AILANG Parse
REMOTE · DOCPARSE.AILANG.SUNHOLO.COM · 4 COMPONENTS
Parse, convert and create Office and PDF documents. OAuth at /mcp/connect/, API key at /mcp/.
Last scanned (1 hour ago)
Scores higher than 54% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Documents and Files
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
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability74
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 2493 tokens (~207/item across 12 items; 10 tools + 2 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 Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage73
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 18% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
- Supports UI / widget rendering.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.
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 69
First indexed and scored.
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://docparse.ailang.sunholo.com/mcp/connect/
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=docparse.ailang.sunholo.com | CN=YR1,O=Let's Encrypt,C=US | 22 Sept 2026 | 21 Dec 2026 | RSA 2048 | SHA256-RSA | 6feda1f3225bea66a35d5f1e027fc7377f4 |
| SANs: docparse.ailang.sunholo.com | ||||||
| CN=YR1,O=Let's Encrypt,C=US (CA) | CN=Root YR,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | RSA 2048 | SHA256-RSA | a20253f15f2691c05dc1ce13b9bcca4e |
| 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 docparse.ailang.sunholo.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| sunholo.com. | 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://docparse.ailang.sunholo.com/mcp/connect/ | Verified | 200 | |
| http (plaintext) | http://docparse.ailang.sunholo.com/mcp/connect/ | HTTPS enforced | 302 | https://docparse.ailang.sunholo.com/mcp/connect/ |
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 →
createUpload Create upload link ~191
Get one-time upload links for files in your sandbox or workspace, when you can run shell commands with network access (Claude Code, Codex, a code sandbox). One token PER FILE: a token uploads exactly one file. For several files set count (1..20) to get that many descriptors in one call. Each descriptor has a curl line: run it where the file is (replace <path>); it prints a receipt with a fileRef. Then call mcpParse, mcpConvert or editDocument with that fileRef. Tokens work once, for 10 minutes. If curl fails with a network error, or the user wants to pick a file, call uploadDocument instead, or ask for an https:// link. Never parse the file yourself.
| Name | Type | Req | Description |
|---|---|---|---|
| count | number | – | – |
| filename | string | – | – |
| mimeType | string | – | – |
No output schema declared.
No examples provided.
editDocument Edit document ~405
Edit a document: parse it, apply a JSON array of edit deltas, and return the modified blocks (same shape as mcpParse with outputFormat "blocks"). deltas "" or "[]" returns the document unchanged. Office formats only: docx, pptx, xlsx, odt, odp, ods. Give the document ONE way: fileRef: a file the user uploaded (mcp-file://docparse/file_...). file: in ChatGPT, the file the user attached (ChatGPT fills it in). content + filename: the file base64-encoded, contentEncoding="base64", e.g. filename "contract.docx". filepath: an https:// URL of a publicly reachable document, or a sample id from mcpFormats such as "sample_docx_formatting". To get a file back, pass the edited blocks' Markdown to mcpConvert. Which way to send a file: a file in your sandbox or workspace: call createUpload (one token PER FILE; set count for several) and run its curl line, then pass the fileRef here. curl fails with a network error, or the user wants to pick a file: call uploadDocument (the user chooses it in the AILANG Parse card). The card parses the file; it does not convert or edit it. a public https:// link; short text as content. In ChatGPT, file. Never parse the file yourself (your own script, or your own reading of it) and present that as this tool's result: if the file cannot be sent, tell the user.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | – | – |
| contentEncoding | string | – | – |
| deltas | string | – | – |
| file | object | – | – |
| fileRef | string | – | – |
| filename | string | – | – |
| filepath | string | – | – |
No output schema declared.
No examples provided.
mcpAccount Account, quota and usage ~125
Your AILANG Parse account: plan, monthly usage and limits, your keys, and whether request history is kept. Actions: "status" (default) → plan, usage this month and remaining allowance "keys" → your keys with per-key usage ("usage" is an alias) "history" → whether request history (parsed output kept for replay) is on for your account "history_on" / "history_off" → change it for the account and all its keys
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | – | – |
No output schema declared.
