ZBS Index What actually exists in applied AI, with the source next to it

mcp server

jeda-ai

Visual AI for strategic thinking — SWOT, flowcharts, mindmaps, Gantt diagrams as polished SVG.

Description as published by the maintainer. Source

  • version 1.23.40
  • slowing

slowing — Registry entry last updated 2026-04-25.

What this server can do

5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

generate_diagram(type, edges, nodes, radar, style, theme, title, funnel, layout, prompt, pyramid, metadata, sections, subtitle, iconStyle, fontFamily, matrixRows, shapeStyle, xAxisLabel, yAxisLabel, defaultShadow, ganttHolidays, matrixColumns, matrixItemStyle, defaultArrowHead, defaultConnector, defaultLineStyle, defaultArrowStyle, defaultTitleStyle, defaultDividerStyle, defaultBlockArrowSize, defaultSceneAnimation, defaultShapeLineStyle, defaultConnectorAnimate, defaultSceneAnimationLoop, defaultSceneAnimationSpeed, defaultConnectorAnimateSpeed)
DEPRECATED alias for `generate_visual` (removed no earlier than v1.24.x). Use `generate_visual` going forward — identical behaviour. Required: prompt, type, sections, title, subtitle, style, shapeStyle, nodes, edges, layout, theme, defaultLineStyle, defaultArrowHead, defaultConnector, defaultShadow, defaultShapeLineStyle, defaultConnectorAnimate, defaultConnectorAnimateSpeed, defaultSceneAnimation, defaultSceneAnimationSpeed, defaultSceneAnimationLoop, defaultTitleStyle, defaultDividerStyle, defaultBlockArrowSize, defaultArrowStyle, ganttHolidays, pyramid, funnel, radar, iconStyle, fontFamily, matrixColumns, matrixRows, xAxisLabel, yAxisLabel, matrixItemStyle, metadata.
generate_framework_analysis(theme, raw_prompt, user_inputs, framework_id)
Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } } Required: framework_id.
generate_visual(type, edges, nodes, radar, style, theme, title, funnel, layout, prompt, pyramid, metadata, sections, subtitle, iconStyle, fontFamily, matrixRows, shapeStyle, xAxisLabel, yAxisLabel, defaultShadow, ganttHolidays, matrixColumns, matrixItemStyle, defaultArrowHead, defaultConnector, defaultLineStyle, defaultArrowStyle, defaultTitleStyle, defaultDividerStyle, defaultBlockArrowSize, defaultSceneAnimation, defaultShapeLineStyle, defaultConnectorAnimate, defaultSceneAnimationLoop, defaultSceneAnimationSpeed, defaultConnectorAnimateSpeed)
Generates a visual (flowchart, mindmap, matrix, timeline, Gantt, ER, sequence, swimlane, block diagram) as a self-contained SVG. Powered by Jeda.ai · Visual AI. REQUIRED post-processing on every success: the response's FIRST text block is a "SAVE THIS NOW" directive with a `curl -fsSL` one-liner (Step 1) and an inline-SVG fallback (Step 2). Always attempt Step 1 first; only fall back to Step 2 if curl exits non-zero. The user expects an "Image · SVG" file chip — not a markdown link or prose summary. The signed URL is safe to fetch (auth is in the query string). Two modes: (1) natural-language `prompt` → Data Agent + Design Agent build the visual; (2) structured `nodes` + `edges` for precise control. Visual types: matrix | mindmap | flowchart | block-diagram | timeline | gantt | er-diagram | sequence | process-flow. Default: auto-detected from prompt. Slash commands work too: `/matrix SWOT`, `/timeline roadmap`, `/process-flow procurement approval with finance and legal lanes`. For style options (themes, fonts, arrow styles, animations, per-edge overrides, matrix/process-flow specifics) call `get_style_options` first. Default theme is `pastel` — only override when the user explicitly names another. Example: { "prompt": "user signup with email verification", "theme": { "preset": "pastel" } } Required: prompt, type, sections, title, subtitle, style, shapeStyle, nodes, edges, layout, theme, defaultLineStyle, defaultArrowHead, defaultConnector, defaultShadow, defaultShapeLineStyle, defaultConnectorAnimate, defaultConnectorAnimateSpeed, defaultSceneAnimation, defaultSceneAnimationSpeed, defaultSceneAnimationLoop, defaultTitleStyle, defaultDividerStyle, defaultBlockArrowSize, defaultArrowStyle, ganttHolidays, pyramid, funnel, radar, iconStyle, fontFamily, matrixColumns, matrixRows, xAxisLabel, yAxisLabel, matrixItemStyle, metadata.
get_style_options(type, edges, nodes, radar, style, theme, title, funnel, layout, prompt, pyramid, metadata, sections, subtitle, iconStyle, fontFamily, matrixRows, shapeStyle, xAxisLabel, yAxisLabel, defaultShadow, ganttHolidays, matrixColumns, matrixItemStyle, defaultArrowHead, defaultConnector, defaultLineStyle, defaultArrowStyle, defaultTitleStyle, defaultDividerStyle, defaultBlockArrowSize, defaultSceneAnimation, defaultShapeLineStyle, defaultConnectorAnimate, defaultSceneAnimationLoop, defaultSceneAnimationSpeed, defaultConnectorAnimateSpeed)
Returns the full style-options catalog for `generate_visual` — theme presets, fonts, arrow styles, line styles, arrowheads, scene/connector animations, layout directions, per-edge overrides, and matrix/process-flow specifics. Call this once when you need to expose specific style choices to the user (e.g. "what themes are available?") or before composing a `generate_visual` call that needs non-default styling. Output is plain text, ~4 KB. Required: prompt, type, sections, title, subtitle, style, shapeStyle, nodes, edges, layout, theme, defaultLineStyle, defaultArrowHead, defaultConnector, defaultShadow, defaultShapeLineStyle, defaultConnectorAnimate, defaultConnectorAnimateSpeed, defaultSceneAnimation, defaultSceneAnimationSpeed, defaultSceneAnimationLoop, defaultTitleStyle, defaultDividerStyle, defaultBlockArrowSize, defaultArrowStyle, ganttHolidays, pyramid, funnel, radar, iconStyle, fontFamily, matrixColumns, matrixRows, xAxisLabel, yAxisLabel, matrixItemStyle, metadata.
recommend_framework(limit, persona, regulation, decision_stage, problem_statement)
Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 } Required: problem_statement.

Last successful function declaration observed on . Source: https://mcp.jeda.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://mcp.jeda.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 1.23.40 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-04-25 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-04-25 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 5 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe mcp.jeda.ai
mcp endpoint status ok The server listed 5 functions when asked. as of probe mcp.jeda.ai

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://mcp.jeda.ai/mcp — mcp.jeda.ai, observed , trust tier 1.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.