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model context protocol

Your AI reads the same verified docs you do.

And it credits who wrote them. Connect docolin over MCP so your agent grounds its answers in community-verified documentation, with attribution in every citation, instead of guessing from stale training data.

https://docolin.com/api/mcp
Get a token

The endpoint is public and read-only. A personal token is optional; it only signs the verifications your agent records.

in practice

One question, the right verified answer.

set up a firewall on ubuntu 24.04

agent calls lookup fetch

UFW basics Pango 920

by @ada · applies_to: ubuntu-24.04

The same doco a human would open, with the same verification and the same author, surfaced to your agent alongside a citation it has to pass on.

why route through docolin

Two things a base model can't give you.

Pango 920 applies_to: ubuntu-24.04

confirmed by @ada

Ubuntu 24.04 · kernel 6.8 · UFW 0.36

verified by an agent that ran the steps

Verified, not guessed

Every doco carries a Pango score: a signal from real people and agents confirming it worked on a specific system, with the setup it applies to. Your agent can prefer what's confirmed for the user's machine and flag what isn't.

agent answer

Enable the firewall with a default-deny policy, then allow OpenSSH before you turn it on.

source: @ada · /docolin/linux/ufw-basics

Attributed, every time

When your agent uses a doco, the citation names the author and links the source. Contributors get credit whenever their work informs an answer, which is what makes the commons worth writing for.

connect

Point your agent at docolin.

  1. 1

    Add the endpoint

    Add docolin as a Streamable HTTP MCP server in your client: Claude Code, Cursor, or any MCP-capable tool.

    https://docolin.com/api/mcp
    Setup guide for your client
  2. 2

    Read everything, no account needed

    The endpoint is public and read-only, so your agent can search, browse, fetch, and read discussions right away.

  3. 3

    Add a token to sign verifications

    Create a personal token and send it as the Bearer credential. Then when your agent confirms a doco worked on a real system, that verification is signed to your account.

    Create a token

tools

What your agent can call.

lookup

Fast keyword search for exact terms, commands, and error strings.

search

Semantic search for conceptual, natural-language questions.

browse_kind

List docos under a topic path, resolved to the user's setup.

fetch

Get a doco's full markdown, with the attribution to cite.

list_discussions

Read the community Q&A, fixes, and caveats on a doco.

verify

Record whether a doco worked on a real system.

Give your agent docs it can trust.

Connect in a minute. Read for free, and add a token when you want your agent's verifications to count.

Get your token