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Fodda Knowledge Graphs

NPM · FODDA-MCP · SCANNED AUG 3

Expert-curated knowledge graphs for AI agents — retail, beauty, sports, plus institutional data

Available components

+20 this week 64 Trust /100

Deprecated

This server is marked deprecated in the MCP registry.

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (108 of 109), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (108 of 109), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability67
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1249 tokens (~178/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · fodda-mcp

# add to Claude Code
claude mcp add piers-fawkes-fodda -- npx -y fodda-mcp
# add to Codex CLI
codex mcp add piers-fawkes-fodda -- npx -y fodda-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "piers-fawkes-fodda": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "fodda-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add piers-fawkes-fodda --command npx --arg -y --arg fodda-mcp
# ~/.hermes/config.yaml
mcp_servers:
  piers-fawkes-fodda:
    command: "npx"
    args: ["-y", "fodda-mcp"]
// mcp.json
{
  "mcpServers": {
    "piers-fawkes-fodda": {
      "command": "npx",
      "args": [
        "-y",
        "fodda-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 2 Aug 26 +59
    • Provenance: unverified → fail security
    • Known CVEs: unverified → partial security
    • Install scripts: unverified → pass security
    • Malware scan: unverified → pass security
    • License: unverified → fail functional
    • MCP protocol: unverified → pass functional
    • Maintenance: unverified → pass functional
    • Stability: unverified → 0.20 functional
    • Dependency health: unverified → partial functional
    • Schema quality: unverified → excellent functional
    • Tool coverage: unverified → 100 functional
    • Licence: SEE LICENSE IN LICENSE functional
  • 1 Aug 26 −14
    • Tool coverage: 100 → unverified functional
  • 31 Jul 26 +13
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −38
    • Malware scan: pass → unverified security
    • Tool coverage: 100 → unverified functional
    • Security disclosure: fail → unverified functional
    • First check of Schema quality: unverified functional
  • 27 Jul 26 44

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 108 packages

108 packages in the resolved dependency tree · 108 deprecated · 32 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 7 exposed · ~1,249 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
discover_adjacent_trends ~226

Find trends that are semantically similar to a given trend — useful for discovering 'what else should I be watching?' or expanding a research brief with related signals. Returns trends connected by AI-computed similarity, not editorial curation.

NameTypeReqDescription
graphIdstringyesSelect which curated graph to query. Use list_graphs to discover available options. Common values: 'retail', 'beauty', 'sports', 'psfk', 'sic', 'waldo', 'pew'.
include_editorialbooleanIf true, also include trends that are already editorially linked via RELATED_TO. Default: false (shows only AI-discovered connections)
limitnumberMaximum number of adjacent trends to return. Default: 10
min_scorenumberMinimum similarity score threshold (0-1). Higher = more similar. Default: 0.80
trend_idstringyesThe trendId of the seed trend to find adjacent possibilities for
userIdstringyesUnique identifier for the user (Required)
NameTypeReqDescription
adjacentarrayArray of semantically similar trends with similarity scores
countnumberNumber of adjacent trends returned
min_scorenumberMinimum similarity threshold applied
node_idstringThe seed trend ID queried
usageobject

No examples provided.

get_evidence ~139

Retrieve supporting signals, source articles, and structured evidence for a specific trend or concept. Designed for provenance, validation, and strategic briefing.

NameTypeReqDescription
for_node_idstringyesThe ID of the node (Trend or Article)
graphIdstringyesSelect which curated graph to query. Use list_graphs to discover available options. Common values: 'retail', 'beauty', 'sports', 'psfk', 'sic', 'waldo', 'pew'.
top_knumberNumber of evidence items to return (default 5)
userIdstringyesUnique identifier for the user (Required)
NameTypeReqDescription
evidencearrayArray of evidence items with source URLs, titles, snippets, relevance scores, place (geographic location of the article), and brand names
node_idstringThe node this evidence supports
usageobject

No examples provided.

get_label_values ~175

Discover available values for a specific category (e.g., Technology, Audience, RetailerType, Brand) to support structured filtering and exploration.