No examples provided.
mcpConvert Convert document ~452
Create a document in another format: docx, pptx, xlsx, odt, odp, ods, html, md or qmd. To write a new document, write Markdown and send it as content with filename "notes.md" (headings become slides in pptx). To convert an existing document, give it ONE way: fileRef: a file the user uploaded (mcp-file://docparse/file_...). file: in ChatGPT, the file the user attached (ChatGPT fills it in). content + filename: the document itself; binary files base64-encoded with contentEncoding="base64", text as plain text. input: an https:// URL of a publicly reachable document, or a sample id from mcpFormats. Which way to send a file: a file in your sandbox or workspace: call createUpload (one token PER FILE; set count for several) and run its curl line, then pass the fileRef here. curl fails with a network error, or the user wants to pick a file: call uploadDocument (the user chooses it in the AILANG Parse card). The card parses the file; it does not convert or edit it. a public https:// link; short text as content. In ChatGPT, file. Never parse the file yourself (your own script, or your own reading of it) and present that as this tool's result: if the file cannot be sent, tell the user. The result carries download_url, a link to the generated file valid for one hour: give it to the user. It also carries the file as base64 in content (encoding "base64"; text formats come back as utf8). Leave outputPath empty: the server cannot write to your filesystem.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | – | – |
| contentEncoding | string | – | – |
| file | object | – | – |
| fileRef | string | – | – |
| filename | string | – | – |
| input | string | – | – |
| outputFormat | string | yes | – |
| outputPath | string | – | – |
No output schema declared.
No examples provided.
mcpEstimate Estimate cost and latency ~46
Estimate cost and latency for parsing a document. Accepts a file path or sample_id. No auth required.
| Name | Type | Req | Description |
|---|---|---|---|
| filepath | string | yes | – |
| outputFormat | string | yes | – |
No output schema declared.
No examples provided.
mcpFormats List formats and capabilities ~42
What AILANG Parse can read and write, how to send it a document, and the sample documents you can try without one. No sign-in needed.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
mcpParse Parse document ~594
Parse a document into structured blocks, Markdown, HTML or A2UI, or a short summary of it. Give the document ONE way: fileRef: an uploaded file (mcp-file://docparse/file_...). The same user can use it again for 30 minutes after the first use (more parts, another format), then it is deleted. file: in ChatGPT, the file the user attached (ChatGPT fills it in). filepath: an https:// URL of a publicly reachable document, or a sample id from mcpFormats such as "sample_docx_formatting". content + filename: short text only (Markdown, HTML, CSV); the filename's extension picks the parser. outputFormat: blocks (default), markdown, html, a2ui, or summary (counts, the first 50 headings, warnings: a few KB). Look with summary first when a document may be large. Large documents come in parts: when the result has page.nextCursor, call mcpParse again with the same fileRef/filepath and cursor=<nextCursor> for the next part; read every part before answering about the whole document. maxChars sets the part size as a string of digits (default "80000", "2000".."120000"). pdfBackend: leave empty for PDFs with a text layer. Set "ai" when the result is PDF_TEXT_LAYER_SPARSE (a scanned PDF): each page is read by an AI model, about 5 seconds a page, and the call counts as an AI request. Pass the same pdfBackend with every cursor call. Which way to send a file: a file in your sandbox or workspace: call createUpload (one token PER FILE; set count for several) and run its curl line, then call this tool with the fileRef the upload prints. curl fails with a network error, or the user wants to pick a file: call uploadDocument; the user chooses it in the AILANG Parse card, which uploads it and gives you its fileRef. a public https:// link: filepath. Short text: content. Never parse the file yourself (your own script, or your own reading of it) and present that as this tool's result: if the file cannot be sent, tell the user.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | – | – |
| contentEncoding | string | – | – |
| cursor | string | – | – |
| file | object | – | – |
| fileRef | string | – | – |
| filename | string | – | – |
| filepath | string | – | – |
| maxChars | string | – | – |
| outputFormat | string | – | – |
| pdfBackend | string | – | – |
| requestId | string | – | – |
No output schema declared.
