SupplyGraph.AI
REMOTE · MCP.SUPPLYGRAPH.AI · SCANNED SEP 26
Official MCP: continuous supply-chain risk monitoring and early warning, not a one-off report.
Available components
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 Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 9 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- 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 Usability63
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1970 tokens (~218/item across 9 items; 9 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 Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- 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 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
How do I install the SupplyGraph.AI MCP server?
SupplyGraph.AI is a hosted endpoint at https://mcp.supplygraph.ai/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 · mcp.supplygraph.ai
claude mcp add --transport http supplygraphai-supplygraph 'https://mcp.supplygraph.ai/mcp'
{
"mcpServers": {
"supplygraphai-supplygraph": {
"url": "https://mcp.supplygraph.ai/mcp"
}
}
} {
"servers": {
"supplygraphai-supplygraph": {
"type": "http",
"url": "https://mcp.supplygraph.ai/mcp"
}
}
} [mcp_servers.supplygraphai-supplygraph] url = "https://mcp.supplygraph.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"supplygraphai-supplygraph": {
"type": "remote",
"url": "https://mcp.supplygraph.ai/mcp",
"enabled": true
}
}
} openclaw mcp add supplygraphai-supplygraph --url 'https://mcp.supplygraph.ai/mcp' --transport streamable-http
mcp_servers:
supplygraphai-supplygraph:
url: "https://mcp.supplygraph.ai/mcp" {
"McpServers": {
"supplygraphai-supplygraph": {
"Transport": "http",
"Url": "https://mcp.supplygraph.ai/mcp"
}
}
} assistant mcp add supplygraphai-supplygraph -t streamable-http -u 'https://mcp.supplygraph.ai/mcp'
{
"mcpServers": {
"supplygraphai-supplygraph": {
"type": "http",
"url": "https://mcp.supplygraph.ai/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
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.
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 18 Sept 26 +1
- Stability: 0.97 → pass security
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 8 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
- 5 Sept 26 +46
- Injection markers: unverified → pass ▲ security
- Transport: fail → pass ▲ security
- Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 9 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. security
- MCP protocol: unverified → fail ▼ functional
- Endpoint reachability: not serving MCP → reachable ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- Stability: unverified → 0.57 ▲ functional
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 26 Sept 2026 · Probed https://mcp.supplygraph.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=supplygraph.ai | CN=YR1,O=Let's Encrypt,C=US | 31 Aug 2026 | 29 Nov 2026 | RSA 2048 | SHA256-RSA | 53d40d6ae2d47509e53d894f6bafa7c6606 |
| SANs: agent.supplychaindata.ai, agent.supplygraph.ai, agentts.supplygraph.ai, ey.supplygraph.ai, fts.supplychaindata.ai, fts.supplygraph.ai, mapcollective.supplygraph.ai, mcp.supplygraph.ai, mcpts.supplygraph.ai, supplychaindata.ai, supplygraph.ai, test.supplychaindata.ai and 4 more | ||||||
| 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 mcp.supplygraph.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 8 | Verified |
| supplygraph.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://mcp.supplygraph.ai/mcp | Verified | 200 | |
| http (plaintext) | http://mcp.supplygraph.ai/mcp | HTTPS enforced | 301 | https://mcp.supplygraph.ai/mcp |
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 →
corporate_exception_report Corporate Exception Report ~297
Enterprise Change Report Pricing: {"unit": "credits", "options": [{"chapter_name": "License", "per_run": 1518}, {"chapter_name": "GovRel", "per_run": 1419}, {"chapter_name": "R&D", "per_run": 1749}, {"chapter_name": "Reputation", "per_run": 8481}, {"chapter_name": "Ops", "per_run": 1749}, {"chapter_name": "GeneralRisks", "per_run": 1617}, {"chapter_name": "Profile", "per_run": 1749}, {"chapter_name": "Cost", "per_run": 1386}, {"chapter_name": "Compliance", "per_run": 1419}, {"chapter_name": "Competition", "per_run": 1452}, {"chapter_name": "Brand", "per_run": 3168}, {"chapter_name": "HR", "per_run": 1419}, {"chapter_name": "ALL", "per_run": 26400}]}
| Name | Type | Req | Description |
|---|---|---|---|
| chapter_name | string | – | Exception domain chapter to generate. Omit or use ALL for the full corporate exception report. |
| pid | string | yes | Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.). |
Structured output declared, but exposes no named fields.
No examples provided.
due_diligence_report Supplier Due Diligence Report Agent ~863
Generates comprehensive supplier due diligence reports using global enterprise data, benchmarking ownership, legal, and financial risk for compliance and procurement decisions. Pricing: {"unit": "credits", "options": [{"chapter_name": "Company Registration Information", "per_run": 1518}, {"chapter_name": "Branch Offices", "per_run": 1650}, {"chapter_name": "Corporate Brand Initiatives", "per_run": 2079}, {"chapter_name": "Administrative Sanctions", "per_run": 1485}, {"chapter_name": "Software Copyright Details", "per_run": 1551}, {"chapter_name": "Outbound Investments", "per_run": 1650}, {"chapter_name": "Financing Activities", "per_run": 1452}, {"chapter_name": "Competitor Analysis", "per_run": 1485}, {"chapter_name": "Subsidiary Companies", "per_run": 1848}, {"chapter_name": "Trademark Portfolio", "per_run": 4059}, {"chapter_name": "Patent Holdings", "per_run": 12045}, {"chapter_name": "Website Registrations", "per_run": 1419}, {"chapter_name": "Court Judgments", "per_run": 1584}, {"chapter_name": "Shareholder Structure", "per_run": 1386}, {"chapter_name": "Senior Management Team", "per_run": 1452}, {"chapter_name": "Administrative Permits", "per_run": 1749}, {"chapter_name": "Court Hearing Notices", "per_run": 3696}, {"chapter_name": "Court Notices", "per_run": 3597}, {"chapter_name": "Equity Pledges", "per_run": 1419}, {"chapter_name": "Mobile Applications", "per_run": 1386}, {"chapter_name": "Copyrighted Works", "per_run": 1749}, {"chapter_name": "Equity Freezes", "per_run": 1419}, {"chapter_name": "Chattel Mortgages", "per_run": 1419}, {"chapter_name": "WeChat Official Accounts", "per_run": 1386}, {"chapter_name": "Tendering and Bidding Activities", "per_run": 2145}, {"chapter_name": "Qualification Certificates", "per_run": 2310}, {"chapter_name": "Engineering Irregularities", "per_run": 1419}, {"chapter_name": "Major Regulatory Violations", "per_run": 1452}, {"chapter_name": "Compensation and Benefits", "per_run": 1386}, {"chapter_name": "Enforcement Target…
| Name | Type | Req | Description |
|---|---|---|---|
| chapter_name | string | – | Report chapter to generate. Omit or use ALL for the full due diligence report. |
| pid | string | yes | Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.). |
Structured output declared, but exposes no named fields.
