Add elicitInputs tool to MCP server

Adds a new elicitInputs tool that demonstrates how to use MCP's elicitation
feature to request user input. The tool showcases various input field types
including strings, booleans, emails, dates, numbers, and enums. This allows
clients to interactively collect structured user input during tool execution.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Olivier Chafik 2025-10-14 17:40:19 +01:00
commit 9c5a4d4335
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@ -4,6 +4,7 @@ import {
CompleteRequestSchema,
CreateMessageRequest,
CreateMessageResultSchema,
ElicitResultSchema,
GetPromptRequestSchema,
ListPromptsRequestSchema,
ListResourcesRequestSchema,
@ -79,6 +80,8 @@ const GetResourceReferenceSchema = z.object({
.describe("ID of the resource to reference (1-100)"),
});
const ElicitInputsSchema = z.object({});
enum ToolName {
ECHO = "echo",
ADD = "add",
@ -87,6 +90,7 @@ enum ToolName {
GET_TINY_IMAGE = "getTinyImage",
ANNOTATED_MESSAGE = "annotatedMessage",
GET_RESOURCE_REFERENCE = "getResourceReference",
ELICIT_INPUTS = "elicitInputs",
}
enum PromptName {
@ -446,6 +450,12 @@ export const createMcpServer = (): McpServerWrapper => {
"Returns a resource reference that can be used by MCP clients",
inputSchema: zodToJsonSchema(GetResourceReferenceSchema) as ToolInput,
},
{
name: ToolName.ELICIT_INPUTS,
description:
"Elicitation test tool that demonstrates how to request user input with various field types",
inputSchema: zodToJsonSchema(ElicitInputsSchema) as ToolInput,
},
];
return { tools };
@ -624,6 +634,96 @@ export const createMcpServer = (): McpServerWrapper => {
return { content };
}
if (name === ToolName.ELICIT_INPUTS) {
ElicitInputsSchema.parse(args);
// Call elicitInput on the server to request user input
const result = await server.request(
{
method: "sampling/elicitInput",
params: {
message: "Please provide inputs for the following fields:",
requestedSchema: {
type: "object",
properties: {
name: {
title: "Full Name",
type: "string",
description: "Your full, legal name",
},
check: {
title: "Agree to terms",
type: "boolean",
description: "A boolean check",
},
color: {
title: "Favorite Color",
type: "string",
description: "Favorite color (open text)",
default: "blue",
},
email: {
title: "Email Address",
type: "string",
format: "email",
description:
"Your email address (will be verified, and never shared with anyone else)",
},
homepage: {
type: "string",
format: "uri",
description: "Homepage / personal site",
},
birthdate: {
title: "Birthdate",
type: "string",
format: "date",
description:
"Your date of birth (will never be shared with anyone else)",
},
integer: {
title: "Favorite Integer",
type: "integer",
description:
"Your favorite integer (do not give us your phone number, pin, or other sensitive info)",
minimum: 1,
maximum: 100,
default: 42,
},
number: {
title: "Favorite Number",
type: "number",
description: "Favorite number (there are no wrong answers)",
minimum: 0,
maximum: 1000,
default: 3.14,
},
petType: {
title: "Pet type",
type: "string",
enum: ["cats", "dogs", "birds", "fish", "reptiles"],
enumNames: ["Cats", "Dogs", "Birds", "Fish", "Reptiles"],
default: "dogs",
description: "Your favorite pet type",
},
},
required: ["name"],
},
},
},
ElicitResultSchema
);
return {
content: [
{
type: "text",
text: `Elicitation result: ${JSON.stringify(result, null, 2)}`,
},
],
};
}
throw new Error(`Unknown tool: ${name}`);
});