Fedor Chishchin — AI agents & MCP servers
Read-only facts about AI engineer Fedor Chishchin: services, case studies, posts, courses, contact.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'get_contact_info' description lacks action verbin get_contact_info
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"site": {
"url": "https://fedorthinks.com/mcp"
}
}
}Remote endpoints
https://fedorthinks.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (8)
🟢get_services(language)
The two services Fedor offers — AI agent development and MCP server development — with a short summary and the page URL of each.
Input Schema
{
"type": "object",
"properties": {
"language": {
"description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
"default": "en",
"type": "string",
"enum": [
"en",
"es",
"ru",
"zh"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_case_studies(focus, language)
Case studies of real systems Fedor built. Filter by focus: 'agents', 'mcp', 'other' or 'all' (default). Returns slug, title, summary and URL; use get_case_study for the full text.
Input Schema
{
"type": "object",
"properties": {
"focus": {
"description": "Which case studies to list.",
"default": "all",
"type": "string",
"enum": [
"agents",
"mcp",
"other",
"all"
]
},
"language": {
"description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
"default": "en",
"type": "string",
"enum": [
"en",
"es",
"ru",
"zh"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_case_study(slug, language)
The full text of one case study as Markdown, by slug (from list_case_studies).
Input Schema
{
"type": "object",
"properties": {
"slug": {
"description": "Case study slug, e.g. 'miamiflow'.",
"type": "string",
"minLength": 1,
"maxLength": 100
},
"language": {
"description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
"default": "en",
"type": "string",
"enum": [
"en",
"es",
"ru",
"zh"
]
}
},
"required": [
"slug"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢search_posts(query, tag, language)
Search Fedor's blog posts by words in the title and summary, optionally limited to one tag (e.g. 'agents', 'mcp'). Returns up to 10 matches, newest first; use get_post for the full text.
Input Schema
{
"type": "object",
"properties": {
"query": {
"description": "Words to look for; empty lists the newest posts.",
"default": "",
"type": "string",
"maxLength": 200
},
"tag": {
"description": "Only posts with this tag.",
"type": "string",
"maxLength": 40
},
"language": {
"description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
"default": "en",
"type": "string",
"enum": [
"en",
"es",
"ru",
"zh"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_post(slug, language)
The full text of one blog post as Markdown, by slug (from search_posts).
Input Schema
{
"type": "object",
"properties": {
"slug": {
"description": "Post slug, e.g. 'agents-that-remember'.",
"type": "string",
"minLength": 1,
"maxLength": 120
},
"language": {
"description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
"default": "en",
"type": "string",
"enum": [
"en",
"es",
"ru",
"zh"
]
}
},
"required": [
"slug"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_courses(query, language)
Fedor's express courses (plain-language explainers with a diagram per concept) on AI agents, MCP, RAG, evals, architecture, cloud and enterprise systems. Optionally filter by words in the title and summary. Returns slug, title, summary, level, reading time and URL; use get_course for the full text.
Input Schema
{
"type": "object",
"properties": {
"query": {
"description": "Words to look for, e.g. 'mcp' or 'snowflake'; empty lists all courses.",
"default": "",
"type": "string",
"maxLength": 200
},
"language": {
"description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
"default": "en",
"type": "string",
"enum": [
"en",
"es",
"ru",
"zh"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_course(slug, language)
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.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"description": "Course slug, e.g. 'mcp-express'.",
"type": "string",
"minLength": 1,
"maxLength": 120
},
"language": {
"description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
"default": "en",
"type": "string",
"enum": [
"en",
"es",
"ru",
"zh"
]
}
},
"required": [
"slug"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_contact_info(language)
How to hire or contact Fedor: the contact form and services URLs, his time zone, languages and usual response time.
Input Schema
{
"type": "object",
"properties": {
"language": {
"description": "Language of the returned text: en, ru, es or zh. Defaults to en.",
"default": "en",
"type": "string",
"enum": [
"en",
"es",
"ru",
"zh"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Community
Evidence