Nerd Level Tech MCP server

• Addresshttps://nerdleveltech.com/api/mcpnot in the official registry: answered when asked

No entry in the official MCP registry names this server. It answered on nerdleveltech.com when the Atlas asked at the address servers are usually mounted on, so it is the vendor's own. Clients and catalogues that list servers from the registry do not show it.

• Stateanswerschecked 2026-10-27
• Tools11
• Server calls itselfnerdlevel-learn
• Server version0.2.0
• Protocol version2024-11-05

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 346 ms.

• Whether its tools do the product's job has not been judged yet.
• Checked on 2 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
• Answeredmeasuring2 of the 7 daily checks it takes to print a share
• Median first answer576 ms
• Space in an agent's context≈ 2,071 tokensthe definitions of all its tools (11), which an agent carries on every turn
• Tool definitionsB · 80 of 100
• Typed results0 of 11 toolsdeclared outputSchema: results come typed, read once

• Parameters without a description: in 2 of 11
• Not saying whether it only reads or can destroy: 11 of 11

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• search_posts

  Full-text search across NerdLevelTech blog posts. Matches title, description, tags, keywords, and category. Returns results sorted by relevance with URL-resolvable citations. Titles/descriptions are the stored English source; lang…

• get_post

  Fetch a single post by slug. Returns metadata + canonical URL + optional body excerpt (at most 2000 chars including the continue-reading link). Full content is served at the URL with attribution requirements per /llms.txt. An unknown slug…

• search_guides

  Full-text search across NerdLevelTech guides (long-form step-by-step tutorials, Layer 1). Bilingual: lang localizes the returned title, description and URLs. Filter by query and category. Returns results sorted by relevance with…

• get_guide

  Fetch a single guide by slug. Returns bilingual metadata (title and description in the requested language), canonical URL, Markdown twin URL and an optional body excerpt (at most 2000 chars including the continue-reading link). Full…

• search_courses

  Search the course catalog. Filter by query, category, and difficulty. Returns courses with module/lesson counts, the enrollment price in credits (credits_required: 0 = free, null when unknown) and canonical URLs.

• get_course

  Fetch a single course by slug, including its module list, lesson counts, learning outcomes and the enrollment price in credits (credits_required: 0 = free, null when unknown). An unknown slug returns isError.

• get_lesson

  Fetch metadata about a course module and, with lesson_slug, a link to that lesson page: titles, lesson counts, links (lesson_url, course_url, continue_url) and the access rules with the enrollment price in credits (credits_required, 0 =…

• list_topics

  Return the topic taxonomy derived from post tags + course tags/categories. Useful for agents that need to discover available content areas.

• get_credential_info

  Return how a learner earns a NerdLevelTech course certificate (live): the requirements (sign in, complete every lesson, pass every module quiz at its passing score, and pass every lab in courses that require labs), pricing (no certificate…

• search_models

  Search the AI model index: published API prices in USD per 1M tokens, context windows, licences (including whether open weights are downloadable now or only announced), capabilities and editorial picks. Prices are vendor facts, picks are…

• get_model

  Fetch one model by slug or alias: vendor-sourced pricing, context and output limits, licence and open-weight status, modalities, parameters, memory, knowledge cutoff, provenance links (maker, pricing, docs, Hugging Face, Ollama) with what…