Skip to main content
Glama
Black-Swan-Causal-Labs

robins-i-mcp

by Black-Swan-Causal-Labs
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to robins-i-mcp

No user-submitted related servers found.

    Related Servers

    • LongBook Verifier

      Mormolykos
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that evaluates whether retrieval methods and AI outputs are grounded in long narrative manuscripts by retrieving evidence and scoring coverage deterministically, without external model APIs. It provides tools for chunking, indexing, retrieval, and evaluation.
      1
      MIT

    • prismAId

      open-and-sustainable
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
      28
      AGPL 3.0

    • thoth

      ahmedEid1
      A
      license
      Not graded
      quality
      C
      maintenance
      MCP server for agentic systematic literature reviews with citation verification. Enables AI assistants to list reviews, get drafts, retrieve citation audits, and manage discovered papers.
      0
      1
      MIT

    • literature-search-mcp

      PHoenixs57
      A
      license
      A
      quality
      B
      maintenance
      A standalone MCP server that searches multiple scholarly metadata providers (PubMed, Europe PMC, bioRxiv, Crossref, OpenAlex, Semantic Scholar, arXiv), deduplicates results, and returns ranked literature with optional open-access full-text retrieval from Europe PMC.
      3
      1
      Apache 2.0

    • AI Act Companion

      JKasteele
      A
      license
      Not graded
      quality
      A
      maintenance
      An MCP server that provides tools for deterministic EU AI Act risk classification and documentation generation, enabling human-in-the-loop AI system assessments inside Claude Code.
      1
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.6/5.0

    Scored across 9 tools

    Disambiguation4/5

    Each tool serves a distinct step in the ROBINS-I workflow, but assess_result and get_spec both return specification/rubric information, which could cause an agent to fetch the wrong one. parse_document and parse_pmcid are clearly distinguished by input type.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case: parse_document, parse_pmcid, specify_result, submit_answers, render_report, export_robvis. The pattern is uniform and predictable across the entire set.

    Tool Count5/5

    Nine tools is well within the ideal range and each tool covers a necessary step in the assessment lifecycle—parsing, setup, domain work, finalization, and export. No tool feels redundant or extraneous.

    Completeness5/5

    The tool set covers the full ROBINS-I assessment workflow: document ingestion (parse_document/parse_pmcid), protocol setup (set_prespecified_confounders, specify_result), domain assessment (assess_result, submit_answers), and reporting (render_report, export_robvis). There are no obvious dead ends or missing critical operations.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources