lacuna-research-search

endpoint

https://lacuna.tiptreesystems.com/api/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

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karma

0 · newcomer

Is lacuna-research-search live?

Yes — it answered the hub's last check (checked 41m ago). It answered 100% of checks over the last 30 days.

Is lacuna-research-search free to use?

Yes — the hub reached it with no key and no payment.

What tools does lacuna-research-search have?

13 tools: get_author_directions, search_lacuna, get_direction, get_direction_papers, get_author_neighbors, get_institution_authors, get_hypothesis, get_paper, ….

Is lacuna-research-search safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_author_directions unknown 41m ago

  Fetch one page of an author's named research directions.

  mcp-tool

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  {
    "type": "object",
    "title": "get_author_directionsArguments",
    "required": [
      "author_id_or_url"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 50
      },
      "offset": {
        "type": "integer",
        "title": "Offset",
        "default": 0
      },
      "author_id_or_url": {
        "type": "string",
        "title": "Author Id Or Url"
      }
    }
  }

  arguments 23 lines copy
• search_lacuna unknown never probed

  Search 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_hypothesis on promising results. search_type accepts all, cluster, paper, author, institution, venue, hypothesis, or resource. Use paper for literature and get_paper to read a result. Use other sources for biographies, news, and non-research web content. Resources: search_type="resource" searches GitHub repositories, Hugging Face datasets/models, and Zenodo records that Lacuna has linked to at least one paper. To find benchmark or evaluation datasets, use search_type="resource" with resource_kind="dataset" (for example query "image classification benchmark" or a dataset name like "ImageNet"). resource_kind accepts codebase, dataset, model, or demo (one value or a list); provider accepts github, huggingface, or zenodo. Both filters require search_type "resource" or "all" (with either filter set, only resources are returned). Each result has an external `url`, a Lacuna `context_url`, and `linked_paper_count`; call get_resource on its id to list the linked papers (with their relationship to the resource), then get_paper on those papers for reported results and numbers. Resource search does not support date_from/date_to, venue, year sorting, or semantic ranking. ranking_profile accepts: - default / lexical (default): production ranking; relevance-sorted paper searches combine lexical and semantic retrieval when fields is unset. - semantic: conceptual paper retrieval; supported for paper and all. - bm25_title_abstract / bm25: lexical paper matching over those fields. sort accepts relevance (default), year_desc, or year_asc. Semantic ranking cannot use year sorting; constrain recency with date_from/date_to instead. date_from and date_to are inclusive YYYY, YYYY-MM, or YYYY-MM-DD bounds. author_id_or_url constrains a paper search to one author. Pass an author ID or Lacuna author page URL; it requires search_type="paper". fields optionally restricts and weights lexical fields, for example "title^4,abstract". Supported names are title, abstract, summary, concepts, name, top_names, and venue, plus description, topics, provider_key, and paper_titles for resources (a resource's title already includes its description, topics, README text, and linked paper titles). Fields must exist on the selected search_type, weights must be within 0 < weight <= 100, and fields cannot be combined with semantic ranking.

  mcp-tool

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  {
    "type": "object",
    "title": "search_lacunaArguments",
    "required": [
      "query"
    ],
    "properties": {
      "sort": {
        "type": "string",
        "title": "Sort",
        "default": "relevance"
      },
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 10
      },
      "query": {
        "type": "string",
        "title": "Query"
      },
      "venue": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Venue",
        "default": null
      },
      "fields": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Fields",
        "default": null
      },
      "offset": {
        "type": "integer",
        "title": "Offset",
        "default": 0
      },
      "date_to": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Date To",
        "default": null
      },
      "provider": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          {
            "type": "null"
          }
        ],
        "title": "Provider",
        "default": null
      },
      "date_from": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Date From",
        "default": null
      },
      "search_type": {
        "type": "string",
        "title": "Search Type",
        "default": "all"
      },
      "resource_kind": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          {
            "type": "null"
          }
        ],
        "title": "Resource Kind",
        "default": null
      },
      "ranking_profile": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Ranking Profile",
        "default": null
      },
      "author_id_or_url": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Author Id Or Url",
        "default": null
      }
    }
  }

  arguments 141 lines copy
• get_direction unknown never probed

  Fetch 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" (default, recommended): compact agent-oriented summary with summary_markdown, capped papers/authors/related_directions, and truncation markers. - "full": raw upstream cluster record only. Cheaper than context when you only need basic cluster metadata.

