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AGILEX Docs MCP Server

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AGILEX Docs is answering right now. Last checked 11 min ago. It exposes 5 tools. Last commit 4 Nov 2026.

Official AGILEX robotics product docs: manuals, CAN protocol, firmware, FAQ. Read-only.

Uptime history 8 days of history · worst day 99%
8 days agonow
100.0%
Uptime 24h
91 of 91 checks
5
Tools
read from the server
1356 ms
Response time
average over 24h
0
Stars
last commit 4 Nov 2026

What changed 13

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 4 November 2026. No other catalogue keeps this.

4 Nov 4 tool descriptions were rewritten6 times that day find_in_doc, get_doc, list_docs and 1 more
4 Nov 4 tools changed the parameters they ask for find_in_doc, get_doc, list_docs and 1 more
4 Nov a tool changed version2 times that day
4 Nov a tool appeared find_in_doc
and 3 more, back to 4 November 2026

AGILEX Docs missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add docs --transport http https://service.agilex.ai/agilex-docs/mcp
Settings → Connectors → Add custom connector, then paste this address
https://service.agilex.ai/agilex-docs/mcp
~/.codex/config.toml
[mcp_servers.docs]
url = "https://service.agilex.ai/agilex-docs/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "docs": {
      "url": "https://service.agilex.ai/agilex-docs/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "docs": {
      "type": "http",
      "url": "https://service.agilex.ai/agilex-docs/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

doc
find_in_doc
Locate a passage *inside* one manual, without paging through it. Use this after ``search_docs`` whenever you need a specific table, command or error code rather than the whole page — including short documents, because manuals commonly open with a preamble and page 1 rarely answers a question. It returns the exact ``offset`` of each match, so one ``get_doc(doc_id, offset=...)`` lands on the right section. Prefer this over repeatedly calling ``get_doc`` with increasing offsets. Args: doc_id: id from ``search_docs`` (also accepts the page slug). query: the *concept*, not the product name — e.g. "波特率" or "急停 接线". Terms that already appear in this page's title are ignored, because ``search_docs`` picked the page by them; passing the product name again only adds noise. Generic words that appear in nearly every manual are down-weighted, so one distinctive term is enough. limit: 1-10 passages, default 5. Matching is OR, not AND: a passage is returned when it contains at least one term with enough weight. Terms that are absent from this page therefore do **not** force a zero result — check ``missing_terms`` to see which of your words this page never mentions, and ``matched_terms`` for the ones it does. A query made only of stop words (or nothing) returns ``count: 0`` with a hint. Returns JSON: {doc_id,title,space,url,chars,query,count,returned, matched_terms,missing_terms,hits:[{offset,heading,score,matched,excerpt}], hint}. ``count`` is the total number of matched passages; ``returned`` is how many are in ``hits`` (capped by ``limit``). ``heading`` is the nearest heading above the passage; ``offset`` is absolute in the page body.
get_doc
Read one documentation page as Markdown. Call this with a ``doc_id`` returned by ``search_docs`` (or a slug such as ``ymZimX7JLe``). Manuals are often 20k-60k characters, so this tool paginates: if the reply has ``truncated: true`` and a ``next_offset``, call again with that ``offset`` to continue. Do not re-request the same offset. Args: doc_id: id from search_docs (also accepts the page slug). max_chars: characters per call, default 20000, max 120000. offset: start position, default 0. Returns JSON: {doc_id,title,space,url,chars,offset,returned,max_chars, truncated,next_offset,updated_at,content}. Always cite ``url``. If the page has no body (folder or unwritten page), the reply has ``empty: true`` and a hint — do not retry with other offsets.
docs
list_docs
List documented pages, optionally inside one space. Use when the caller wants an inventory ("what manuals exist for ranger") rather than an answer. Args: space: optional space slug or name fragment. limit: 1-300, default 100. offset: pagination offset, must be >= 0. Returns JSON: {space, count, offset, docs:[{doc_id,title,space,url,chars}]}. ``count`` is the number of docs in this page; there is no total field. ``count`` is the number of docs in this page; compare with ``limit`` to decide whether to request the next page. There is no total field — use ``list_spaces`` for per-space counts.
search_docs
Full-text search over the official AGILEX product documentation. Use this first for any question about AGILEX hardware: pinouts, CAN protocol details, baud rate, firmware upgrade, error codes, LED/beep meanings, installation, calibration, SDK usage. Args: query: Chinese or English keywords. Include the product name (piper / pika / nero / ranger / limo / scout / bunker / hunter / tracer / umr) plus the concept, e.g. "piper CAN 波特率". limit: 1-25 results, default 8. space: optional space slug or name fragment to narrow the search, e.g. "agx-chassis-manual-cn-en" or "底盘使用手册". Returns JSON: {query, count, results:[{doc_id,title,space,url,score,chars,snippet}]}. ``count`` is the number of results in this reply (0-``limit``). A result whose title carries 【未发】/【暂不对外】 includes ``status_note``. ``doc_id`` is what ``get_doc`` expects.
spaces
list_spaces
List the public documentation spaces with page counts. Call this when the caller is unsure which product family a document belongs to, or to explain coverage. Returns JSON: {count, spaces:[{space,name,docs,chars}]}.

Endpoints

URLTransportStateLatencyChecked
https://service.agilex.ai/agilex-docs/mcp streamable-http answering 1076 ms 11 min ago

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AGILEX Docs — questions

Answers built from our own checks of this server.

What can AGILEX Docs do?
It exposes 5 tools, read directly from the server on our last check. Among them: find_in_doc, get_doc, list_docs, list_spaces, search_docs. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is AGILEX Docs mostly used for?
Its tools cluster around doc and docs. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is AGILEX Docs working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1356 ms. The bar chart above shows every period we have measured.
How do I connect AGILEX Docs?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AGILEX Docs need an API key?
No. AGILEX Docs completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AGILEX Docs?
It answers our handshake in 1356 ms on average, which is faster than 1% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is AGILEX Docs open source?
The code is open source: it is published under the MIT licence, written in Shell and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at service.agilex.ai, which runs on its operator's own terms.