Fodda Knowledge Graphs MCP Server

https://mcp.fodda.ai/mcp Remote v1.33.0

Published by mcp.fodda.ai — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.

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

Trust grade
A
97/100
Last scanned get badge →
Trust
A · 97/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Live
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 97/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 3 = 97. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 1

medium Untrusted input can drive an external actionMTC-FLOW-005

Untrusted-input tools ([list_analysts, search_graph, get_neighbors, brand_tracker, get_domain_intelligence, get_expert_intelligence, get_report_intelligence, search_insights, get_detected_themes]) co-exist with external-action tools ([manage_scheduled_reports, begin_expert_onboarding]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.

Evidence: untrusted [list_analysts, search_graph, get_neighbors, brand_tracker, get_domain_intelligence, get_expert_intelligence, get_report_intelligence, search_insights

Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.

Location: flow list_analysts → manage_scheduled_reports

Tools 44

Each tool and what it can reach — enumerated from the running server.

  • begin_expert_onboardingnetwork egress
  • brand_trackeringests untrusted input
  • get_detected_themesingests untrusted input
  • get_domain_intelligenceingests untrusted input
  • get_expert_intelligenceingests untrusted input
  • get_neighborsingests untrusted input
  • get_report_intelligenceingests untrusted input
  • list_analystsingests untrusted input
  • manage_scheduled_reportsnetwork egress
  • search_graphingests untrusted input
Show 34 more tools ↓
  • search_insightsingests untrusted input
  • brainstorm_topicno sensitive capability
  • check_deliverable_statusno sensitive capability
  • check_research_statusno sensitive capability
  • check_supplemental_statusno sensitive capability
  • confirm_themesno sensitive capability
  • consult_analystno sensitive capability
  • deep_research_topicno sensitive capability
  • discover_adjacent_trendsno sensitive capability
  • draft_linkedin_articleno sensitive capability
  • draft_linkedin_postno sensitive capability
  • generate_visualno sensitive capability
  • get_company_earningsno sensitive capability
  • get_earnings_divergenceno sensitive capability
  • get_earnings_intelligenceno sensitive capability
  • get_evidenceno sensitive capability
  • get_label_valuesno sensitive capability
  • get_my_accountno sensitive capability
  • get_my_earningsno sensitive capability
  • get_nodeno sensitive capability
  • get_onboarding_statusno sensitive capability
  • get_supplemental_contextno sensitive capability
  • list_graphsno sensitive capability
  • read_urlno sensitive capability
  • request_deliverableno sensitive capability
  • run_deep_researchno sensitive capability
  • schedule_interviewno sensitive capability
  • search_statisticsno sensitive capability
  • send_feedbackno sensitive capability
  • sign_up_free_accountno sensitive capability
  • submit_basic_infono sensitive capability
  • submit_expertise_analysisno sensitive capability
  • toggle_graph_preferenceno sensitive capability
  • update_user_profileno sensitive capability

Toxic flows 1

Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v1.33.0 latest A 97/100 1 1.10.0 2026-07-25

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Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 97/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan https://mcp.fodda.ai/mcp --online

Use the free API → How scoring works

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