  mcp-tool

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  {
    "type": "object",
    "title": "get_directionArguments",
    "required": [
      "cluster_id_or_url"
    ],
    "properties": {
      "view": {
        "enum": [
          "context",
          "full"
        ],
        "type": "string",
        "title": "View",
        "default": "context"
      },
      "cluster_id_or_url": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "integer"
          }
        ],
        "title": "Cluster Id Or Url"
      }
    }
  }

  arguments 29 lines copy
• get_direction_papers unknown never probed

  Fetch 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.cluster internals that otherwise dominate the payload. - "full": the complete upstream paper records. Much larger; use only when you need the raw metadata (openalex/dblp/arxiv ids, etc.).

  mcp-tool

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  {
    "type": "object",
    "title": "get_direction_papersArguments",
    "required": [
      "cluster_id_or_url"
    ],
    "properties": {
      "page": {
        "type": "integer",
        "title": "Page",
        "default": 1
      },
      "view": {
        "enum": [
          "compact",
          "full"
        ],
        "type": "string",
        "title": "View",
        "default": "compact"
      },
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 24
      },
      "cluster_id_or_url": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "integer"
          }
        ],
        "title": "Cluster Id Or Url"
      }
    }
  }

  arguments 39 lines copy
• get_author_neighbors unknown 41m ago

  Fetch one ranked page of neighboring/similar Lacuna authors.

  mcp-tool

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  {
    "type": "object",
    "title": "get_author_neighborsArguments",
    "required": [
      "author_id_or_url"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 8
      },
      "offset": {
        "type": "integer",
        "title": "Offset",
        "default": 0
      },
      "author_id_or_url": {
        "type": "string",
        "title": "Author Id Or Url"
      }
    }
  }

  arguments 23 lines copy
• get_institution_authors unknown never probed

  Fetch 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.

  mcp-tool

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  {
    "type": "object",
    "title": "get_institution_authorsArguments",
    "required": [
      "institution_key_or_url"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 50
      },
      "offset": {
        "type": "integer",
        "title": "Offset",
        "default": 0
      },
      "institution_key_or_url": {
        "type": "string",
        "title": "Institution Key Or Url"
      }
    }
  }

  arguments 23 lines copy
• get_hypothesis unknown never probed

  Fetch 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 linked directions, with the raw upstream record (whose markdown duplicates summary_markdown) dropped server-side. - "full": the server's version record, including version history and signal counts. Proposal bodies are in versions[].markdown. Use only when you need versions or signals.

  mcp-tool

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  {
    "type": "object",
    "title": "get_hypothesisArguments",
    "required": [
      "hypothesis_id_or_url"
    ],
    "properties": {
      "view": {
        "enum": [
          "context",
          "full"
        ],
        "type": "string",
        "title": "View",
        "default": "context"
      },
      "hypothesis_id_or_url": {
        "type": "string",
        "title": "Hypothesis Id Or Url"
      }
    }
  }

  arguments 22 lines copy
• get_paper unknown never probed

  Fetch 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 further details. view selects the response shape. `context` requests Lacuna's compact agent-oriented context by default, while the four single-field views (blog/figures/concepts/neighbors) return isolated sub-resources: - "context" (default, recommended): agent-oriented summary with summary_markdown, authors, and a small figure preview. Start here for almost everything. Available versions are included when present; to read another version, use its artifact ID from the returned version list. - "full": raw upstream paper record. Cheaper than context when you only need basic metadata. - "preview": compact card with unique fields `excerpt`, `excerpt_kind`, `bookmarked`. Use for citation-style display. - "blog": just the summary_markdown content, without the rest of the context envelope. - "figures": just the figures list. - "concepts": just the concepts list. - "neighbors": just the related-papers list. figure_limit (context view only) caps the figure preview (server default 3). Pass 0 to suppress figure previews while keeping a `figures_truncated` signal.

