# Alexandrecaramaschi Public Content MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.alexandrecaramaschi%2Fpublic-content
Registry id: `mcp-registry/com.alexandrecaramaschi/public-content`
Status: live (checked 2026-10-27T06:08:26.453Z)

## Verdict

Alexandrecaramaschi Public Content MCP server answered 99.98% of Glimind's liveness checks over 30 days, better than 41% of MCP servers, with 1696 ms median handshake and 1 outage in 90 days. Its agent-readiness grade is A (97/100) across 15 tools, costing an agent about 3,480 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.98% | 41% of MCP servers |
| Median handshake latency | 1696 ms | 7% of MCP servers |
| p95 handshake latency | 4366 ms | — |
| Checks in 30 days | 5,015 | — |
| Outages, 90 days | 1 | — |
| Median recovery | 8 min | — |
| Agent-readiness score | 97/100 (A) | 90% of MCP servers |
| Tools | 15 | — |
| Tool-list size for an agent | ~3,480 tokens | 43% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "alexandrecaramaschi-public-content-mcp-s": {
      "type": "http",
      "url": "https://alexandrecaramaschi.com/api/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http alexandrecaramaschi-public-content-mcp-s https://alexandrecaramaschi.com/api/mcp
```

## Tools (15)

- `contactUs`: Use to tell a person how to contact Alexandre Caramaschi. Returns channels with instructions: WhatsApp link with a pre-filled message (primary), e-mail and cont
- `exploreKnowledgeGraph`: Use to see how courses, chapters and concepts connect: definitions, similar chapters, prerequisites, study order, occurrences, paths, Wikidata QIDs. Returns gra
- `fetch`: Use 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, gra
- `getBusinessInfo`: Use 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 f
- `getCatalogManifest`: Use first, before bulk reading: which revision is published and what can be read. Returns the revision (build SHA and date), the content-hash normalization vers
- `getCourseDetails`: Use to decide whether a course fits a learner. Returns the description, level with label and scale, declared module count, duration, last update, tags, prerequi
- `getCourseModules`: Use 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 st
- `getLocation`: Use 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-
- `getModuleContent`: Use 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 s
- `getModuleMedia`: Use 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
- `getResearchPublications`: Use to cite Alexandre Caramaschi's research. Returns the author with ORCID, each publication with title, DOI, resolvable URL, venue, publication date and its so
- `listCourses`: Use 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, t
- `planLearningPath`: Use 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, proven
- `search`: Use 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>), t
- `searchContent`: Use to find where courses discuss something before reading whole modules. Returns ranked literal passages (BM25 fused with semantic similarity and the graph; ma

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.