Entidex MCP MCP server
The Entidex MCP server provides entity intelligence by allowing AI agents to read verified records, check AI engine accuracy, and submit corrections. It integrates with clients like Claude Desktop and Cursor to resolve canonical entities across multiple AI surfaces.
Endpoint and access
API key: create a key with the vendor first; your client sends it as an authorization header on every request.
API keyEndpoint checked 2026-10-05
MCP endpoint (Streamable HTTP)
https://entidex.com/api/mcpWhat you can do with it
- Read verified entity records
- Check AI engine accuracy
- Submit entity corrections
- Resolve canonical entities
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
Claude Code configuration
claude mcp add --transport http entidex-mcp https://entidex.com/api/mcpCodex
Codex configuration
codex mcp add entidex-mcp --url https://entidex.com/api/mcpCursor
Cursor configuration
{
"mcpServers": {
"entidex-mcp": {
"url": "https://entidex.com/api/mcp"
}
}
}Cline
Cline configuration
{
"mcpServers": {
"entidex-mcp": {
"type": "streamableHttp",
"url": "https://entidex.com/api/mcp",
"disabled": false
}
}
}VS Code
VS Code configuration
{
"servers": {
"entidex-mcp": {
"type": "http",
"url": "https://entidex.com/api/mcp"
}
}
}Gemini CLI
Gemini CLI configuration
gemini mcp add --transport http entidex-mcp https://entidex.com/api/mcpClaude Desktop
Claude Desktop configuration
{
"mcpServers": {
"entidex-mcp": {
"url": "https://entidex.com/api/mcp"
}
}
}Windsurf
Windsurf configuration
{
"mcpServers": {
"entidex-mcp": {
"serverUrl": "https://entidex.com/api/mcp"
}
}
}Other ai and machine learning servers
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