No examples provided.
search_company_candidates Search Company Candidates ~108
Search company candidates by company name, optionally filtered by country or region, and return possible matching records with mapped company IDs for caller-side selection. Pricing: {"unit": "credits", "billing_model": "per_run", "per_run": 1}
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | Company name with optional country or region. The input should contain a company name, and may optionally include its country or region (e.g. 'Tesla United States', 'Samsung South Korea', 'Huawei Chi… |
Structured output declared, but exposes no named fields.
No examples provided.
search_region_candidates Search Region Candidates ~131
Resolves natural-language country or region names (including aliases and abbreviations) against SupplyGraph’s internal geography registry and returns a list of standardized region names for downstream agent and MCP tool consumption. Pricing: {"unit": "credits", "billing_model": "per_run", "per_run": 1}
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | Country or region name in natural language, including aliases and abbreviations (e.g. 'China', 'USA', 'South Korea', 'Hong Kong', '中国', '美国'). The tool searches the internal geography registry and re… |
Structured output declared, but exposes no named fields.
No examples provided.
sg_chokepoint Geographic Concentration Analysis Agent ~131
Analyzes multi-tier supply chains to detect single-country concentration and quantify geographic dependency across regions. Pricing: {"unit": "credits", "per_run": 264590}
| Name | Type | Req | Description |
|---|---|---|---|
| pid | string | yes | Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.). |
| region_name | string | yes | Standardized country or region name for geographic concentration analysis, obtained from the search_region_candidates MCP tool (e.g. China, United States, Hong Kong). |
Structured output declared, but exposes no named fields.
No examples provided.
sg_visualization Enterprise Supply Graph Visualization Agent ~88
Generates global multi-tier supply-chain graphs providing full visibility into enterprise and product dependencies. Pricing: {"unit": "credits", "per_run": 264590}
| Name | Type | Req | Description |
|---|---|---|---|
| pid | string | yes | Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.). |
Structured output declared, but exposes no named fields.
No examples provided.
supply_chain_risk_prediction Supply Chain Risk Prediction Agent ~81
Continuously monitors global supply chain risk events and evaluates whether, how, and to what extent those events may affect a target company. Pricing: {"unit": "credits", "per_run": 264590}
| Name | Type | Req | Description |
|---|---|---|---|
| event_info | object | yes | Evaluates how a supply chain risk event may affect a target company through multi-tier supply chain propagation analysis. |
Structured output declared, but exposes no named fields.
No examples provided.
tariff_calc U.S. Tariff Calculation Agent ~110
Calculates U.S. customs duties by combining HTS base rates with applicable Chapter 99 measures, providing transparent, rule-based tariff outcomes. Pricing: {"unit": "credits", "per_run": 10}
| Name | Type | Req | Description |
|---|---|---|---|
| country_or_region | string | yes | Country or region of origin for the imported product, e.g. China, Mexico, European Union. |
| product_description | string | yes | Description of the product to import into the United States, e.g. HS code, product name, material, or specifications. |
Structured output declared, but exposes no named fields.
No examples provided.
tariff_classification Customs Classification Agent ~69
Classifies products into correct HTS codes from text or documents, automating tariff lookup and ensuring customs compliance in real time. Pricing: {"unit": "credits", "per_run": 2}
| Name | Type | Req | Description |
|---|---|---|---|
| product_description | string | yes | Description of the product used to identify HS/HTS codes. |
Structured output declared, but exposes no named fields.
No examples provided.
What is the SupplyGraph.AI MCP server?
SupplyGraph.AI is an MCP server listed in the public MCP registry as io.github.SupplyGraphAI/supplygraph. Official MCP: continuous supply-chain risk monitoring and early warning, not a one-off report. This page covers its hosted endpoint (https://mcp.supplygraph.ai/mcp).
Is the SupplyGraph.AI MCP server safe to use?
SupplyGraph.AI scores 75 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 SupplyGraph.AI MCP server expose?
SupplyGraph.AI exposes 9 tools: due_diligence_report, tariff_calc, corporate_exception_report, search_company_candidates, sg_chokepoint, and 4 more. Their descriptions and schemas cost roughly 1,878 tokens of context every time the server is loaded.
Does the SupplyGraph.AI MCP server require authentication?
No. We connected to SupplyGraph.AI without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the SupplyGraph.AI MCP server still maintained?
SupplyGraph.AI is still listed as active in the MCP registry. We last reached this channel on 26 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.