type": "string"
},
"is_error": {
"type": "boolean",
"const": true
}
},
"additionalProperties": true
}
embed_texts — Embed texts
Embed one or more texts with multilingual MiniLM (384-d, normalized). Pass text and/or texts. 1 credit per 1 million accrued tokens (a short call is 0).
text or texts[] → 384-d unit vectors. 1 credit per 1_000_000 accrued tokens (no per-call floor). is_error = 0.
Required arguments: (none)
Request contract
{
"jsonrpc": "2.0",
"id": "<integer|string>",
"method": "tools/call",
"params": {
"name": "embed_texts",
"arguments": {
"text": "<string, optional, minLength 1, maxLength 8192>",
"texts": [
"<string, optional, minLength 1, maxLength 8192>"
]
}
}
}
Input schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"minLength": 1,
"maxLength": 8192,
"description": "Single text to embed"
},
"texts": {
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 8192
},
"minItems": 1,
"maxItems": 32,
"description": "Batch of texts to embed (same order in the response)"
}
},
"additionalProperties": false
}
Output schema (structuredContent on success)
{
"type": "object",
"properties": {
"ok": {
"type": "boolean"
},
"model": {
"type": "string"
},
"dimensions": {
"type": "integer"
},
"count": {
"type": "integer"
},
"embeddings": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
}
}
},
"usage": {
"type": "object",
"properties": {
"prompt_tokens": {
"type": "integer"
},
"total_tokens": {
"type": "integer"
}
}
},
"prompt_tokens": {
"type": "integer"
},
"unbilled_tokens": {
"type": "integer"
},
"tokens_per_credit": {
"type": "integer"
},
"error": {
"type": "string"
},
"is_error": {
"type": "boolean"
}
},
"additionalProperties": true,
"required": [
"ok"
]
}
Error object
{
"type": "object",
"required": [
"error",
"is_error"
],
"properties": {
"error": {
"type": "string"
},
"is_error": {
"type": "boolean",
"const": true
}
},
"additionalProperties": true
}