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Explore what tracked Claude Connectors and ChatGPT Plugins can actually do. Search by tool, Plugin, Brand, category, verb, or access requirement.

Latest snapshot2026-09-11USmethodology registry-public-v1

Searchable tools

113,017

Authless tools

7,424

Auth required

100,766

Described tools

61,166

113,017 tools

Get Last Flow Run Statusget · Get the LATEST run status of a KB flow — works for both one-shot and scheduled flows. For a one-shot create (createNewsKb / createSocialKb / createResearchAgentKb), poll this to completion: it returns the task status and, once complete, the resolved knowledgeBaseId to attach downstream. For a scheduled flow it reports the MOST RECENT run on the schedule cadence — mind the run times: between runs it shows the last completed run, and the returned knowledgeBaseId is the first run's KB (each run materializes a new timestamp-suffixed KB). When a run FAILED, the returned message carries the failure reason; it is omitted otherwise.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
List Archived Insight Boosterslist · List the caller's archived insight booster projects (soft-deleted). Use this when the user asks about previously archived projects or wants to restore one.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
List Fileslist · List the files stored in the caller’s organization, each with its name, group, extension and size. Use it to discover the exact stored name to pass to file-consuming tools.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
List Insight Booster Knowledge Baseslist · List the knowledge bases attached to an insight booster project, with their current sync status.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
List Insight Booster Report Templateslist · List all AI-generated report templates in the caller's organization (compact form).Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
List Insight Boosterslist · List the caller's insight booster projects in compact form. Use this to discover what projects exist before fetching details on a specific one.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
List Knowledge Baseslist · List the knowledge bases in the caller's organization. Use this to recover a knowledgeBaseId you no longer have, or to discover what knowledge bases exist before attaching one to an Insight Booster or inspecting it — do NOT guess an id. Each entry includes the id, name, status, document volume, creation/update timestamps, whether it is fed by a scheduled flow, and the Insight Booster projects it is linked to. Optionally pass nameContains to narrow the list by a case-insensitive name substring.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
List Owned Insight Booster Report Templateslist · List AI-generated report templates owned by the caller (subset of listInsightBoosterReportTemplates).Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Rename Insight Boosterrename · Rename an insight booster project.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Rename Insight Booster Workbenchrename · Rename a workbench within an insight booster project.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Reorder Insight Booster Workbenchesreorder · Reorder workbenches within an insight booster project. Provide the desired final position list.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Restore Insight Boosterrestore · Restore a previously archived insight booster project so it appears in the active project list again.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Set Insight Booster Document Filterset · Set the document filter on an insight booster project. Replaces any previously configured document filter.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Set Insight Booster Knowledge Base Filtersset · Set the pre-filters for a single knowledge base attached to an insight booster project. Pre-filters scope which documents from that knowledge base feed downstream analyses. Replaces ALL of this knowledge base's pre-filters with the ones provided — include every filter you want to keep; an omitted kind (metadataFilters / semanticFilter / timestampFilter) is removed, and an empty call clears them all. Other knowledge bases are never affected.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Set Insight Booster Metadata Filterset · Set the metadata filter on an insight booster project. Replaces any previously configured metadata filter.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Set Insight Booster Timestamp Filterset · Set the timestamp (date-range) filter on an insight booster project.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Update Insight Booster Bump Workbench Configupdate · Update the data configuration of a bump (trend-evolution) workbench (source type, broadness level, metadata field). The target workbench must be of type "bump" — call getInsightBoosterWorkbench first if the type isn't known.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Update Insight Booster Landscape Workbench Configupdate · Update the data configuration of a landscape workbench (sizing/coloring fields, outlier policy, display flags). The target workbench must be of type "landscape" — call getInsightBoosterWorkbench first if the type isn't known.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Update Insight Booster Matrix Workbench Configupdate · Update the data configuration of a matrix workbench (cell instruction, engine, row/column definitions). The target workbench must be of type "matrix" — call getInsightBoosterWorkbench first if the type isn't known.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Update Insight Booster Radar Workbench Configupdate · Update the data configuration of a radar workbench (analysis mode, angular/radial/size axes, predefined segments). The target workbench must be of type "radar" — call getInsightBoosterWorkbench first if the type isn't known.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Update Insight Booster Reportupdate · Update an AI-generated report. Pass templateId to update a saved template, or id + workbenchId to update the report attached to a workbench — exactly one of the two, never both. The `name` field applies to templates only.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Update Insight Booster Research Bot Configupdate · Update the research-bot configuration for an insight booster project.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Update Insight Booster Viewupdate · Update an existing view on an insight booster project.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Update Insight Booster Workbench UI Configupdate · Update a workbench's UI configuration (color schemes, layout prefs, etc.).Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Validate Insight Booster Namevalidate · Check whether a proposed insight booster project name is available in the caller's organization.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Validate Insight Booster Report Namevalidate · Check whether a proposed report template name is available in the caller's organization.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Validate Insight Booster View Namevalidate · Check whether a proposed view name is available on the project (i.e. not already taken by another view).Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
