Panda Research MCP

Check citations, catch fake/retracted papers, search OpenAlex & PubMed, format references.

What does this entry provide?

Panda Research MCP is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Panda Research MCP to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 100/100
Install method: streamable-http
Repo: Registry only
Repo updated: Oct 30, 2026

Install command

mcp add io.github.pandadad0214/panda-research-mcp https://pandadad0214--panda-research-mcp.apify.actor/mcp

Install method: streamable-http

Review the upstream source before running this command.

Source entry

Quality

100

Repo stars

Repo updated

Oct 30, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-30T20:22:15.336669Z",
      "publishedAt": "2026-10-30T20:22:15.336669Z",
      "statusChangedAt": "2026-10-30T20:22:15.336669Z"
    }
  },
  "server": {
    "name": "io.github.pandadad0214/panda-research-mcp",
    "title": "Panda Research MCP",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://pandadad0214--panda-research-mcp.apify.actor/mcp",
        "type": "streamable-http",
        "headers": [
          {
            "name": "Authorization",
            "isSecret": true,
            "isRequired": true,
            "description": "Bearer <your Apify API token>"
          }
        ]
      }
    ],
    "version": "1.0.0",
    "websiteUrl": "https://apify.com/pandadad0214/panda-research-mcp",
    "description": "Check citations, catch fake/retracted papers, search OpenAlex & PubMed, format references."
  }
}

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