Server data from the Official MCP Registry
Discover what websites across the agentic web can do — query the capabilities.txt registry.
Discover what websites across the agentic web can do — query the capabilities.txt registry.
Remote endpoints: streamable-http: https://capabilitiestxt.org/api/mcp
Valid MCP server (0 strong, 4 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
3 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-capabilityhostprotocol-capabilities-txt-registry": {
"url": "https://capabilitiestxt.org/api/mcp"
}
}
}From the project's GitHub README.
A simple, open convention for a website to declare what it can do — the capabilities an agent can discover and invoke — at a well-known location.
The web taught machines to read in layers. robots.txt says what a crawler may
access. sitemap.xml says what exists. llms.txt says what's worth reading.
Each answers one narrow question for an automated reader.
None of them answers the question agents now ask: what can this host actually do?
Agents have stopped only reading the web and started acting on it. An agent that lands on your site can summarize your docs — but it has no standard way to discover that you expose a "create support ticket" capability, a "check inventory" capability, or "start a return," and how to call them. Today that happens through bespoke, one-vendor-at-a-time integrations.
capabilities.txt is the missing layer: a public, well-known file where a host
declares the capabilities it offers, so any agent can discover what it can do.
It is deliberately small. llms.txt worked because you could adopt it in an
afternoon. capabilities.txt follows the same rule.
A host publishes one or both:
/capabilities.txt — human- and agent-readable markdown: capabilities
grouped by category, each with an id, version, and one-line description./.well-known/capabilities.json — the structured form: an array of
capability references, each resolvable to a full descriptor.The markdown form is for discovery and reading. The JSON form is for machines that want structure. Publishing the markdown form alone is a perfectly good start.
/capabilities.txt)# capabilities.txt
> One sentence: what this host is and what kind of capabilities it offers.
> Structured form: https://example.com/.well-known/capabilities.json
## <Category>
### <Group name> (<group-id>)
- <capability-id> (v<version>) — <one-line description>
- <capability-id> (v<version>) — <one-line description>
Rules, kept minimal:
# capabilities.txt.>) summary follows: one sentence on what the host offers,
plus optional links (the JSON form, docs, an invocation endpoint).## headings group capabilities by category (free-form, your choice).### headings name a group, optionally with a stable (group-id).capability-id, an optional
(v<version>), and a short — description./.well-known/capabilities.json){
"version": "1",
"capabilities": [
{
"id": "support.create_ticket",
"version": "1.2.0",
"description": "Open a support ticket",
"descriptor": "https://example.com/.well-known/capabilities/support.create_ticket.json"
}
]
}
Each entry is a reference; descriptor (optional) points to a full machine-readable
description of inputs, permissions, and how to invoke.
| File | Answers | For |
|---|---|---|
robots.txt | What may a crawler access? | Crawlers |
sitemap.xml | What pages exist? | Search engines |
llms.txt | What's worth reading? | LLMs reading |
capabilities.txt | What can this host do? | Agents acting |
It is not a replacement for MCP or an API spec. The Model Context Protocol is a
stateful connection-and-invocation protocol; OpenAPI describes an HTTP API.
capabilities.txt is the layer before invocation — a static, public, crawlable
advertisement an agent (or a search engine) can read with no live connection, that
points to your MCP server, HTTP API, or other endpoint for the actual call.
Discovery and invocation are different jobs. capabilities.txt does discovery; it
hands off invocation.
Fastest (no spec): copy the prompt at capabilitiestxt.org/implement
and hand it to your AI coding agent — it writes your capabilities.txt from your code.
Have an OpenAPI spec? Generate it in your browser (paste the URL) — or keep it current automatically in CI with the GitHub Action:
- uses: capabilityhostprotocol/capabilities-txt/action@main
with:
openapi: https://api.yoursite.com/openapi.json
output: public/capabilities.txt
Then check it at capabilitiestxt.org/submit for a grade, fixes, and a badge — and it’s discoverable in the directory + map.
By hand:
/capabilities.txt using the format above./.well-known/capabilities.json.adopters.md with a pull request.Already have an OpenAPI spec? Generate it — no manual authoring:
python tools/from_openapi.py https://api.yoursite.com/openapi.json > capabilities.txt
python tools/validate.py capabilities.txt # check it
Working references — a real, live capabilities.txt plus illustrative templates
across markets (e-commerce, support, banking, healthcare, dev platform) — are in
examples/. The tools in tools/ generate and validate files.
Discovery is the first step. Once an agent knows what you can do, the next
questions are may I, what happened, and can I prove it — invocation,
governance, and evidence. Those are defined by the
Capability Host Protocol (CHP), an open
protocol for which capabilities.txt is the natural public face. You can adopt
capabilities.txt on its own; CHP is where it leads if you need the rest.
This is a proposal with a working reference, not a finished standard — and it's better for your feedback. Open an issue or PR.
README.md, index.html, SPEC.md): CC BY 4.0 — see
LICENSE-DOCS.tools/): Apache-2.0 — see LICENSE.Copyright © 2026 Project Auxo, Inc. and contributors.
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
by Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
by mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.