  mcp-tool

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  {
    "type": "object",
    "title": "get_paperArguments",
    "required": [
      "artifact_id_or_url"
    ],
    "properties": {
      "view": {
        "enum": [
          "context",
          "full",
          "preview",
          "blog",
          "figures",
          "concepts",
          "neighbors"
        ],
        "type": "string",
        "title": "View",
        "default": "context"
      },
      "figure_limit": {
        "anyOf": [
          {
            "type": "integer"
          },
          {
            "type": "null"
          }
        ],
        "title": "Figure Limit",
        "default": null
      },
      "include_resources": {
        "type": "boolean",
        "title": "Include Resources",
        "default": true
      },
      "artifact_id_or_url": {
        "type": "string",
        "title": "Artifact Id Or Url"
      }
    }
  }

  arguments 44 lines copy
• get_resource unknown never probed

  Fetch 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, access), provider metrics, a README/card excerpt, `publications` (linked papers with paper_id, title, venue, year, and relationship such as dataset_for or code_for), related research directions, and other resources mentioned by this one. Pass a publication's paper_id to get_paper to read the paper and its reported results.

  mcp-tool

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  {
    "type": "object",
    "title": "get_resourceArguments",
    "required": [
      "resource_id_or_url"
    ],
    "properties": {
      "resource_id_or_url": {
        "type": "string",
        "title": "Resource Id Or Url"
      }
    }
  }

  arguments 13 lines copy
• get_author_papers unknown never probed

  Fetch one page of an author's papers, ordered from newest to oldest.

  mcp-tool

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  {
    "type": "object",
    "title": "get_author_papersArguments",
    "required": [
      "author_id_or_url"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 50
      },
      "offset": {
        "type": "integer",
        "title": "Offset",
        "default": 0
      },
      "author_id_or_url": {
        "type": "string",
        "title": "Author Id Or Url"
      }
    }
  }

  arguments 23 lines copy
• get_author_context unknown 41m ago

  Fetch 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 employment history, so do not infer those from this data. view selects the response shape: - "context" (default, recommended): Lacuna's compact author context — capped readable papers and an `impact_directions` list (named research directions) in place of the raw numeric `impact_clusters` telemetry, with the duplicated nested author record dropped server-side. - "full": the bounded full-shape author context (raw `impact_clusters`, nested author record; server collections are capped at 100). Set include_neighbors=True to include similar authors as named, linkable records. Neighbor computation may add significant server latency.

  mcp-tool

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  {
    "type": "object",
    "title": "get_author_contextArguments",
    "required": [
      "author_id_or_url"
    ],
    "properties": {
      "view": {
        "enum": [
          "context",
          "full"
        ],
        "type": "string",
        "title": "View",
        "default": "context"
      },
      "author_id_or_url": {
        "type": "string",
        "title": "Author Id Or Url"
      },
      "include_neighbors": {
        "type": "boolean",
        "title": "Include Neighbors",
        "default": false
      }
    }
  }

  arguments 27 lines copy
• get_venue_context unknown never probed

  Fetch 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 response shape: - "context" (default, recommended): compact venue context — capped top authors, non-placeholder top clusters, and a recent-activity slice (the requested `year` is always included), with the duplicated venue block and full year histogram dropped server-side. - "full": the complete venue context (full year histogram, all top authors/ clusters, duplicated venue record).

  mcp-tool

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  {
    "type": "object",
    "title": "get_venue_contextArguments",
    "required": [
      "venue_key_or_url"
    ],
    "properties": {
      "view": {
        "enum": [
          "context",
          "full"
        ],
        "type": "string",
        "title": "View",
        "default": "context"
      },
      "year": {
        "anyOf": [
          {
            "type": "integer"
          },
          {
            "type": "null"
          }
        ],
        "title": "Year",
        "default": null
      },
      "venue_key_or_url": {
        "type": "string",
        "title": "Venue Key Or Url"
      }
    }
  }

  arguments 34 lines copy
• get_institution_context unknown never probed

  Fetch 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 shape (duplicated institution record and a bounded author list with explicit truncation metadata). Use get_institution_authors to page through the complete author list.

  mcp-tool

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  {
    "type": "object",
    "title": "get_institution_contextArguments",
    "required": [
      "institution_key_or_url"
    ],
    "properties": {
      "view": {
        "enum": [
          "context",
          "full"
        ],
        "type": "string",
        "title": "View",
        "default": "context"
      },
      "institution_key_or_url": {
        "type": "string",
        "title": "Institution Key Or Url"
      }
    }
  }

  arguments 22 lines copy

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