Lacuna Research MCP
io.github.tiptreesystems/lacuna-research-mcp · v0.6.4
Search Lacuna's ML research graph for papers, directions, authors, venues, and hypotheses.
MCPremotelocal · pypino credentialsResearch & educationMaps & locationDeveloper tools
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 13 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 78/100
What it does: 13 tools · 13 read, 0 write · Research & education, Maps & location, Developer tools
No tool could be tested safely. Only read-only tools that need no input are called.
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: 0
- Read/write annotations: +5
- Safe test call: +8
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://lacuna.tiptreesystems.com/api/mcpPackage
registry: pypi
identifier: lacuna-research-mcp
version: 0.6.4
transport: stdioTools
13 tools listed at last check
search_lacunaSearch Lacuna's ML/AI corpus for papers, research directions, authors, venues, institutions, novel research hypotheses, and research resources (code repositories, datasets, models, and demos linked to papers). For novel ML/AI research ideas, use search_type="hypothesis", then get_hyget_hypothesisFetch a generated novel ML/AI research proposal from Lacuna. Use after search_lacuna(search_type="hypothesis") to inspect a proposal. view selects the response shape: - "context" (default, recommended): compact single-fetch proposal context — summary_markdown, abstract, and linkget_directionFetch a Lacuna research direction/cluster. Use a numeric cluster ID (for example 25005) or a direction URL ending in that number. view selects the response shape (`context` typically contains the fields `full` provides plus the agent-oriented summary content): - "context" (defget_direction_papersFetch paginated papers associated with a Lacuna research direction/cluster. view selects the per-paper shape: - "compact" (default, recommended): citation-ready rows (id, url, title, year, venue, a few authors, abstract snippet). Drops the raw upstream info blob and levels.clusget_paperFetch a Lacuna paper by artifact id or paper URL. include_resources adds linked resources (code repositories, datasets, models, and demos) in context and full views by default. Pass False to omit them; other views ignore this option. Pass a resource entry's id to get_resource for fuget_resourceFetch a Lacuna research resource (code repository, dataset, model, or demo). Accepts a resource artifact ID (art_...) or a Lacuna resource URL containing that ID (/resource/<slug>/art_...). The response includes the external url, a summary, facets (tasks, modalities, size, license,get_author_papersFetch one page of an author's papers, ordered from newest to oldest.get_author_directionsFetch one page of an author's named research directions.get_author_contextFetch agent-oriented context for a Lacuna author. Author profiles describe research output (papers, directions, impact). A free-text `affiliation` field may be present but can be incomplete or outdated and may not represent current employment; the corpus has no biography or employmeget_author_neighborsFetch one ranked page of neighboring/similar Lacuna authors.get_venue_contextFetch agent-oriented context for a Lacuna venue, optionally scoped to a year. Venue keys are opaque hashes (e.g. "d7bf22905bd6"), never human-readable names like "icml". Find the key first via search_lacuna(search_type="venue") or pass a /venue/... page URL. view selects the responget_institution_contextFetch agent-oriented context for a Lacuna institution. view selects the response shape: - "context" (default, recommended): compact institution context — capped top authors with the duplicated institution block dropped server-side. - "full": the complete institution context shapeget_institution_authorsFetch one page of authors affiliated with a Lacuna institution. Results are ordered by paper count. Use authors_total, authors_returned, authors_offset, and authors_truncated to page through the complete list.
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