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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "jeda-ai": {
      "type": "http",
      "url": "https://mcp.jeda.ai/mcp"
    }
  }
}

claude mcp add --transport http jeda-ai https://mcp.jeda.ai/mcp

[mcp_servers.jeda-ai]
url = "https://mcp.jeda.ai/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "jeda-ai": {
      "type": "remote",
      "url": "https://mcp.jeda.ai/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "jeda-ai": {
      "type": "http",
      "url": "https://mcp.jeda.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=jeda-ai&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmplZGEuYWkvbWNwIn0%3D"
}

{
  "servers": {
    "jeda-ai": {
      "type": "http",
      "url": "https://mcp.jeda.ai/mcp"
    }
  }
}

{
  "mcpServers": {
    "jeda-ai": {
      "httpUrl": "https://mcp.jeda.ai/mcp"
    }
  }
}

extensions:
  "jeda-ai":
    enabled: true
    name: "jeda-ai"
    type: streamable_http
    uri: "https://mcp.jeda.ai/mcp"
    timeout: 300

Quality 85 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene86 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length2 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations5 of 5 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
warn
tools.token_costabout 18,730 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

5 tools, about 18,730 tokens to load them all · tool set c5d687a599a5 · checked 2026-10-19 19:01 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 76 / 100

no-repository

provenance55

liveness100

freshness65

hygiene80

+dns-namespace +website +reachable +uptime-100% ~updated-177d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.jeda.ai/mcp` streamable-http	none	yes	100%	899 ms	2025-11-25	2026-10-19

Tools (5)

`generate_diagram`read-only	DEPRECATED alias for `generate_visual` (removed no earlier than v1.24.x). Use `generate_visual` going forward — identical behaviour.
`generate_framework_analysis`read-only	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" } }
`generate_visual`read-only	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" } }
`get_style_options`read-only	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.
`recommend_framework`read-only	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 }

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "ai.jeda/jeda-ai",
  "icons": [
    {
      "src": "https://mcp.jeda.ai/icon.svg",
      "sizes": [
        "any"
      ],
      "mimeType": "image/svg+xml"
    },
    {
      "src": "https://mcp.jeda.ai/icon.png",
      "sizes": [
        "256x256"
      ],
      "mimeType": "image/png"
    },
    {
      "src": "https://solo.jeda.ai/mcp-logo.png",
      "sizes": [
        "512x512"
      ],
      "mimeType": "image/png"
    }
  ],
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.jeda.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.23.40",
  "websiteUrl": "https://jeda.ai",
  "description": "Visual AI for strategic thinking — SWOT, flowcharts, mindmaps, Gantt diagrams as polished SVG."
}