Platform
Data source: Internal registry
MCP Protocol
Endpoint
https://context.gnist.ai/mcp/resolver/
claude_desktop_config.json
{
"mcpServers": {
"gnist-resolver": {
"url": "https://context.gnist.ai/mcp/resolver/",
"headers": {
"Gnist-API-Key": "YOUR_API_KEY"
}
}
}
}
Shell
curl -X POST "https://context.gnist.ai/mcp/resolver/" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "resolve_entity", "arguments": {"name": "example", "entity_type": "example"}}}'
REST API
API Root
https://context.gnist.ai/rest/resolver/
4 endpoints available:
GET /rest/resolver/resolve_entityGET /rest/resolver/list_entity_typesGET /rest/resolver/resolver_cache_statsGET /rest/resolver/report_feedback
Shell
curl "https://context.gnist.ai/rest/resolver/resolve_entity?name=example&entity_type=example" \ -H "Gnist-API-Key: YOUR_API_KEY"
Python
import httpx
resp = httpx.get(
"https://context.gnist.ai/rest/resolver/resolve_entity",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
params={
"name": "example",
"entity_type": "example"
},
)
print(resp.json())
Command Line
Command
gc resolver
CLI documentation will be available when the GnistAI SDK is published.
Install
pip install gnistai
Available Tools (4)
resolve_entityResolve an entity name to canonical identifiers across all relevant Gnist Context servers.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | required | Entity name to resolve. |
entity_type | string | required | |
hints | any | optional |
list_entity_typesList all entity types available for resolution.
resolver_cache_statsReturn statistics about the entity resolution cache.
report_feedbackReport a bug, feature request, or general feedback for this data source.
| Parameter | Type | Required | Description |
|---|---|---|---|
feedback | string | required | |
feedback_type | string | optional | (default: "general") |