NameTypeReqDescription
graphIdstringyesSelect which curated graph to query. Use list_graphs to discover available options. Common values: 'retail', 'beauty', 'sports', 'psfk', 'sic', 'waldo', 'pew'.
labelstringyesThe label to fetch values for (e.g., 'Brand', 'Location', 'Technology', 'Audience', 'RetailerType', 'Trend')
propertystringOptional property to return values for. Defaults vary by label (Brand→name, Technology→slug, Audience→slug, Trend→trendName)
userIdstringyesUnique identifier for the user (Required)
NameTypeReqDescription
countnumberNumber of values found
labelstringThe label queried
propertystringThe property values were fetched from
valuesarrayArray of valid values for the label

No examples provided.

get_neighbors ~234

Explore how a trend, brand, or technology connects to related signals, concepts, and adjacent innovation patterns within the selected graph. Traversal is depth-limited for focused discovery.

NameTypeReqDescription
depthnumberTraversal depth (default 1, max 2)
directionstringTraversal direction: 'out' (default) follows outgoing edges, 'in' follows incoming edges
graphIdstringyesSelect which curated graph to query. Use list_graphs to discover available options. Common values: 'retail', 'beauty', 'sports', 'psfk', 'sic', 'waldo', 'pew'.
limitnumberMaximum results (default 50)
relationship_typesarrayFilter by relationship types: 'EVIDENCED_BY', 'RELATED_TO', 'SEMANTICALLY_SIMILAR', 'ASSOCIATED_BRAND', 'MENTIONS_BRAND', 'IN_LOCATION'
seed_node_idsarrayyesArray of node IDs to start traversal from
userIdstringyesUnique identifier for the user (Required)
NameTypeReqDescription
edgesarrayArray of relationships between nodes
nodesarrayArray of neighboring nodes
usageobject

No examples provided.

get_node ~109

Retrieve the full metadata and properties of a specific node within the knowledge graph, including labels and structured attributes.

NameTypeReqDescription
graphIdstringyesSelect which curated graph to query. Use list_graphs to discover available options. Common values: 'retail', 'beauty', 'sports', 'psfk', 'sic', 'waldo', 'pew'.
nodeIdstringyesThe ID of the node
userIdstringyesUnique identifier for the user (Required)
NameTypeReqDescription
displaystringDisplay name of the node
idstringNode ID
labelsarrayArray of node labels/types
propertiesobjectKey-value properties of the node

No examples provided.

list_graphs ~56

Discover available knowledge graphs and their schemas, including node types, relationship types, and versions. Use this tool first to find valid graphId values for other tools.

NameTypeReqDescription
userIdstringyesUnique identifier for the user (Required)
NameTypeReqDescription
graphsarrayArray of available graphs with their schemas

No examples provided.

search_graph ~310

Search across expert-curated PSFK knowledge graphs (Retail, Beauty, Sports and partner datasets) to retrieve structured trend clusters, signals, and supporting articles relevant to a query. Note: a server-side relevance gate may reduce results for brand/entity-specific queries — results with low semantic scores that don't mention query terms are automatically filtered out.

NameTypeReqDescription
filtersobjectOptional filters to narrow search results
graphIdstringyesSelect which curated graph to query. Use list_graphs to discover available options. Common values: 'retail', 'beauty', 'sports', 'psfk', 'sic', 'waldo', 'pew'.
include_evidencebooleanIf true, batch-fetch supporting evidence articles inline with results. Saves a separate get_evidence call per trend. Default: true. Each evidence item includes: sourceUrl, place (geographic location)…
limitnumberMaximum number of results (default 25, max 50)
querystringyesThe search query. Location terms (city/country names like 'London', 'Tokyo') are auto-detected and used to hard-filter results geographically. Geo terms auto-expand (e.g., 'London' also matches 'UK',…
use_semanticbooleanWhether to use semantic search (default true)
userIdstringyesUnique identifier for the user (Required)
NameTypeReqDescription
resultsarrayArray of matching nodes (trends, articles), each optionally with an 'evidence' array if include_evidence=true. When evidence is included, each evidence item contains: sourceUrl (article link), place…
search_methodstringSearch method used: 'vector', 'keyword', 'hybrid', or 'all_fallback'
totalnumberTotal number of results found
usageobjectBilling/usage metadata

No examples provided.