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iconsol.me

Search and retrieve Solana ecosystem logos by keyword or ID.

1 endpoint2 known toolsFirst detected June 14, 2026Last detected August 24, 2026

ENDPOINT 1

https://iconsol.me/api/mcp

No auth detected

MCP server metadata

Name
iconsol
Version
0.1.0
Capabilities
tools.listChanged

Known tools 2

search_logos

Search the iconsol directory of Solana ecosystem logos by keyword and/or category.

Inferred read-only
get_logo

Fetch a single logo from iconsol by its id.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.iconsol]
url = "https://iconsol.me/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "iconsol": {
      "type": "http",
      "url": "https://iconsol.me/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: iconsol
Remote MCP URL: https://iconsol.me/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "iconsol": {
      "url": "https://iconsol.me/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "iconsol": {
      "type": "http",
      "url": "https://iconsol.me/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "iconsol",
  "transport": "streamable-http",
  "url": "https://iconsol.me/api/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for iconsol.me was fetched 2026-07-26T18:17:54.012Z and is being refreshed.

Trust status Neutral

iconsol.me is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.