All connectors
Consensus MCP
1 tool · Model Context Protocol · Education · AI Assistants
Consensus MCP lets agents search peer-reviewed academic research and return papers, citations, study metadata, and plan-dependent analysis fields.
Connect Consensus MCP
- Open Slashspace and go to Settings, then Connectors.
- On Discover, search for Consensus MCP and click Connect.
- Sign in to Consensus MCP in your browser. Slashspace updates when the account is connected.
- Then ask for what you need in any Agent mode chat. Consensus MCP is on in every chat unless you switch it off.
What your chats can do
1 tool from Consensus MCP.
- SearchSearch over 220 million peer-reviewed academic papers. Use this tool when the user asks about research, studies, evidence, scientific findings, clinical trials, medical research, or academic literature. Covers Semantic Scholar, PubMed, Scopus, and ArXiv. Returns paper titles, authors, abstracts, citation counts, journal quality scores, and direct URLs to each paper. All filters are optional — only apply them when the user explicitly asks. Example query → filter mappings: - "what does the evidence say about metformin for longevity?" → query="metformin longevity mortality", medical_mode=True, exclude_preprints=True - "recent peer-reviewed RCTs on SGLT2 inhibitors for heart failure" → query="SGLT2 inhibitors heart failure outcomes", year_min=2022, exclude_preprints=True, study_types=["rct"] - "long-term studies of statin side effects (1+ year)" → query="statin adverse effects long-term", duration_min=365, medical_mode=True - "what is dark matter?" → query="dark matter" (no filters — general question) - "coffee and cognition, excluding top-tier Q1 journals" → query="coffee cognition", sjr_min=2
