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The Meld Stablecoins documentation is published in an agent-ready format so coding assistants and AI agents can read, search, and reason over it directly — without copy-pasting pages or relying on stale training data. This page covers four ways to bring Meld docs into your AI workflow:

MCP server

Connect Claude, Cursor, and other tools to a live, searchable index of the docs.

llms.txt

Drop-in context files that summarize or inline the entire docs site.

Markdown export

Get any page as clean Markdown by appending .md to its URL.

skill.md

Machine-readable capability file for agents that act on Meld’s APIs.
All endpoints below serve the full Meld documentation, including the Stablecoins & Digital Assets, Meld API, and API reference sections.

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MCP server

The Meld docs are exposed as a hosted Model Context Protocol server. Once connected, your AI tool can search the docs and read full pages on demand instead of guessing. Server URL 
https://docs.meld.io/mcp
Tools the server exposes
  • search_meld — semantic search across every page; returns titles, snippets, and links.
  • query_docs_filesystem_meld — shell-style read access (ls, tree, cat, head, rg) over the docs as a virtual filesystem, including the OpenAPI specs.

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Add it to your tool

Run from your project:
claude mcp add --transport http meld-docs https://docs.meld.io/mcp
Then in a session, ask: “Use the meld-docs MCP to find the White-Label API quickstart and summarize the request payload.”
A discovery endpoint is published at https://docs.meld.io/.well-known/mcp so MCP-aware tools can find the server automatically.

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llms.txt

The docs are also published as flat text files designed for direct LLM consumption — useful when you want to drop the whole site into a context window, a RAG pipeline, or a fine-tuning corpus.
FileUse it when
https://docs.meld.io/llms.txtYou want a structured index of every page with descriptions.
https://docs.meld.io/llms-full.txtYou want the entire docs site inlined as one Markdown file.
Example — load the full docs into a Claude API request: 
import anthropic, urllib.request

docs = urllib.request.urlopen("https://docs.meld.io/llms-full.txt").read().decode()

client = anthropic.Anthropic()
msg = client.messages.create(
    model="claude-opus-4-8",
    max_tokens=1024,
    system=[
        {"type": "text", "text": "You are a Meld integration assistant."},
        {"type": "text", "text": docs, "cache_control": {"type": "ephemeral"}},
    ],
    messages=[{"role": "user", "content": "How do I create a crypto quote for a USD → USDC buy?"}],
)
print(next((b.text for b in msg.content if b.type == "text"), ""))
Use prompt caching (as shown above) when you call repeatedly — llms-full.txt is large, and caching cuts cost and latency dramatically.

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Markdown export

Any page on docs.meld.io can be fetched as raw Markdown — no HTML, no nav chrome — by appending .md to its URL. Examples 
https://docs.meld.io/docs/stablecoins/crypto-overview_/quickstart.md
https://docs.meld.io/docs/stablecoins/white-label-api-integration/whitelabel-quickstart.md
https://docs.meld.io/api-reference/crypto/retail-ramp/crypto-quote-get.md
You can also:
  • Send Accept: text/markdown on any docs request to get the Markdown variant.
  • Press Cmd+C (Ctrl+C on Windows) on any page to copy it as Markdown.
  • Use the Copy as Markdown / View as Markdown options in the page’s contextual menu.
API reference pages include the full OpenAPI operation in the Markdown export, which is what most coding agents need to generate a correct request.

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skill.md

For agents that act on Meld (not just read about it), the docs publish an agentskills.io–compatible capability file: 
https://docs.meld.io/skill.md
It describes what an agent can accomplish with the Meld API, the inputs each capability needs, and the constraints that apply. MCP-connected agents discover it automatically as a resource on the server above; you can also add it manually: 
npx skills add https://docs.meld.io
1

Connect the MCP server

Add https://docs.meld.io/mcp to your editor or chat tool. This is the single best upgrade — your assistant can now look up exact request shapes, status codes, and webhook payloads on demand.
2

Pin the right starting points

Bookmark these Markdown URLs and feed them to your agent at the start of a session:
  • https://docs.meld.io/docs/stablecoins/crypto-overview_/index.md — product overview and which integration to pick
  • https://docs.meld.io/docs/stablecoins/crypto-overview_/quickstart.md — first API call
  • https://docs.meld.io/docs/stablecoins/for-all-products/webhook-events.md — webhook event catalog
3

Use llms-full.txt for one-shot tasks

When you want a clean-slate model (no MCP) to do something self-contained — a one-off script, a code review, a migration — paste llms-full.txt into context with caching enabled.
4

Verify against the OpenAPI specs

The MCP filesystem includes the OpenAPI JSON for every product. Ask your agent to validate generated requests against /openapi/crypto-20260203.json before you ship.

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Questions or feedback

Found a docs gap your agent stumbled on, or want a new endpoint covered? Reach out to your Meld contact — agent-readability is a first-class goal for this section of the docs.