apply_project_filterapply · Apply the project-level filters and return document ids that match. IDs are returned in the form '<dbcollection>-<hash>'.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
ask_research_chatbotask · Send a question to the research bot and receive a generated answer with supporting references and document IDs. This endpoint performs search and generation; it has no side effects apart from usage reporting.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
check_kb_has_timestampcheck · Return a map from KB id to boolean indicating whether documents in that KB have a timestamp field.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
fetch_project_metadata_schemafetch · Return the union of metadata schema entries from all KBs attached to the project. Useful to drive filter UIs and validation.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
fetch_research_chatbot_conversation_historyfetch · Return the last N messages from the research-bot conversationDcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
generate_report_sections_from_landscapegenerate · Generate structured report sections for a given interest area. The returned object contains sections suitable for inclusion in a generated report. This operation can be useful to decide on Report Generator sections based on project data.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_bump_resultget · MCP version of generate_bump. Returns {'result': ...}. Projection is applied to the value inside result, not to the result envelope. Before projection, result has the BumpChartResponse schema. Top-level fields are day, week, month, quarter, semiyear, and year. Each top-level field is an array of BumpChartDataPoint objects. Each data point has x: string (time bucket label), y: string (series or category label), and val: integer (rank or numeric value). Always provide projection as {'pipeline': [...]} using MongoDB aggregation syntax. Use $project for selecting granularities such as week or month. Use $map when reshaping data point arrays. Use $slice to limit large arrays. Use $filter to keep only data points matching x, y, val, or other conditions. Do not project result.* paths; project day, week, month, quarter, semiyear, year, and their nested fields directly. Use the smallest projection that returns only the fields needed to answer the user, because the projected result will be sent to an LLM.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_growth_resultget · MCP version of analyze_growth. Returns {'result': ...}. Projection is applied to the value inside result, not to the result envelope. Before projection, result is an array of GrowthChartTopicPoint objects. Each topic point has id: string, title: string, summary: string, examples: array, metadata: object, size: integer, growths: object, and volumes: object. examples is an array of source example objects. Each example has text: string, source: string or null, and url: string or null. metadata is an object with string keys and string/number values. growths is an object keyed by time-bucket label with number or null values. volumes is an object keyed by time-bucket label with integer values. Always provide projection as {'pipeline': [...]} using MongoDB aggregation syntax. Use $project for field selection and reshaping. Use $map when selecting fields from nested examples. Use $slice or $limit to reduce large arrays. Use $filter or $match to keep only topics matching title, size, growth, volume, or metadata conditions. Do not project result.* paths; project id, title, summary, examples, metadata, size, growths, volumes, and their nested fields directly. Use the smallest projection that returns only the fields needed to answer the user, because the projected result will be sent to an LLM.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_kb_field_statisticsget · Return aggregated statistics for the requested metadata field (categoric counts, numeric min/max/mean, or date range).Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_landscape_max_broadnessget · Retrieve the maximum broadness level supported for `analyze_growth`. This value determines the highest level of topic aggregation available for the landscape. Use to validate or bound broadness parameters in growth analysis requests.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_landscape_resultget · MCP version of generate_landscape. Returns {'result': ...}. Projection is applied to the value inside result, not to the result envelope. Before projection, result has the LandscapeGeneratorResponse schema. Top-level fields are documents and topics. documents is an array of document point objects. Each document has id: string (document identifier), x: number and y: number (map coordinates), radius: number or null (visual size), and color_value: string or null (visual color bucket). topics is an array of topic level objects. Each topic level has level: integer (broadness level) and topic_points: array. topic_points is an array of topic objects. Each topic has id: string, x: number, y: number, radius: integer, title: string, summary: string, examples: array, and metadata: object with string keys and string/number values. examples is an array of source example objects. Each example has text: string, source: string or null, and url: string or null. Always provide projection as {'pipeline': [...]} using MongoDB aggregation syntax. Use $project for top-level field selection and reshaping. Use $map when selecting fields from nested arrays such as topics, topic_points, or examples. Use $slice to limit large arrays. Use $filter to keep only array items matching a condition. Do not project result.* paths; project documents, topics, and their nested fields directly. Use the smallest projection that returns only the fields needed to answer the user, because the projected result will be sent to an LLM.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_matrix_resultget · MCP version of generate_matrix. Returns {'result': ...}. Projection is applied to the value inside result, not to the result envelope. Before projection, result is an array of GenerateMatrixUnitResponse objects. Each matrix cell has id: integer, row: string, column: string, output: string, size: integer, and references: array. references is an array of objects with source: string and url: string or null. Always provide projection as {'pipeline': [...]