MCP endpoint and package inspection
MCP Server Tools turns this step into structured output that can be used by humans, agents, and MCP clients.
Paid remote MCP SaaS
Hosted MCP server inspection, server-card generation, and tool schema validation for agent teams.
MCP Server Tools turns this step into structured output that can be used by humans, agents, and MCP clients.
MCP Server Tools turns this step into structured output that can be used by humans, agents, and MCP clients.
MCP Server Tools turns this step into structured output that can be used by humans, agents, and MCP clients.
Qualify a server URL, package, or repository before it reaches a production agent.
Review license, maintenance, auth model, and server-card evidence before installing open-source servers.
Review paid access, token limits, and checkout evidence before routing agent calls.
Compare servers, gateways, and adapters by task fit, auth model, and schema quality.
The service exposes a JSON-RPC style MCP endpoint, a machine-readable server-card, client setup pages, and structured tool outputs instead of a thin marketing page.
inspect_mcp_server - Inspect endpoint metadata, auth hints, server-card readiness, and client setup evidence.generate_server_card - Create an agent-readable server-card draft with paid access metadata and tool schema summary.validate_tool_schema - Score MCP tool names, input schema, output schema, and structured JSON suitability.Pricing
One MCP server audit and server-card export for a solo builder.
$234 due today, covers one year, renews automatically until canceled.
Repeated MCP server checks, schema exports, and client setup evidence for a team.
$594 due today, covers one year, renews automatically until canceled.
Portfolio MCP inspection, governance reports, and workflow evidence exports.
$1494 due today, covers one year, renews automatically until canceled.
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MCP Server Tools readers comparing workflow plans with launch and market assumptions can also review MiroFish AI Simulator, a companion reference for simulation-style product reasoning.
MCP server reviews are stronger when the model context is explicit; the Kimi K3 resource hub is useful for teams comparing long-context agents and tool calls.