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AGILEX Docs

REMOTE · SERVICE.AGILEX.AI

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

68 Trust /100

Last scanned (6 hours ago)

Scores higher than 53% of remote servers

Reachable. Last reached 5 Nov 2026.

Category IoT and Hardware

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security74
Transport & Reachability100
Schema Quality & AI Usability63
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1620 tokens (~324/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management7
  • Stability observed for 2 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 4 Nov 26 +6
    • Authorization: unverified → partial ▲ security
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “find_in_doc” rewrote its description, which is the text the model reads security
    • Tool “search_docs” rewrote its description, which is the text the model reads security
    • Tool “get_doc” rewrote its description, which is the text the model reads security
    • Tool “list_docs” rewrote its description, which is the text the model reads security
    • Schema quality: 209 → 324 ▼ functional
    • Schema quality: 209 → 285 ▼ functional
    • Schema quality: 209 → 267 ▼ functional
    • Stability: unverified → 0.03 ▲ functional
    • Server version: 1.2.0 → 1.2.1 functional
    • Server version: 1.30.0 → 1.2.0 functional
    • New tool “find_in_doc” functional
  • 3 Nov 26 61

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://service.agilex.ai/agilex-docs/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_256_GCM_SHA384 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=cloud.agilex.ai CN=YR2,O=Let's Encrypt,C=US 21 Oct 2026 19 Jan 2027 RSA 2048 SHA256-RSA 51213e3c7611778ea43bd90c9d0f337060c
SANs: cloud.agilex.ai, kb.agilex.ai, service.agilex.ai, support.agilex.ai
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of service.agilex.ai. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 1814, 3799 8, 8 Verified
agilex.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://service.agilex.ai/agilex-docs/mcp Verified 200
http (plaintext) http://service.agilex.ai/agilex-docs/mcp HTTPS enforced 301 https://service.agilex.ai/agilex-docs/mcp
MCP tools · 5 exposed · ~1,230 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
find_in_doc ~460

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.

NameTypeReqDescription
doc_idstringyes–
limitinteger––
querystringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

get_doc ~247

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.

NameTypeReqDescription
doc_idstringyes–
max_charsinteger––
offsetinteger––
NameTypeReqDescription
resultstringyes–

No examples provided.

list_docs ~188

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.

NameTypeReqDescription
limitinteger––
offsetinteger––
spacestring––
NameTypeReqDescription
resultstringyes–

No examples provided.

list_spaces ~60

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}]}.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes–

No examples provided.

search_docs ~275

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.

NameTypeReqDescription
limitinteger––
querystringyes–
spacestring––
NameTypeReqDescription
resultstringyes–

No examples provided.

Install

How do I install the AGILEX Docs MCP server?

AGILEX Docs is a hosted endpoint at https://service.agilex.ai/agilex-docs/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · service.agilex.ai

# add to Claude Code
claude mcp add --transport http ai-agilex-service-docs 'https://service.agilex.ai/agilex-docs/mcp'
Common questions

What is the AGILEX Docs MCP server?

AGILEX Docs is an MCP server listed in the public MCP registry as ai.agilex.service/docs. Official AGILEX robotics product docs: manuals, CAN protocol, firmware, FAQ. Read-only. This page covers its hosted endpoint (https://service.agilex.ai/agilex-docs/mcp).

Is the AGILEX Docs MCP server safe to use?

AGILEX Docs scores 68 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the AGILEX Docs MCP server expose?

AGILEX Docs exposes 5 tools: search_docs, find_in_doc, get_doc, list_docs, list_spaces. Their descriptions and schemas cost roughly 1,230 tokens of context every time the server is loaded.

Does the AGILEX Docs MCP server require authentication?

No. We connected to AGILEX Docs without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the AGILEX Docs MCP server still maintained?

AGILEX Docs is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.