mcp-search
mcp-search is a Doc lookup & research skill for AI agents, published by elastic in the docs-builder repository on GitHub. Skillspace rates mcp-search D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Search, analyze, and author Elastic documentation using the remote MCP server. Use this when the user asks about Elastic product documentation, features, or APIs; wants to find, read, or verify existing docs pages; is writing or editing documentation; mentions cross-links between repos; asks about documentation structure, coherence, or consistency; wants to generate templates following Elastic content type guidelines; or references elastic.co/docs URLs or Elastic product names.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 21
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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