Developer Tools
mcpindex.ai
Helps developers discover, compare, install, and assess MCP servers through searching, recommendations, and trust checks.
ENDPOINT 1
https://mcpindex.ai/api/mcp
MCP server metadata
- Name
- mcpindex
- Version
- 1.0.0
Known tools 6
search_mcp_serversKeyword + semantic search across every MCP server mcpindex indexes.
Inferred read-onlyget_install_commandGet the exact install command for a given MCP server and client.
Potential side effectscompare_serversSide-by-side comparison of 2-5 MCP servers - quality scores, install paths, env vars.
Inferred read-onlycheck_tool_trustPre-invocation advisory screen for a specific tool on an MCP server.
Inferred read-onlyassess_serverAggregated pre-flight trust assessment across all tools on an MCP server.
Inferred read-onlyCONNECT 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.mcpindex]
url = "https://mcpindex.ai/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"mcpindex": {
"type": "http",
"url": "https://mcpindex.ai/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: mcpindex
Remote MCP URL: https://mcpindex.ai/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": {
"mcpindex": {
"url": "https://mcpindex.ai/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"mcpindex": {
"type": "http",
"url": "https://mcpindex.ai/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "mcpindex",
"transport": "streamable-http",
"url": "https://mcpindex.ai/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 mcpindex.ai was fetched 2026-07-28T02:41:11.463Z and is being refreshed.
mcpindex.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.