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# RowHint MCP Server Airline seat quality intelligence via MCP. Per-seat quality scores (1-10) with plain-English notes for **66+ aircraft configurations** acro
json { "mcpServers": { "rowhint": { "url": "https://mcp.rowhint.com/mcp" } } } No API key required. All 5 tools are free. ## Key Features - Per-seat quality scores (1-10) with transparent methodology - Plain-English notes explaining why each seat scores the way it does - Best seat finder filtered by cabin class - Side-by-side seat comparison with score differences and summary - Windowless window seat detection - 66+ hand-verified configs across AA, DL, UA, WN, B6, AS, HA, F9, NK, G4 ## Available Tools 1. rowhint_get_seat_score — Get quality score and notes for a specific seat 2. rowhint_get_best_seats — Find the highest-rated seats by cabin class 3. rowhint_compare_seats — Compare two seats side by side 4. rowhint_get_config_overview — Get full seat map overview for an aircraft 5. rowhint_get_windowless_seats — Find window seats that actually have no window ## Use Cases - Travelers asking AI assistants "What's the best seat on my Delta A321neo flight?" - Travel app developers adding seat quality data to booking tools - AI travel agents making personalized seat recommendations - Corporate travel tools optimizing seat assignments ## FAQ Does it cover international airlines? Not yet — currently covers 10 US airlines. International carriers are on the roadmap. How are scores calculated? Each seat is scored 1-10 based on legroom, recline, proximity to galley/lavatory, window alignment, and hardware. Full methodology at rowhint.com. Is an API key required? No. All tools are free with no authentication required. How often is the data updated? Configurations are hand-verified against live airline booking sites and updated when airlines change their layouts.Smithery CLI connects your agents to thousands of skills and MCP servers directly from the command line. To get started, simply run npx skills add smithery/cli.
npm install -g smithery@latest
Requires Node.js 20+.
smithery mcp search [term] # Search the Smithery registry
smithery mcp add <url> # Add an MCP server connection
smithery mcp list # List your connections
smithery mcp remove <ids...> # Remove connections
Interact with tools from MCP servers connected via smithery mcp.
smithery tool list [connection] # List tools from your connected MCP servers
smithery tool find [query] # Search tools by name or intent
smithery tool get <connection> <tool> # Show full details for one tool
smithery tool call <connection> <tool> [args] # Call a tool
Browse skills on the Smithery Skills Registry and install them with the upstream installer:
npx skills add <skill> # e.g. npx skills add smithery-ai/cli
smithery auth login # Login with Smithery (OAuth)
smithery auth logout # Log out
smithery auth whoami # Check current user
smithery auth token # Mint a service token
smithery auth token --policy '<json>' # Mint a restricted token
smithery namespace list # List your namespaces
smithery namespace use <name> # Set current namespace
smithery mcp publish <url> -n <org/server> # Publish an MCP server URL
smithery mcp publish <bundle.mcpb> -n <org/server> # Publish an MCP bundle
# Search and connect to an MCP server
smithery mcp search "github"
smithery mcp add github --id github
# Find and call tools from your connected MCP servers
smithery tool find "create issue"
smithery tool call github create_issue '{"title":"Bug fix","body":"..."}'
# Browse and install skills
smithery skill search "frontend" --json --page 2
smithery skill add anthropics/frontend-design --agent claude-code
# Publish your MCP server URL
smithery mcp publish https://my-mcp-server.com -n myorg/my-server
# Publish a built MCP bundle
smithery mcp publish ./server.mcpb -n myorg/my-server
git clone https://github.com/smithery-ai/cli
cd cli && pnpm install && pnpm run build
npx . --help
Contributions welcome! Please submit a Pull Request.
Выполни в терминале:
claude mcp add rowhint -- npx -y @smithery/cli run rowhint-ntm5/RowHintWeb content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolProvides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
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