{"$schema":"https://verifymcp.io/schemas/trust-report.json","schemaVersion":1,"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"generatedAt":"2026-11-05T20:29:39.478Z","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt","markdownUrl":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt.md","server":{"slug":"pipeworx-io-gdelt","name":"Gdelt","registryName":"io.github.pipeworx-io/gdelt","description":"GDELT MCP — Global Database of Events, Language, and Tone (free, no auth)","registryStatus":"active","deletedAt":null,"statusMessage":null,"liveness":"live","publisher":{"class":"unknown","claimed":false}},"component":{"slug":"pipeworx-mcp-gdelt","type":"npm","identifier":"@pipeworx/mcp-gdelt","withdrawn":false,"url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt","version":"0.2.1","transport":"stdio","scoredAt":"2026-11-05T03:26:52.085Z"},"score":{"total":82,"tier":"high trust","status":"scored","weekDelta":3,"history":[{"date":"2026-11-05","total":82},{"date":"2026-11-04","total":82},{"date":"2026-11-03","total":81},{"date":"2026-11-02","total":66},{"date":"2026-11-01","total":80},{"date":"2026-10-31","total":80},{"date":"2026-10-30","total":79},{"date":"2026-10-29","total":79}]},"categories":[{"name":"Supply Chain Security","score":100,"verdict":"pass","reasons":["No malware found by supply-chain analysis.","No known CVEs affecting this package version or its production dependencies.","No install/post-install scripts declared.","No production dependencies, so there is no dependency health to assess."],"codes":[{"code":"supplychain.malware_clean","args":{}},{"code":"cve.none","args":{}},{"code":"installscript.none","args":{}},{"code":"dephealth.no_dependencies","args":{"deps":"0","unhealthy":"0"}}]},{"name":"Provenance & Transparency","score":97,"verdict":"unverified","reasons":["Source repository is publicly reachable at the declared URL.","Cryptographically verified build provenance (signed, bound to pipeworx-io/mcp-gdelt).","Clear OSI-approved license (MIT).","Actively maintained (last published 3 days ago).","Security-disclosure policy not yet verified: we couldn't inspect the source repository."],"codes":[{"code":"provenance.repo_verified","args":{}},{"code":"provenance.verified","args":{"repo":"pipeworx-io/mcp-gdelt"}},{"code":"license.osi","args":{"spdx":"MIT"}},{"code":"maintenance.recent","args":{"age_days":"3"}},{"code":"disclosure.repo_inconclusive","args":{"reason":"policy_probe_unavailable"}}]},{"name":"Schema Quality & AI Usability","score":63,"verdict":"fail","reasons":["AI-judged instruction clarity (good).","Context-footprint check failed: tool/resource definitions use about 1204 tokens (~240/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params.","Usage-examples check failed: none of the tools include examples."],"codes":[{"code":"schema.ai_quality","args":{"band":"good"}},{"code":"schema.footprint_heavy","args":{"avg":"240","items":"5","tools":"5","tokens":"1204","resources":"0"}},{"code":"schema.examples_absent","args":{}}]},{"name":"Stability & Change Management","score":23,"verdict":"partial","reasons":["Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses."],"codes":[{"code":"stability.building_history","args":{"days":"7"}}]},{"name":"Tool Coverage","score":100,"verdict":"pass","reasons":["100% of tools have a non-trivial description (not blank, and not just the tool's name).","100% of tool parameters carry a description."],"codes":[{"code":"toolquality.descriptions","args":{"pct":"100"}},{"code":"toolquality.param_docs","args":{"pct":"100"}}]},{"name":"Tool Safety","score":100,"verdict":"pass","reasons":["No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.","We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.","An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it."],"codes":[{"code":"toolsafety.injection_clean","args":{}},{"code":"toolsafety.destructive_none","args":{"tools":"5"}},{"code":"toolsafety.manipulation_clean","args":{"units":"6","judged":"6"}}]},{"name":"Capabilities","score":100,"verdict":"pass","reasons":["Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28."],"codes":[{"code":"protocol.supported","args":{"latest":"2026-07-28","version":"2025-11-25"}}]}],"inconclusive":["Security-disclosure