pipeworx-wikipediaSearch, summarize, and explore the structure of English Wikipedia articles with full-text search, section info, and random article retrieval.
Install via ClawdBot CLI:
clawdbot install brucegutman/pipeworx-wikipediaGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://gateway.pipeworx.io/wikipedia/mcpCalls external URL not in known-safe list
https://gateway.pipeworx.io/wikipedia/mcpAI Analysis
The skill's external API call to gateway.pipeworx.io is explicitly documented and consistent with its stated purpose of accessing Wikipedia data, suggesting legitimate functionality rather than hidden malicious behavior. However, the endpoint is not on a known-safe list and data flows to a third-party service, creating a low-risk privacy consideration for sensitive queries.
Audited Apr 16, 2026 · audit v1.0
Generated May 12, 2026
Students and researchers can use Wikipedia search and article summaries to quickly gather background information on topics. This reduces time spent browsing multiple sources.
Writers and journalists can fetch article structures and summaries to fact-check or outline pieces. The tool speeds up research for blogs, articles, or scripts.
Developers can integrate Wikipedia data into apps or datasets by extracting summaries and sections. Useful for building knowledge bases or enhancing product features.
Curious users can discover random articles for learning or entertainment. The random article feature provides serendipitous knowledge discovery.
Charge users per API call, with tiers based on monthly request volume. Revenue scales with usage.
Offer a free tier with limited calls (e.g., 100/day) and paid plans for higher limits or priority access. Attracts users then converts them.
License the API to other SaaS companies (e.g., CRM, content tools) as an add-on feature. Revenue from licensing fees.
💬 Integration Tip
Use the provided JSON-RPC endpoint with curl or any HTTP client. Store the MCP URL securely in configuration files.
Scored May 12, 2026
Manage a personal knowledge base by adding, searching, organizing, and reviewing articles, links, and notes with tags and natural language queries.
Generate a daily work report by automatically discovering all git repositories the user worked on, collecting commit logs across all branches, and summarizin...
日记引导助手。每日写作引导、感恩日记、反思日记、晨间日记、晚间总结、周总结模板。Journal prompts for daily writing, gratitude, reflection, morning pages, evening review, weekly summary. 日记、写作、反思、感恩。
Use when maintaining RDR2 (Red Dead Redemption 2) playthrough notes — logging an acquisition ("acquired X", "got N gold bars", "finished X"), answering in-game location/crafting questions, or reviewing the notes for duplicate or stale info. Triggers on RDR2, Red Dead Redemption, playthrough, legendary animal, talisman, trinket, valerian root, gold bar, horse, weapon, berry.
Microsoft OneNote integration. Manage Notebooks. Use when the user wants to interact with Microsoft OneNote data.
Use when a sales rep already has a customer who has expressed some need (from outreach follow-up, account-landing research, customer-initiated contact, or meeting notes) and needs to structurally validate whether that need is real, urgent, whose pain it actually is, and whether it matches the team's capability — before pushing to ROI proofing or buying-intent assessment. Triggers: '验证一下这个需求是不是真的', '需求真不真', '客户说痛但我不确定', '这个客户值不值得跟', '客户说会考虑但是真的吗', '谁拍板', '现有方案是什么', '切换成本', 'need validation', 'pain point validation', 'is this a real need', 'verify customer need'. Do NOT use for: scoring leads at line-item level, building target-customer profiles, calculating ROI, overall buying-intent scoring, opportunity-stage assessment, or writing outreach/cold messages.