2026-09-22 • Updated 2026-09-26 • 7 min read • Build
How to Make Your Documentation Searchable by AI Agents
Index your docs so AI agents find the right page even when people phrase questions differently from your docs, then test it with three phrasings.
To make your documentation searchable by AI agents, index it on an MCP server
that matches passages on meaning as well as wording, and expose a search tool the
agent can call. With Context MCP Studio you paste your docs URL, select
search_docs, and deploy, with no code. An agent can then find the right page
even when the question uses different words from the page, and cite it.
By the end of this guide you will have your docs indexed, a test against a page you name in advance, and a sense of how to write docs that are easy to find however the question is phrased.
Why wording is the real search problem
People rarely use your words. A developer whose webhook secret appeared in a public log will ask "my webhook secret leaked, how do I replace it?" Your docs call that page "Rotate signing keys". A user asks about "logging in", while the docs say "authentication". The question and the answer describe the same thing in different vocabulary.
Matching on wording alone misses those pairs. A search that only compares words finds pages that share terms with the question. When the terms differ, the right page can rank below a page that merely repeats the question's words, such as a security overview that mentions "secret" many times.
Matching on meaning closes the gap. MCP Studio compares what the question is about with what each passage is about, alongside the words themselves. "Replace a leaked secret" and "rotate signing keys" land close together because they mean the same thing, so the rotation page can come back even though the two share almost no words.
Exact words still matter. When someone asks about WEBHOOK_SIGNING_SECRET
or the error invalid_signature, the precise string is the best clue there is.
Because both kinds of matching run together, an exact identifier is found by
its wording and a loosely phrased question is found by its meaning.
What to index
Index the documentation, not the whole company site. A marketing homepage
mixed in with the reference gives search more near misses to choose from. Use
the docs root, such as /docs, or one section of a large site. A website
source is crawled up to 5,000 pages on the same hostname.
Pages behind a login are not in a public crawl. Export them and upload the files, or connect a private repository, and keep that material on a private server.
A PDF linked from a page is not automatically in the index. If an answer lives only in a PDF, add the file as its own source.
How to build the server
- Pick one page and write down its path, such as
/docs/webhooks/rotate-keys. This is the page search must return. - Open the MCP Studio wizard. You do not write any code.
- Paste your docs URL, preferring the documentation root over the homepage.
- Select
search_docs. Addask_questionif you also want the agent to receive passages gathered for a direct question. You choose between 3 and 10 tools in total; the tool selection guide explains each one. - Deploy, and wait until the source shows complete. The endpoint works during indexing, but judge search only once indexing has finished.
Your server URL looks like this:
https://appatools.com/mcp-studio/api/mcp/your-server-name
To connect it to Claude, Cursor, or Codex, follow Let AI agents search your documentation or How to connect an MCP server to Codex.
How to check that it works
Ask the same question three ways. Use the page's own wording, a casual phrasing, and one built around a symptom.
How do I rotate a webhook signing key?
How do I change my webhook secret?
My webhook secret leaked in a log. What do I do?
All three should cite the page you wrote down. If only the first does, the section below explains what to change on the page.
Ask something the docs do not cover. Search should report a miss, not a nearby article dressed up as an answer.
You: How do I rotate the office wifi password from the API?
Assistant: Nothing in this server's content covers an office wifi password. The closest material is webhook key rotation, which is a different subject. You would need to add that document as a source.
MCP Studio also flags a subtler case: when your docs clearly cover the subject but no passage states the specific answer, the response says so and asks the agent to check the passages against the question. Both signals mean the agent can tell a real answer from a near miss.
How to write docs that are easy to find
Say what the page does in the heading. "Rotate signing keys" is findable. "Advanced" is not. A heading is the strongest summary a passage carries.
Name the symptom as well as the fix. One sentence such as "If your signing secret has been exposed, rotate it" gives the page the words people use when something has gone wrong.
Keep one topic per section. Search returns passages, not whole pages. A section that covers both rotation and retries is a weaker match for either.
Refresh after you edit. Website sources refresh daily on their own, and you can refresh any source from the dashboard. Until then, the agent searches the previous copy. More on this in How to make your documentation AI-ready.
Frequently asked questions
How do AI agents search documentation?
An AI agent searches documentation by calling a tool on an MCP server, such as
search_docs, with the question as its query. The server returns the best
matching passages and the page each came from, and the agent writes its answer
from those passages.
Why can't my AI assistant find the right docs page?
The most common reason is that the question uses different words from the page. Search that matches on meaning as well as wording handles most of these cases, and a heading that says what the page does, plus a sentence naming the symptom, handles the rest.
Do I need to rewrite my documentation for AI agents?
Usually not. Clear headings and one topic per section help people and agents equally. Adding the words people use for a problem, next to the words your docs use for the fix, is the most useful single edit.
Can AI agents search pages behind a login?
Not through a public crawl. Export those pages and upload them, or connect a private repository, and keep that server private so every request needs an access token.
How many pages can I index?
A website or documentation source is crawled up to 5,000 pages. For a larger site, start with one section or connect the GitHub repository that holds the docs.
Make your docs searchable with MCP Studio
Paste your docs URL, turn on search, and ask the same question three ways. The wizard takes about a minute and needs no code. Open MCP Studio and keep the server when every phrasing cites the page you named.