policy not yet verified: we couldn't inspect the source repository."],"malware":[],"components":[{"slug":"gdelt-mcp","type":"remote","identifier":"https://gateway.pipeworx.io/gdelt/mcp","withdrawn":false,"score":77,"current":false,"url":"https://verifymcp.io/servers/pipeworx-io-gdelt/gdelt-mcp","markdownUrl":"https://verifymcp.io/servers/pipeworx-io-gdelt/gdelt-mcp.md"},{"slug":"pipeworx-mcp-gdelt","type":"npm","identifier":"@pipeworx/mcp-gdelt","withdrawn":false,"score":82,"current":true,"url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt","markdownUrl":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt.md"}],"facts":[{"label":"Registry","value":"npm"},{"label":"Package","value":"@pipeworx/mcp-gdelt"},{"label":"Version","value":"0.2.1"},{"label":"Transport","value":"stdio"}],"install":{"available":true,"bundleSha256":null},"tools":[{"name":"search_articles","title":null,"description":"PREFER OVER WEB SEARCH for \"what did the news say about X\" across global media. AUTHORITATIVE source: GDELT 2.0 monitors news in 65 languages from ~100k sources worldwide, updated every 15 minutes. Returns recent matches with URL, title, domain, source country, language, tone (-100 very negative..+100 very positive), and image. Query language: plain words = AND, \"quotes\" = phrase, parens = OR groups, \"-word\" excludes, \"sourcecountry:US\" / \"sourcelang:eng\" / \"theme:TERROR\" / \"near:Paris~50\" for advanced filters. Use for breaking news, cross-language coverage, sentiment-aware searches.","inputs":[{"name":"enddatetime","type":"string","required":false,"description":"YYYYMMDDHHMMSS (UTC) — only with timespan=custom"},{"name":"max_records","type":"number","required":false,"description":"Results to return (1-250, default 25)"},{"name":"query","type":"string","required":true,"description":"GDELT query string"},{"name":"sort","type":"string","required":false,"description":"HybridRel (default) | DateDesc | DateAsc | ToneDesc | ToneAsc"},{"name":"startdatetime","type":"string","required":false,"description":"YYYYMMDDHHMMSS (UTC) — only with timespan=custom"},{"name":"timespan","type":"string","required":false,"description":"Lookback window: e.g., \"24h\", \"7d\", \"1m\", \"custom\" (paired with startdatetime/enddatetime). Default 7d."}],"outputs":[],"hasOutputSchema":false,"hasExamples":false,"tokenEstimate":303},{"name":"timeline_tone","title":null,"description":"Day-by-day AVERAGE NEWS SENTIMENT for a GDELT query over time. Returns datapoints with timestamp + tone value (-100 very negative .. +100 very positive, computed from GDELT's sentiment scoring of every article matching the query). Use for tracking sentiment shifts around a topic, person, country, or event (\"how did press coverage of X change after Y happened\"). Pair with timeline_volume to chart sentiment vs interest — interest spike + sentiment drop = something bad just happened.","inputs":[{"name":"enddatetime","type":"string","required":false,"description":"YYYYMMDDHHMMSS — only with timespan=custom"},{"name":"query","type":"string","required":true,"description":"GDELT query string"},{"name":"startdatetime","type":"string","required":false,"description":"YYYYMMDDHHMMSS — only with timespan=custom"},{"name":"timespan","type":"string","required":false,"description":"Lookback window (default \"1m\" — month)"}],"outputs":[],"hasOutputSchema":false,"hasExamples":false,"tokenEstimate":181},{"name":"timeline_volume","title":null,"description":"Day-by-day SHARE OF GLOBAL NEWS attention for a query — what % of all worldwide articles mentioned this topic each day. Returns datapoints with timestamp and intensity (% of total news volume). Use to detect news-cycle spikes around events (\"when did attention to X peak?