What is WebMCP Tooling Suite?

WebMCP Tooling Suite is a comprehensive toolkit for the Model Context Protocol (MCP) feed ecosystem. It provides everything you need to create, validate, sign, publish, and monitor feeds that enable AI agents to discover and interact with your services.

Supported Feed Formats

WebMCP tools support two complementary feed formats:

Format	Status	Best For
LLMFeed JSON (.json)	✅ Fully Supported	Structured data, cryptographic signing, machine consumption
llm.txt (.txt)	🚧 Work in Progress	Human-readable documentation, simple discovery

Current Tooling Status

All LLMFeed packages (validator, signer, health-monitor, github-action) are fully built and tested for LLMFeed JSON format. Support for parsing and validating llm.txt (the markdown-based format) is planned for future releases. You can still serve llm.txt files for discovery, but our tooling currently processes JSON feeds.

The Problem

As AI agents become more capable, they need standardized ways to discover what services and APIs are available to them. Without a standard:

• AI agents can't reliably discover new capabilities
• Service providers have no standard way to advertise their offerings
• Platforms struggle to verify the authenticity of capability claims
• Everyone suffers from fragmented, incompatible approaches

The Solution: MCP Feeds

The Model Context Protocol defines standardized feed formats that:

1. Describes capabilities - What your service can do
2. Provides context - How AI agents should interact with you
3. Establishes trust - Cryptographic signatures verify authenticity
4. Enables discovery - Standard locations and directory listings

LLMFeed JSON (Fully Supported ✅)

A structured JSON format with cryptographic signing support:

{
  "feed_type": "llmfeed",
  "metadata": {
    "title": "My Service",
    "origin": "https://example.com",
    "description": "What my service does"
  },
  "capabilities": [...],
  "items": [...],
  "trust": { ... }
}

llm.txt (Coming Soon 🚧)

A markdown-based format for human-readable documentation:

# My Service

> What my service does

## Capabilities

- Search: Query our knowledge base
- Create: Generate new content

## Documentation

- [API Reference](https://example.com/docs/api)
- [Getting Started](https://example.com/docs/start)

llm.txt Support Status

While you can create and serve llm.txt files, our tooling (validator, signer, health-monitor) does not yet parse or validate this format. JSON feeds are recommended for full tooling support.

WebMCP Toolkit

This project provides the core tooling to work with MCP feeds:

📦 @25xcodes/llmfeed-validator

Validate LLMFeed JSON structure and verify cryptographic signatures. Use it to:

• Check feeds against the official JSON schema
• Verify Ed25519 signatures for authenticity
• Integrate validation into your CI/CD pipeline

📦 @25xcodes/llmfeed-signer

Generate keys and sign your LLMFeed JSON feeds. Use it to:

• Generate Ed25519 key pairs
• Sign feeds for cryptographic authenticity
• Export keys in PEM or base64 format

📦 @25xcodes/llmfeed-health-monitor

Monitor feed health across your infrastructure. Use it to:

• Crawl and validate feeds on a schedule
• Generate health reports (JSON, HTML, Markdown)
• Track feed availability and changes over time

📦 @25xcodes/llmfeed-action

GitHub Action for CI/CD integration. Use it to:

• Automatically validate feeds on push/PR
• Fail builds on invalid feeds
• Generate validation reports as artifacts

Who Should Use This?

Service Providers

If you offer APIs, tools, or services that AI agents could use, you should:

1. Create an LLMFeed JSON file describing your capabilities
2. Sign it with Ed25519 for authenticity
3. Publish it at a well-known location
4. Register in the directory for discovery
5. (Optional) Also provide an llm.txt for human readers

AI Platform Builders

If you're building AI agents or platforms that consume capabilities:

1. Use the validator to verify incoming JSON feeds
2. Verify signatures before trusting capability claims
3. Monitor feed health for your integrations
4. Discover new feeds from the directory

DevOps & Infrastructure

If you manage MCP infrastructure:

1. Use the GitHub Action to validate feeds in CI
2. Monitor feed health across your fleet
3. Generate reports for compliance and auditing

Next Steps

🚀 Getting Started

Install the packages and create your first feed

📄 Feed Structure

Understand the LLMFeed JSON format and schema

🔐 Trust & Signatures

Learn about cryptographic signing

📦 Packages

Explore the full API reference