tigergraph-mcp
Model Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.
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Install
uvx tigergraph-mcp
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
{
"mcpServers": {
"tigergraph-mcp": {
"command": "uvx",
"args": [
"tigergraph-mcp"
],
"env": {
"TG_HOST": "<TG_HOST>",
"TG_SECRET": "<TG_SECRET>",
"TG_GS_PORT": "<TG_GS_PORT>",
"TG_PROFILE": "<TG_PROFILE>",
"TG_TGCLOUD": "<TG_TGCLOUD>",
"TG_PASSWORD": "<TG_PASSWORD>",
"TG_SSL_PORT": "<TG_SSL_PORT>",
"TG_USERNAME": "<TG_USERNAME>"
}
}
}
}Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.
