What is the key difference between EOSL.ai — Hardware End Of Life Database and Mongo MCP?

EOSL.ai — Hardware End Of Life Database belongs to the Databases category with cloud HTTP/SSE execution, while Mongo MCP belongs to the Databases category with local stdio execution.

How do I install EOSL.ai — Hardware End Of Life Database or Mongo MCP in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are EOSL.ai — Hardware End Of Life Database and Mongo MCP free or paid?

EOSL.ai — Hardware End Of Life Database operates under a Free / Open Source model (No auth required). Mongo MCP operates under a Free / Open Source model (other).

Which MCP server has more tools and community activity?

EOSL.ai — Hardware End Of Life Database lists 5 tools with 0 views and 0 GitHub stars. Mongo MCP lists 5 tools with 3 views and 175 GitHub stars.

Can I use both EOSL.ai — Hardware End Of Life Database and Mongo MCP together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

EOSL.ai — Hardware End Of Life Database vs Mongo MCP

In-depth architectural comparison of the EOSL.ai — Hardware End Of Life Database and Mongo MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

EOSL.ai — Hardware End Of Life Database

Databases · Remote HTTP/SSE

Quality: 54/100 (Good) | Auth: No auth required

Mongo MCP

Databases · Local stdio

Quality: 47/100 (Fair) | Auth: other

Verdict Summary: Choose EOSL.ai — Hardware End Of Life Database if you need specialized Databases tools running via a hosted cloud SSE transport. Choose Mongo MCP if your workspace requires Databases integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose EOSL.ai — Hardware End Of Life Database when:

You need dedicated capabilities in the Databases domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: lookup_part, bulk_check, search_models.

Explore EOSL.ai — Hardware End Of Life Database Details

Choose Mongo MCP when:

You need dedicated capabilities in the Databases domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: other (Free / Open Source).
Primary tools included: Collection schema inspection, Filtered document queries, Single-document CRUD operations.

Explore Mongo MCP Details

Feature & Specification Comparison

Specification	E EOSL.ai — Hardware End Of Life Database Databases	Mongo MCP QuantGeekDev Databases
Summary	Hardware end-of-life dates by part number, each linked to the vendor's own bulletin.	MongoDB integration that enables LLMs to interact directly with databases.
Category & Scope	Databases	Databases

Tools & Capabilities Breakdown

EOSL.ai — Hardware End Of Life Database Tools (5)

lookup_part

Look up one hardware part number or model name in the EOSL.ai database (read-only, no auth; for many parts use bulk_check). Returns support status, End-of-Sale and End-of-Service-Life dates, support runway score, and the primary vendor bulletin URL backing the dates. Matching is exact, then punctuation-insensitive, then Fortinet short-SKU aliases (FG-60E -> FortiGate-60E); a model/family name (e.g. "7010TX-48") that matches no SKU returns the family-level record, flagged matchedVia:family-name. Anything else returns found:false rather than a guessed date.

bulk_check

Check up to 200 part numbers in one call (read-only, no auth; for a single part use lookup_part). Returns a per-part row (status, EOSL date, source URL, page URL) plus summary counts: past, endingSoon, supported, active, notFound. Never partial and never destructive: unknown or malformed entries do not fail the call, each simply returns found:false in its row.

search_models

Search tracked product families by vendor, product line, or series name (case-insensitive substring, e.g. "nexus 9300"). Read-only. Returns up to 10 families with status, EOSL window, and page URL. Use this for discovery when you have a name; for an exact part number use lookup_part, and use get_family with a returned slug for the full record.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

EOSL.ai — Hardware End Of Life Database Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "eosl-ai-hardware-end-of-life-database": {
      "url": "https://eosl.ai/mcp/"
    }
  }
}

Mongo MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "quantgeekdev-mongo-mcp": {
      "command": "npx",
      "args": [
        "mongo-mcp"
      ]
    }
  }
}

Frequently Asked Questions

EOSL.ai — Hardware End Of Life Database is categorized under Databases and uses a remote streaming HTTP/SSE transport. In contrast, Mongo MCP belongs to Databases using local stdio subprocess. Select EOSL.ai — Hardware End Of Life Database when you need capabilities focused on databases and Mongo MCP when you require tools for databases.

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