kevaremesh_use — KEVAREMESH AI Procurement Gateway MCP Tool
kevaremesh_use
(kevaremesh use) is one of 1 tool on the
KEVAREMESH AI Procurement Gateway
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call kevaremesh_use from your client
- Claude Code KEVAREMESH AI Procurement Gateway kevaremesh_use run in your project directory
- Claude Desktop KEVAREMESH AI Procurement Gateway kevaremesh_use ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor KEVAREMESH AI Procurement Gateway kevaremesh_use ~/.cursor/mcp.json
- VS Code KEVAREMESH AI Procurement Gateway kevaremesh_use .vscode/mcp.json
- Zed KEVAREMESH AI Procurement Gateway kevaremesh_use ~/.config/zed/settings.json
- Windsurf KEVAREMESH AI Procurement Gateway kevaremesh_use ~/.codeium/windsurf/mcp_config.json
- Cline KEVAREMESH AI Procurement Gateway kevaremesh_use ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI KEVAREMESH AI Procurement Gateway kevaremesh_use ~/.gemini/settings.json
- Grok KEVAREMESH AI Procurement Gateway kevaremesh_use .mcp.json (in your project root)
- ChatGPT KEVAREMESH AI Procurement Gateway kevaremesh_use Settings → Connectors → Advanced → Developer mode
- Claude.ai KEVAREMESH AI Procurement Gateway kevaremesh_use Settings → Connectors → Add custom connector
- LangChain KEVAREMESH AI Procurement Gateway kevaremesh_use pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http kevaremesh-gateway https://kevaremesh-web.vercel.app/api/x402/mcp
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.