Alexandre Caramaschi: cursos e aulas de GEO em português
com.alexandrecaramaschi/public-content · v1.5.0
58 cursos gratuitos de GEO, SEO e IA em português: texto das aulas, busca com fonte e contato.
MCPremoteno credentialsResearch & educationE-commerceDocuments & PDF
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 15 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 96/100
What it does: 15 tools · 15 read, 0 write · Research & education, E-commerce, Documents & PDF
Test call listCourses: worked (935 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +6
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
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Remote URL
https://alexandrecaramaschi.com/api/mcpTools
15 tools listed at last check
getBusinessInfoUse for who Alexandre Caramaschi is, what he offers at what price, or how to reach him. Returns the practice profile (consulting, free courses, research), the founder credential (fixed order), contact channels, base city, the founder link to Brasil GEO (BRGEO LTDA), offers with BRL prices and as-ofgetLocationUse for where the practice is based and where it serves. Returns city, state, country, ISO country code, IANA timezone with UTC offset, coordinates, the online-first mode and the coverage statement (remote, Brazil and abroad). No arguments.contactUsUse to tell a person how to contact Alexandre Caramaschi. Returns channels with instructions: WhatsApp link with a pre-filled message (primary), e-mail and contact form URL, plus the main call to action (free 30-minute GEO diagnosis). Read-only: never sends a message. No arguments.listCoursesUse to discover the free courses at alexandrecaramaschi.com/educacao and their slugs. Returns the hub URL, the course count and every course with slug, title, track (ia, seo, dev, dados, marketing), level 1 to 3 and canonical URL. No arguments; the list is complete, unpaged.getCourseDetailsUse to decide whether a course fits a learner. Returns the description, level with label and scale, declared module count, duration, last update, tags, prerequisite courses, eligibility, price (always free) with service level and replacement policy, the canonical URL and whether module text is retrigetCatalogManifestUse first, before bulk reading: which revision is published and what can be read. Returns the revision (build SHA and date), the content-hash normalization version, course count, courses with retrievable text, declared versus retrievable module counts, the coverage ratio (null if unknown) and per-cogetCourseModulesUse to get a course's reading order and the ids for getModuleContent. Returns the course, the revision, the module count and the ordered modules, each with a stable id, ASCII slug, order, title, description, duration, URL, and the sha256 and character length of its Markdown. Only courses marked contgetModuleContentUse to read one lesson. Returns the module text as Markdown (title, body, FAQ) with revision, author, language pt-BR, license CC BY 4.0, canonical URL and the sha256 of the whole document. Text over 40,000 characters comes in fragments: completeness 'partial', range in Unicode code points and nextCusearchContentUse to find where courses discuss something before reading whole modules. Returns ranked literal passages (BM25 fused with semantic similarity and the graph; matchedBy says which), each with citation, snippet and text; nextCursor pages on. source 'texto' is lesson text, with its code-point range ingetModuleMediaUse for a chapter's video lesson or podcast, or the moment where something is said. Returns the media of a course or module: each file (kind, title, description, src, duration, credit, chapter markers with links) and the transcript cue by cue, with seconds, mm:ss, file id and a URL that opens the plexploreKnowledgeGraphUse to see how courses, chapters and concepts connect: definitions, similar chapters, prerequisites, study order, occurrences, paths, Wikidata QIDs. Returns graph nodes, one mode per call: query (ranked nodes); node (c:<course>, k:<course>#<chapter> or x:<concept>) with neighbors by relation, paged,planLearningPathUse when a learner asks what to study, in which order, to reach a topic, course or chapter. Returns ordered steps ending at the goal, each with relation, provenance (declared prerequisite first, then inferred) and reason, plus total minutes and the first lesson URL. A goal outside the portal, or angetResearchPublicationsUse to cite Alexandre Caramaschi's research. Returns the author with ORCID, each publication with title, DOI, resolvable URL, venue, publication date and its source, plus CITATION.cff and the public knowledge base. SSRN and Zenodo deposits are not peer review; do not present them as such. No argumensearchUse to find course lessons on a topic (ChatGPT deep research). Returns up to 10 lessons in searchContent order, each with an id for fetch (<course>/<module>), title and HTTPS URL. No match: empty list; fetch answers document_not_found for unknown ids. For passages, use searchContent.fetchUse to read in full a document returned by search. Returns id, title, the whole lesson text in Markdown, its HTTPS URL and metadata (course, chapter, level, graphNode, lastModified). Graph ids (c:, k:, x:) also work: a readable chapter returns its lesson, other nodes their Markdown card. Unknown id
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