pubmed-stream

Search PubMed and PMC, read full texts, map evidence and build Obsidian knowledge graphs

What does this entry provide?

pubmed-stream is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. 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 pubmed-stream 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: 78/100
Install method: pypi
Repo: melhzy/pubmed-stream
Repo updated: Oct 23, 2026

Install command

uvx pubmed-stream==0.4.4

Install method: pypi

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Oct 23, 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": "2026-10-23T18:26:24.750424Z",
      "publishedAt": "2026-10-23T18:26:24.750424Z",
      "statusChangedAt": "2026-10-23T18:26:24.750424Z"
    }
  },
  "server": {
    "name": "io.github.melhzy/pubmed-stream",
    "title": "pubmed-stream",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.4.4",
    "packages": [
      {
        "version": "0.4.4",
        "transport": {
          "type": "stdio"
        },
        "identifier": "pubmed-stream",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "packageArguments": [
          {
            "type": "positional",
            "value": "mcp"
          }
        ],
        "environmentVariables": [
          {
            "name": "NCBI_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Optional free NCBI API key, which raises NCBI's limit from 3 to 10 requests a second; create it under API Key Management at https://account.ncbi.nlm.nih.gov/settings/"
          },
          {
            "name": "NCBI_EMAIL",
            "format": "string",
            "description": "Optional contact email that NCBI asks programs to send with their requests"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/melhzy/pubmed-stream",
      "source": "github"
    },
    "websiteUrl": "https://melhzy.github.io/pubmed-stream/",
    "description": "Search PubMed and PMC, read full texts, map evidence and build Obsidian knowledge graphs"
  }
}

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