A Model Context Protocol (MCP) server enables artificial intelligence assistants to directly query data results. Users can obtain data results from
A Model Context Protocol (MCP) server enables artificial intelligence assistants to directly query data results. Users can obtain data results from DataFocus using
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| bearer | required): bearer token |
| names | required): selected table names |
| language | optional): language ['english','chinese'] |
| chatId | required): chat id |
{
"mcpServers": {
"focus_mcp_data": {
"command": "java",
"args": [
"-jar",
"path/to/focus_mcp_data/focus_mcp_data.jar"
],
"autoApprove": [
"tableList",
"gptText2DataInit",
"gptText2DataData"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
QSP — relay MCP tools to any OpenAI-compatible local LLM (llama.cpp, Ollama, vLLM)
Trustless escrow for AI agent-to-agent transactions on Base L2 with ERC-8004 identity and USDC.
Your agent is auto-provisioned on first sign-in. There is **no** `register_agent` tool.
Production-ready MCP server for Reactome pathway and systems biology data - Developed by Augmented Nature