INDIVIDUAL MCP TOOL

confirm_academic_identity

Link or unlink the user's research identity using public anchors such as ORCID, Google Scholar, or an opaque candidate token.

corbis.ainone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.corbis-mcp-server]
url = "https://www.corbis.ai/api/mcp/universal"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "corbis-mcp-server": {
      "type": "http",
      "url": "https://www.corbis.ai/api/mcp/universal"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: corbis-mcp-server
Remote MCP URL: https://www.corbis.ai/api/mcp/universal

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": {
    "corbis-mcp-server": {
      "url": "https://www.corbis.ai/api/mcp/universal"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "corbis-mcp-server": {
      "type": "http",
      "url": "https://www.corbis.ai/api/mcp/universal"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "corbis-mcp-server",
  "transport": "streamable-http",
  "url": "https://www.corbis.ai/api/mcp/universal"
}

MCP Inspector

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

search_papers — Search academic and industry research papers using hybrid semantic-keyword search.
get_paper_details — Retrieve comprehensive details for a specific paper by ID.
get_paper_details_batch — Retrieve details for multiple papers in a single call.
research_opportunity_map — Map candidate research gaps, bridge opportunities, conservative conflict probes, and frontier papers inside a bounded academic embedding neighborhood.
literature_retrieve — Retrieve bounded academic paper candidates for local Claude Code/Codex synthesis.
paper_discovery — Fan out a research question into bounded paper-layer searches, deduplicate the candidates, and return stable document IDs for downstream paper-grain workflows.
literature_positioning — Position a thesis against nearby paper-layer literature, returning close papers, citation-anchor candidates, and verification-needed positioning signals.
evidence_pack — Build a paper-level evidence pack for a claim from selected paper IDs or bounded paper retrieval, with citation-ready metadata and retained document IDs.