mcp-registry/io.github.adrida/deeprecall-mcp · v1.26.0
As of 2026-10-18 07:35 UTC, the Adrida Deeprecall MCP server is up with a Glimind reliability score of 81/100 (grade B). Over the last 30 days it answered 99.6% of Glimind's liveness checks. It had 6 outages in 90 days, with a median recovery of 72.8 hours.
Search 120,000+ recalled products from 8 global safety agencies using AI similarity.
Claude Code
claude mcp add --transport http adrida-deeprecall-mcp-server https://mcp.deeprecall.io/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"adrida-deeprecall-mcp-server": {
"type": "http",
"url": "https://mcp.deeprecall.io/mcp"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
2 of 2 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 →
7 parameter(s) across 1 tool(s) have no description.
Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →
Handshake + tools/list takes ~1,691 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.
No tool declares an outputSchema.
Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 1 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.adrida%2Fdeeprecall-mcp/fixes
{
"name": "get_data_sources",
"description": "\n Get information about available recall data sources.\n \n Returns a list of all supported regulatory agencies and their coverage.\n This is a free call that does not consume API credits.\n \n Returns:\n Dictionary with data sources and their descriptions\n ",
"inputSchema": {
"type": "object",
"title": "get_data_sourcesArguments",
"properties": {}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "search_recalls",
"description": "\n Search for recalled products similar to your query.\n \n This tool searches DeepRecall's global product safety database using AI-powered\n multimodal matching. Provide a text description and/or product images to find\n similar recalled products.\n \n Use Cases:\n - Pre-purchase safety checks: Before buying, verify if similar products were recalled\n - Supplier vetting: Check if a supplier's products have safety issues\n - Marketplace compliance: Verify products against rec",
"inputSchema": {
"type": "object",
"title": "search_recallsArguments",
"properties": {
"top_k": {
"type": "integer",
"title": "Top K",
"default": 10
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Api Key",
"default": null
},
"image_urls": {
"anyOf": [
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"title": "Image Urls",
"default": null
},
"model_name": {
"type": "string",
"title": "Model Name",
"default": "fuse_max"
},
"input_weights": {
"type": "array",
"items": {
"type": "number"
},
"title": "Input Weights",
"default": [
0.5,
0.5
]
},
"content_description": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Content Description",
"default": null
},
"filter_by_data_sources": {
"anyOf": [
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"title": "Filter By Data Sources",
"default": null
}
}
},
"annotations": {
"readOnlyHint": true
}
}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.adrida/deeprecall-mcp"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.adrida/deeprecall-mcp"}) over MCP.
search_recalls ~370 tokensget_data_sources ~116 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.adrida%2Fdeeprecall-mcp?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.adrida%2Fdeeprecall-mcp?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.adrida%2Fdeeprecall-mcp.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.adrida%2Fdeeprecall-mcp.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.adrida%2Fdeeprecall-mcp?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:cdd88605cc65cd71…, first seen 2026-10-17, included at leaf 4665 of 20,874. Version history · verify what your client received.
Compare: most reliable data 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 2026-10-18 07:35 UTC, the Adrida Deeprecall MCP server is up with a Glimind reliability score of 81/100 (grade B). Over the last 30 days it answered 99.6% of Glimind's liveness checks. It had 6 outages in 90 days, with a median recovery of 72.8 hours.
Adrida Deeprecall MCP server advertises 2 tools, including get_data_sources, search_recalls.
Point your MCP client at this streamable-http endpoint: https://mcp.deeprecall.io/mcp
Glimind scanned all 2 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.