INDIVIDUAL MCP TOOL

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.

corbis.ainone authenticationAvailability not checked

Input schema

{}

Risk classification

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

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent endpoint

corbis.ai

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.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.

Related tools

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.
fred_search — Search FRED (Federal Reserve Economic Data) series by text and return candidate series IDs with titles, frequency, and units.