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theslashdojo
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resources

Define and expose URIs as MCP server resources for AI applications.

Updated Apr 10, 2026
Search Tags:#typescript#context#resources#mcp#server#uri
One-click install
npx skills add https://github.com/theslashdojo/dojo --skill resources-theslashdojo
Or copy as Structured Prompt for Agentâ–¼
Please help me install this Agent Skill.
Skill: resources
Source: https://github.com/theslashdojo/dojo/tree/main/nodes/mcp/server/resources
Command: npx skills add https://github.com/theslashdojo/dojo --skill resources-theslashdojo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mcp[cli], and includes scripts (resource) components.

What problem does it solve?

Exposes data sources as URIs from an MCP server to provide contextual information for AI agents.

Core Features & Use Cases

  • Define resources with Python decorators (mcp.resource) or TypeScript server definitions to publish data as URIs.
  • Support multiple URI schemes including file://, https://, git:// and application-specific schemes like schema://, config://, and db://.
  • Discover via resources/list and retrieve contents via resources/read; include URI templates for parameterized access and optional subscriptions for change notifications.
  • Use cases include exposing database schemas, configuration data, or project files to AI agents to inform decisions.

Quick Start

Set up an MCP server, register a resource with a URI such as file://{path}, and use resources/list followed by resources/read to fetch its contents.

Frequently Asked Questions about resources

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I expose data sources as URIs to provide context for AI agents?â–¼

You can expose data sources as URIs by setting up an MCP server and registering resources using Python decorators or TypeScript server definitions to publish data as URIs for AI context.

What URI schemes can I use for MCP server resources?â–¼

MCP server resources support multiple URI schemes including standard file://, https://, git://, as well as application-specific schemes like schema://, config://, and db:// for contextual AI data.

How do I discover and read MCP resources from a server?â–¼

You can discover available MCP resources using the resources/list method and retrieve their specific contents via resources/read, with optional URI templates for parameterized access.

Can I use TypeScript to define MCP server resources for AI applications?â–¼

Yes, you can define MCP server resources using TypeScript server definitions to publish data as URIs, alongside Python implementations that support mcp.resource decorators.

What are common use cases for exposing data as URIs in MCP servers?â–¼

Common use cases include exposing database schemas, configuration data, and project files to AI agents via MCP servers, enabling informed automated decisions through optional subscriptions and URI templates.

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