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phds.io

Searches and retrieves academic papers from business-school journals, providing metadata for research and learning.

1 endpoint2 known toolsFirst detected August 23, 2026Last detected August 23, 2026

ENDPOINT 1

https://phds.io/mcp

No auth detected

MCP server metadata

Name
phds.io
Version
1.0.0
Capabilities
tools

Known tools 2

search_papers

Search a curated corpus of leading business-school journals - the complete FT50 and more (finance, accounting, management, economics).

Inferred read-only
get_paper

Fetch one paper's CSL-JSON record by phds.io id or DOI.

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.phds-io]
url = "https://phds.io/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "phds-io": {
      "type": "http",
      "url": "https://phds.io/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: phds-io
Remote MCP URL: https://phds.io/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": {
    "phds-io": {
      "url": "https://phds.io/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "phds-io": {
      "type": "http",
      "url": "https://phds.io/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "phds-io",
  "transport": "streamable-http",
  "url": "https://phds.io/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 phds.io was fetched 2026-08-24T06:07:57.344Z.

Trust status Trusted

phds.io is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

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