} using MongoDB aggregation syntax. Use $project for field selection and reshaping. Use $map when selecting fields from nested references. Use $slice or $limit to reduce large arrays. Use $filter to keep only cells matching row, column, size, or other conditions. Do not project result.* paths; project id, row, column, output, size, references, and their nested fields directly. Use the smallest projection that returns only the fields needed to answer the user, because the projected result will be sent to an LLM.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_project_time_rangeget · Compute and return the earliest and latest timestamps available across the project's knowledge bases.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_radar_resultget · MCP version of generate_radar. Returns {'result': ...}. Projection is applied to the value inside result, not to the result envelope. Before projection, result is an array of RadarSegment objects. Each segment has id: string, title: string, and bubbles: array. bubbles is an array of RadarBubble objects. Each bubble has id: string, title: string, summary: string, count: integer, angularScale: number, radialScale: number, sizeScale: number or object, references: array, examples: array of strings, and isPredefined: boolean. references is an array of source example objects. Each reference has text: string, source: string or null, and url: string or null. Always provide projection as {'pipeline': [...]} using MongoDB aggregation syntax. Use $project for field selection and reshaping. Use $map when selecting fields from nested arrays such as bubbles or references. Use $slice or $limit to reduce large arrays. Use $filter to keep only segments or bubbles matching a condition. Do not project result.* paths; project id, title, bubbles, and their nested fields directly. Use the smallest projection that returns only the fields needed to answer the user, because the projected result will be sent to an LLM.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_report_resultget · MCP JSON version of generate_report. Returns {'result': ...}. Projection is applied to the value inside result, not to the result envelope. Unlike the REST endpoint, this endpoint returns generated report section JSON instead of a streamed file. Before projection, result is an array of section body objects. Each section body has output: string (generated section text), references: array, and match_score: integer (reference match count; 0 for agentic-generated sections). references is an array of source reference objects; each reference has source: string or null and url: string or null. Always provide projection as {'pipeline': [...]} using MongoDB aggregation syntax. Use $project for field selection and reshaping. Use $map when selecting fields from nested references. Use $slice or $limit to reduce large arrays. Do not project result.* paths; project output, references, match_score, and their nested fields directly. Use the smallest projection that returns only the fields needed to answer the user, because the projected result will be sent to an LLM.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
get_search_queries_from_agentget · Maps an open-ended interest area onto experimentally validated search keywords by calling the workflow backend search-query agent, which tries candidate queries against live News/social-media APIs instead of guessing keywords. Call this before creating a News or social-media knowledge base whenever the user has not already supplied concrete search keywords.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
ib_get_documentsib · Return full document objects for use in a text-view component. Supports selection_ids to fetch a specific set of documents.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
ib_search_documentsib · Search across all knowledge bases attached to the project and return matching document ids. This returns ids only; use text-view endpoints for document text.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
kb_search_documentskb · Perform a full-text or metadata-restricted search inside the specified knowledge base. This endpoint returns full texts.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
run_scenario_analysisrun · MCP version of generate_scenarios. Run a morphological scenario analysis for a scenario workbench, based on the trends/topics found by the radar workbench it references. Returns {'result': ...}. Projection is applied to the value inside result, not to the result envelope. Before projection, result is an object with dimensions: array and scenarios: array. dimensions lists the final dimensions (driving forces) and their options used to build the scenarios, each with id: string, title: string, enableAdditionalOptions: boolean, source: string ('user' or 'llm'), and options: array of {id: string, title: string, source: string}. scenarios is an array of ScenarioResult objects. Each scenario has id: string, title: string or null, description: string or null, dimensions: array, likelihood_rationale: string, likelihood_score: number (0-1), impact_rationale: string, impact_score: number (0-1), and highlighted: boolean. title and description are only generated for highlighted scenarios (both scores above the highlighting threshold); for all other scenarios they are null. A scenario's dimensions is an array of objects, each with label: string (the dimension title) and value: string (the title of the option chosen for that dimension). Always provide projection as {'pipeline': [...]} using MongoDB aggregation syntax. Use $project for field selection and reshaping. Use $map when selecting fields from nested arrays such as dimensions, scenarios, and options. Use $slice or $limit to reduce large arrays. Do not project result.* paths; project dimensions, scenarios, and their nested fields directly. Use the smallest projection that returns only the fields needed to answer the user, because the projected result will be sent to an LLM.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
sample_kbsample · Return a small sample of documents from the specified knowledge base for preview.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
update_insight_booster_scenario_workbench_configupdate · Update the data configuration of a scenario workbench (dimensions/options scenarios are built from, generation language, focus, and the source radar workbench). The target workbench must be of type "scenario" — call getInsightBoosterWorkbench first if the type isn't known.Dcipher AnalyticsDcipher AnalyticsPluginrequiredData & Analytics
Get Accounts Toolget · Lista contas financeiras com saldo, finalidade e participação no caixa disponível. Use para selecionar uma conta ou analisar saldos por conta. Não use para responder a posição financeira geral; nesse caso, consulte a posição financeira atual. Por padrão, omite contas de reserva de meta.MonayMonayPluginrequiredFinance

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