io.github.rachadele/biolit

LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints.

What does this entry provide?

io.github.rachadele/biolit is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. 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 io.github.rachadele/biolit 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: 67/100
Install method: pypi
Repo: rachadele/biolit
Repo updated: Apr 1, 2026

Install command

uvx biolit==0.1.25

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Apr 1, 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": "2026-04-01T19:05:07.949986Z",
      "publishedAt": "2026-04-01T19:05:07.949986Z",
      "statusChangedAt": "2026-04-01T19:05:07.949986Z"
    }
  },
  "server": {
    "name": "io.github.rachadele/biolit",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.1.25",
    "packages": [
      {
        "version": "0.1.25",
        "transport": {
          "type": "stdio"
        },
        "identifier": "biolit",
        "registryType": "pypi",
        "environmentVariables": [
          {
            "name": "ANTHROPIC_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Anthropic API key (required when using the default Anthropic provider)"
          },
          {
            "name": "OPENAI_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "OpenAI API key (required when using LLM_PROVIDER=openai)"
          },
          {
            "name": "LLM_PROVIDER",
            "format": "string",
            "description": "LLM provider: anthropic (default), openai, or ollama"
          },
          {
            "name": "LLM_MODEL",
            "format": "string",
            "description": "Model name override (e.g. claude-sonnet-4-6, gpt-4o)"
          },
          {
            "name": "SEMANTIC_SCHOLAR_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Semantic Scholar API key for higher rate limits on citation lookup (optional)"
          },
          {
            "name": "UNPAYWALL_EMAIL",
            "format": "string",
            "description": "Email address for Unpaywall API access to improve PDF retrieval (optional)"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/rachadele/biolit",
      "source": "github"
    },
    "description": "LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints."
  }
}

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