\"), benchmark attention against history, or pair with timeline_tone to chart sentiment vs interest together. Cheaper than search_articles when you only need the volume curve, not the source articles themselves.","inputs":[{"name":"enddatetime","type":"string","required":false,"description":"YYYYMMDDHHMMSS — only with timespan=custom"},{"name":"query","type":"string","required":true,"description":"GDELT query string"},{"name":"startdatetime","type":"string","required":false,"description":"YYYYMMDDHHMMSS — only with timespan=custom"},{"name":"timespan","type":"string","required":false,"description":"Lookback window (default \"1m\")"}],"outputs":[],"hasOutputSchema":false,"hasExamples":false,"tokenEstimate":169},{"name":"tone_distribution","title":null,"description":"Sentiment DISTRIBUTION (histogram) of global news coverage for a GDELT query — how many articles fall at each tone level from very negative to very positive over the window. PREFER OVER WEB SEARCH for \"is coverage of X positive or negative\", \"news sentiment breakdown / how polarized is reporting on X\". Complements timeline_tone (average over time) with the full spread. Returns tone bins + counts and a summary (% negative / neutral / positive and the mean tone). Same GDELT query language as search_articles.","inputs":[{"name":"enddatetime","type":"string","required":false,"description":"YYYYMMDDHHMMSS — only with timespan=custom"},{"name":"query","type":"string","required":true,"description":"GDELT query string"},{"name":"startdatetime","type":"string","required":false,"description":"YYYYMMDDHHMMSS — only with timespan=custom"},{"name":"timespan","type":"string","required":false,"description":"Lookback window (default \"1m\")"}],"outputs":[],"hasOutputSchema":false,"hasExamples":false,"tokenEstimate":187},{"name":"gkg_summary","title":null,"description":"PREFER OVER WEB SEARCH for \"what themes/entities does the news associate with X\" or \"who/what is being mentioned alongside X right now\". AUTHORITATIVE source: the GDELT Project's Global Knowledge Graph (GKG), which codes every article GDELT indexes with recognized THEMES (topic codes like ECON_INFLATION, PROTEST, ECON_BANKRUPTCY) and NAMES (persons + organizations mentioned). Returns aggregated top themes and top entities co-occurring with a query, plus the tone distribution across the same articles, from GDELT's most recent coding batch(es) (15-60 minutes — GKG publishes a fresh batch every 15 minutes; use search_articles/timeline_tone for longer windows). Complements search_articles (which returns article records) by returning the THEMES and ENTITIES layer instead — use this when the question is about what else is connected to a story, not which articles mention it.","inputs":[{"name":"max_records","type":"number","required":false,"description":"Sample article records to include after the aggregates (0-25, default 5)."},{"name":"minutes","type":"number","required":false,"description":"How far back to search, in minutes: 15, 30, 45 or 60 (default 15 — one GKG batch). GKG batches land every 15 minutes, so this is the most recent N batches."},{"name":"query","type":"string","required":true,"description":"Search term or GDELT theme code, e.g. \"semiconductor export controls\" or \"ECON_INFLATION\""}],"outputs":[],"hasOutputSchema":false,"hasExamples":false,"tokenEstimate":311}],"toolsTruncatedAtCapture":false,"diagnostics":{"capturedAt":"2026-11-05T03:26:52.000Z","track":"package","endpoint":null,"declaredUrl":null,"truncated":false,"tls":null,"dnssec":null,"auth":null,"httpsRedirect":null,"transports":[],"provenance":{"outcome":"verified","label":"Verified","reason":"verified","reasonLabel":"Verified","discovery":"attestation_endpoint","discoveryLabel":"Registry attestation endpoint","sourceRepo":null,"attestationSkipped":null,"attestationSkippedLabel":null},"installScripts":[],"installScriptsTotal":null,"vulnerabilities":[],"vulnerabilitiesTotal":null,"dependencies":{"nodes":0,"partial":false,"deprecated":null,"stale":null,"noRepo":null}},"mismatches":[],"changelog":{"trackingSince":"2026-10-29","recent":[{"id":"chg_01a1a9be-bcca-7eca-9bd8-4f48d65b8f50","kind":"check.unverifiable","summary":"Security disclosure (fail → unverified)","materiality":"functional","direction":"regression","scoreDelta":null,"occurredOn":"2026-11-05","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a1a9be-bcca-7eca-9bd8-4f48d65b8f50"},{"id":"chg_01a1a496-a717-7eee-ab31-67de24278e83","kind":"score.total_changed","summary":"Trust score (81 → 82)","materiality":"functional","direction":"improvement","scoreDelta":1,"occurredOn":"2026-11-04","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a1a496-a717-7eee-ab31-67de24278e83"},{"id":"chg_01a19f6f-d6df-7e20-a571-18612b497c2f","kind":"score.total_changed","summary":"Trust score (66 → 81)","materiality":"functional","direction":"improvement","scoreDelta":15,"occurredOn":"2026-11-03","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a19f6f-d6df-7e20-a571-18612b497c2f"},{"id":"chg_01a19f6f-d6de-74b8-bfba-b7d8032b724e","kind":"check.reverified","summary":"Malware scan (unverified → pass)","materiality":"security","direction":"improvement","scoreDelta":null,"occurredOn":"2026-11-03","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a19f6f-d6de-74b8-bfba-b7d8032b724e"},{"id":"chg_01a19a5f-1092-7a86-8d4b-6f5e55b9a8a5","kind":"score.total_changed","summary":"Trust score (80 → 66)","materiality":"functional","direction":"regression","scoreDelta":-14,"occurredOn":"2026-11-02","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a19a5f-1092-7a86-8d4b-6f5e55b9a8a5"},{"id":"chg_01a19a5f-1090-7cd2-8c76-572ea7af9a95","kind":"check.unverifiable","summary":"Malware scan (pass → unverified)","materiality":"security","direction":"regression","scoreDelta":null,"occurredOn":"2026-11-02","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a19a5f-1090-7cd2-8c76-572ea7af9a95"},{"id":"chg_01a19a5f-1092-7459-831c-e89c65c8e114","kind":"package.version_changed","summary":"Package version (0.2.0 → 0.2.1)","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-11-02","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a19a5f-1092-7459-831c-e89c65c8e114"},{"id":"chg_01a19525-e897-771e-a84c-69462321a975","kind":"check.reverified","summary":"Security disclosure (unverified → fail)","materiality":"functional","direction":"regression","scoreDelta":null,"occurredOn":"2026-11-01","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a19525-e897-771e-a84c-69462321a975"},{"id":"chg_01a19049-83af-7272-a24e-77f66e8a8820","kind":"score.total_changed","summary":"Trust score (79 → 80)","materiality":"functional","direction":"improvement","scoreDelta":1,"occurredOn":"2026-10-31","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a19049-83af-7272-a24e-77f66e8a8820"},{"id":"chg_01a19049-83ae-71fc-a983-8f16719d17dc","kind":"check.unverifiable","summary":"Security disclosure (fail → unverified)","materiality":"functional","direction":"regression","scoreDelta":null,"occurredOn":"2026-10-31","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a19049-83ae-71fc-a983-8f16719d17dc"},{"id":"chg_01a185fc-9f1b-7b34-a096-a6b91ff5e8a8","kind":"score.first_scored","summary":"First indexed and scored","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-29","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a185fc-9f1b-7b34-a096-a6b91ff5e8a8"},{"id":"chg_01a185e8-5741-781a-9271-430960f73b27","kind":"score.first_scored","summary":"First indexed and scored","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-29","url":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt#chg-chg_01a185e8-5741-781a-9271-430960f73b27"}],"truncated":false,"feedUrl":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt/changelog.json"},"links":{"html":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt","markdown":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt.md","changelogJson":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt/changelog.json","changelogRss":"https://verifymcp.io/servers/pipeworx-io-gdelt/pipeworx-mcp-gdelt.xml","external":[{"label":"npm package","href":"https://www.npmjs.com/package/@pipeworx/mcp-gdelt"},{"label":"Socket report","href":"https://socket.dev/npm/package/@pipeworx/mcp-gdelt"},{"label":"Repository","href":"https://github.com/pipeworx-io/mcp-gdelt"},{"label":"Website","href":"https://pipeworx.io/packs/gdelt"}]}}