mcp-registry/io.github.supplygraphai/daasmart · v1.0.0
As of 2026-10-20 09:46 UTC, the Supplygraphai Daasmart MCP server is up with a Glimind reliability score of 71/100 (grade C). Over the last 30 days it answered 99.4% of Glimind's liveness checks. It had 81 outages in 90 days, with a median recovery of 6 minutes.
Official SupplyGraph.AI data MCP: POIs, parks, regions, industry chains, and companies.
Claude Code
claude mcp add --transport http supplygraphai-daasmart-mcp-server https://mcp.daasmart.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"supplygraphai-daasmart-mcp-server": {
"type": "http",
"url": "https://mcp.daasmart.com/mcp"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
198 of 198 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
198 tools on one server. Tool-selection accuracy drops as the menu grows, and some clients (e.g. Cursor) cap the number of active tools.
Group tools by task into smaller servers or toolsets, and merge near-duplicates behind one tool with a mode parameter. How to fix →
8 tool(s) look like they change state (create/send/delete/pay…) but declare no destructiveHint.
Set annotations {"readOnlyHint": false, "destructiveHint": true|false, "idempotentHint": …}. Clients use these to ask the user before a side effect and to auto-approve safe reads. How to fix →
Loading this server's tool list costs an agent ~38,467 tokens before any work — more than 99% of MCP servers.
Split rarely-used tools into a separate server or a toolset the client can enable, or expose one "search tools" entry point. Many agents load every connected server's tools into every request. How to fix →
Handshake + tools/list takes ~4,014 ms.
Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.supplygraphai%2Fdaasmart/fixes
{
"name": "chain_a_taxpayer_company_list",
"description": "基于具体地区（国家，省份，城市，区县）以及具体产业链名称A级纳税人企业列表查询（合并返回总量/生产型/销售型/依赖型文本）。\n涉及指标/类型：A级纳税人企业列表；生产型A级纳税人企业列表；销售型A级纳税人企业列表；依赖型A级纳税人企业列表\n不包含：其他企业分类的统计；仅返回数量不返回名单\n典型问法：2024年全国集成电路A级纳税人企业名单；成都市新能源产业链A级纳税人企业列表；海淀区人工智能A级纳税人企业有哪些\n\nPricing: {\"unit\": \"credits\", \"billing_model\": \"per_run\", \"per_run\": 100, \"unit_description\": \"optional\"}",
"inputSchema": {
"type": "object",
"required": [
"region",
"chain_name"
],
"properties": {
"year": {
"type": "integer",
"description": "统计年份，如 2024；可选。"
},
"region": {
"type": "string",
"description": "地区名称，如「全国」「成都」「北京市海淀区」。"
},
"chain_name": {
"type": "string",
"description": "产业链或节点名称，如「集成电路」「新能源」「人工智能」。"
}
},
"additionalProperties": false
},
"annotations": {
"openWorldHint": true,
"readOnlyHint": true
},
"title": "Chain A Taxpayer Company List"
}{
"name": "chain_a_taxpayer_company_num",
"description": "基于具体地区（国家，省份，城市，区县）以及具体产业链名称A级纳税人企业数量查询（合并返回总量/生产型/销售型/依赖型文本）。\n涉及指标/类型：A级纳税人企业数量；生产型A级纳税人企业数量；销售型A级纳税人企业数量；依赖型A级纳税人企业数量\n不包含：其他企业分类的统计；企业名单明细\n典型问法：2024年全国集成电路A级纳税人企业有多少；成都市新能源产业链A级纳税人企业数量；海淀区人工智能A级纳税人企业有多少家\n\nPricing: {\"unit\": \"credits\", \"billing_model\": \"per_run\", \"per_run\": 100, \"unit_description\": \"optional\"}",
"inputSchema": {
"type": "object",
"required": [
"region",
"chain_name"
],
"properties": {
"year": {
"type": "integer",
"description": "统计年份，如 2024；可选。"
},
"region": {
"type": "string",
"description": "地区名称，如「全国」「成都」「北京市海淀区」。"
},
"chain_name": {
"type": "string",
"description": "产业链或节点名称，如「集成电路」「新能源」「人工智能」。"
}
},
"additionalProperties": false
},
"annotations": {
"openWorldHint": true,
"readOnlyHint": true
},
"title": "Chain A Taxpayer Company Count"
}{
"name": "chain_close_company_list",
"description": "基于具体地区（国家，省份，城市，区县）以及具体产业链名称当年注销的企业列表查询（合并返回总量/生产型/销售型/依赖型文本）。\n涉及指标/类型：当年注销的企业列表；生产型当年注销的企业列表；销售型当年注销的企业列表；依赖型当年注销的企业列表\n不包含：其他企业分类的统计；仅返回数量不返回名单\n典型问法：2024年全国集成电路当年注销的企业名单；成都市新能源产业链当年注销的企业列表；海淀区人工智能当年注销的企业有哪些\n\nPricing: {\"unit\": \"credits\", \"billing_model\": \"per_run\", \"per_run\": 100, \"unit_description\": \"optional\"}",
"inputSchema": {
"type": "object",
"required": [
"region",
"chain_name"
],
"properties": {
"year": {
"type": "integer",
"description": "统计年份，如 2024；可选。"
},
"region": {
"type": "string",
"description": "地区名称，如「全国」「成都」「北京市海淀区」。"
},
"chain_name": {
"type": "string",
"description": "产业链或节点名称，如「集成电路」「新能源」「人工智能」。"
}
},
"additionalProperties": false
},
"annotations": {
"openWorldHint": true,
"readOnlyHint": false,
"destructiveHint": true,
"idempotentHint": true
},
"title": "Chain Close Company List"
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.supplygraphai/daasmart"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.supplygraphai/daasmart"}) over MCP.
supply_chain_risk_prediction ~679 tokensdue_diligence_report ~573 tokenscompany_data_search ~384 tokenscorporate_exception_report ~334 tokensgov_data_poi_amenity ~310 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fio.github.supplygraphai%2Fdaasmart?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.supplygraphai%2Fdaasmart?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.supplygraphai%2Fdaasmart.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.supplygraphai%2Fdaasmart.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.supplygraphai%2Fdaasmart?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:483c9458e63f3395…, first seen 2026-10-17, included at leaf 6215 of 32,155. Version history · verify what your client received.
Compare: most reliable data servers · most reliable knowledge servers · most reliable retrieval servers · most reliable search servers
Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-20 09:46 UTC, the Supplygraphai Daasmart MCP server is up with a Glimind reliability score of 71/100 (grade C). Over the last 30 days it answered 99.4% of Glimind's liveness checks. It had 81 outages in 90 days, with a median recovery of 6 minutes.
Supplygraphai Daasmart MCP server advertises 198 tools, including business_surrounding_company, business_surrounding_shop, cbd_surrounding_amenity, cbd_surrounding_consumption, cbd_surrounding_housing.
Point your MCP client at this streamable-http endpoint: https://mcp.daasmart.com/mcp
Glimind scanned all 198 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.