No examples provided.
submit_feedback Send feedback ~325
Anonymous bug report / feature request / docs gap, queued for human review. Default routing: `public-feedback` inbox (general AILANG). Pass `package="vendor/name"` (e.g. "sunholo/auth") to route to that package's `pkg:vendor/name` inbox where its autonomous agent watches. Categories: bug, feature, docs, limitation. Body limit 10KB, snippet limit 4KB. Optional contact field for follow-up; opaque to the server. Set `auto_dispatch=true` to authorize the package agent to act on your submission immediately (default false — files for human triage; pkg-feedback agent template lands in a separate sprint).
| Name | Type | Req | Description |
|---|---|---|---|
| ailang_version | string | yes | The reporter's CLI version (free-form, used for triage) |
| auto_dispatch | boolean | – | Authorize the receiving package's autonomous agent to act on this submission. Default false (files for human triage). Tagged on the Pub/Sub notification as category=auto:<original> for coordinator fi… |
| body | string | yes | Full description (≤10 KB) |
| category | string | yes | bug | feature | docs | limitation |
| contact | string | – | Optional follow-up address (free-form, opaque to the server) |
| package | string | – | Optional vendor/name (e.g. "sunholo/auth") to route to that package's pkg:vendor/name inbox. Empty = general AILANG feedback. |
| snippet | string | – | Optional code/error snippet (≤4 KB) |
| title | string | yes | Short title for the report |
No output schema declared.
No examples provided.
uploadDocument Upload a document ~143
Let the user pick a file to parse: shows the AILANG Parse card with a Choose file button. The card uploads the file and tries to summarise it for you; either way you get its fileRef. Then call mcpParse with that fileRef for the content (the same user can reuse it for 30 minutes; a large document comes in parts). Use this when the user wants to pick a file, or when createUpload's curl fails with a network error. For a file already in your sandbox or workspace, use createUpload + curl instead. Never parse the file yourself.
| Name | Type | Req | Description |
|---|---|---|---|
| outputFormat | string | – | – |
No output schema declared.
No examples provided.
uploadViaHost Receive upload from widget ~67
Receive a file from the AILANG Parse upload widget, relayed by the host as base64. Only the widget calls this; ticket is the upload token it holds.
| Name | Type | Req | Description |
|---|---|---|---|
| base64 | string | yes | – |
| filename | string | yes | – |
| ticket | string | yes | – |
No output schema declared.
No examples provided.
How do I install the AILANG Parse MCP server?
AILANG Parse is a hosted endpoint at https://docparse.ailang.sunholo.com/mcp/connect/, 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 · docparse.ailang.sunholo.com
claude mcp add --transport http sunholo-data-parse 'https://docparse.ailang.sunholo.com/mcp/connect/'
What is the AILANG Parse MCP server?
AILANG Parse is an MCP server listed in the public MCP registry as io.github.sunholo-data/parse. Parse, convert and create Office and PDF documents. OAuth at /mcp/connect/, API key at /mcp/. This page covers its hosted endpoint (https://docparse.ailang.sunholo.com/mcp/connect/).
Is the AILANG Parse MCP server safe to use?
AILANG Parse scores 69 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 AILANG Parse MCP server expose?
AILANG Parse exposes 10 tools: createUpload, editDocument, mcpAccount, mcpConvert, mcpEstimate, and 5 more. Their descriptions and schemas cost roughly 2,390 tokens of context every time the server is loaded.
Does the AILANG Parse MCP server require authentication?
No. We connected to AILANG Parse without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the AILANG Parse MCP server still maintained?
AILANG Parse 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.