# Fedor Chishchin — AI agents & MCP servers

> Read-only facts about AI engineer Fedor Chishchin: services, case studies, posts, courses, contact.

- name: com.fedorthinks/site
- version: 1.1.0
- connection class: R0 (autonomous)
- trust: 83/100 flags: no-repository
- quality: 87/100 (new)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/com.fedorthinks%2Fsite
- tools: https://api.protogrid.dev/v1/servers/com.fedorthinks%2Fsite/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "site": {
      "type": "http",
      "url": "https://fedorthinks.com/mcp"
    }
  }
}
```


## Trust

- hygiene: 80
- liveness: 100
- freshness: 100
- provenance: 55
- drivers: +dns-namespace +website +reachable +uptime-100% +updated-4d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 87/100 (new)

### protocol: 88 (weight 25)

- pass `protocol.modern`: supports 2026-07-28 (server/discover)
- pass `protocol.stateless`: answers without a session
- pass `protocol.transport`: streamable HTTP
- warn `protocol.list_ttl`: tools/list declares ttlMs 0, so clients re-fetch it on every use

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 86 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 8 of 8 tools declare readOnlyHint or destructiveHint
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: list_case_studies (destructiveHint); get_post (destructiveHint); list_courses (destructiveHint); …
- pass `tools.token_cost`: about 1,210 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`: tool history recorded for 5 of the 7 days needed

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 8, about 1,210 tokens to load them all
- tool set hash: 6b0c886c7525e9dd4d052baac4c81356
- tools last changed: 2026-10-16T16:43:21.653Z
- badge: [![protogrid quality](https://protogrid.dev/badge/com.fedorthinks/site.svg)](https://protogrid.dev/servers/com.fedorthinks/site)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

- 2026-10-16 `get_course` added
  - The full text of one course as Markdown, by slug (from list_courses). Courses are long: each concept has a card with what it is, an example, the catch and related concepts.
- 2026-10-16 `list_courses` added
  - Fedor's express courses (plain-language explainers with a diagram per concept) on AI agents, MCP, RAG, evals, architecture, cloud and enterprise systems. Optionally filter by words in the title and summary. Returns slug, title, summary, level, reading time and URL; use get_course for the full text.

Full history: https://api.protogrid.dev/v1/servers/com.fedorthinks%2Fsite/changes

## Remotes

- https://fedorthinks.com/mcp (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

_none_

## Tools (8)

- `get_case_study`: The full text of one case study as Markdown, by slug (from list_case_studies).
- `get_contact_info`: How to hire or contact Fedor: the contact form and services URLs, his time zone, languages and usual response time.
- `get_course`: The full text of one course as Markdown, by slug (from list_courses). Courses are long: each concept has a card with what it is, an example, the catch and related concepts.
- `get_post`: The full text of one blog post as Markdown, by slug (from search_posts).
- `get_services`: The two services Fedor offers — AI agent development and MCP server development — with a short summary and the page URL of each.
- `list_case_studies`: Case studies of real systems Fedor built. Filter by focus: 'agents', 'mcp', 'other' or 'all' (default). Returns slug, title, summary and URL; use get_case_study for the full text.
- `list_courses`: Fedor's express courses (plain-language explainers with a diagram per concept) on AI agents, MCP, RAG, evals, architecture, cloud and enterprise systems. Optionally filter by words in the title and summary. Returns slug, title, summary, level, reading time and URL; use get_course for the full text.
- `search_posts`: Search Fedor's blog posts by words in the title and summary, optionally limited to one tag (e.g. 'agents', 'mcp'). Returns up to 10 matches, newest first; use get_post for the full text.