jev-seo
Experimental Rust SEO and GEO CLI and MCP server combining page checks, DuckDuckGo queries and optional Jev scoring.
This summary is based on how curated lists describe the project; its README was not available to review.
Overview
This jev-seo by akashpriyadarshii is listed as a zero-cost, agent-first SEO and Generative Engine Optimization search radar, packaged as a CLI suite and an MCP server. According to the list summaries, it combines page checks with DuckDuckGo queries and optional scoring by TypeSafe's Jev System One model, and is written in Rust.
No README was available for this entry, so details such as which questions Jev is asked, how scores are combined, how results are reported and how it is installed are not known here. The list entries describe it as experimental. Readers interested in SEO audits with Jev may want to compare it with other jev-seo projects, which document their methods in more detail. Anyone using it should check the repository directly for current status, license and setup steps, and should treat any visibility scores as rough heuristics rather than ranking predictions.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Score | How relevant or visible is this page for the query?(inferred) | — |
How it works
- Run a page check or search query from the CLI or MCP
- Fetch DuckDuckGo results
- Optionally score results with Jev
- Review the report
Strengths
- Usable from agents via MCP
- Uses DuckDuckGo rather than a paid SEO API
- Jev scoring is optional
Caveats
- No README was available to confirm details
- Described as experimental
- License not stated
At a glance
- Type
- MCP server
- Status
- prototype
- Language
- Rust
- Runtime
- CLI and MCP server
Use cases and integrations
How curated lists describe it
Zero-cost, agent-first SEO & Generative Engine Optimization (GEO) search radar CLI suite and MCP server powered by DuckDuckGo and TypeSafe Jev System One.
yibie/awesome-jevAn experimental Rust SEO/GEO CLI and MCP tool combining page checks, DuckDuckGo queries and optional Jev scoring.
logicrw/awesome-jev-projects
Frequently asked questions
What does it do?
Runs SEO and GEO checks with DuckDuckGo queries and optional Jev scoring, from a CLI or MCP server.
Is Jev required?
The list summary describes Jev scoring as optional.
How mature is it?
It is described as experimental, and no README was available.
Related projects
Self-hosted MCP research server that filters search results and page blocks with Jev, returning compact evidence with provenance.
MCP serverbetaMCP server that scores every search query, result and fetched page an agent sees for relevance, credibility and steering risk.
MCP serverbetaTypeScriptParallel web search CLI and MCP server where Jev scores fetched pages and picks which links to follow next.
ProjectbetaPython- Jev Search★ 534
Plain-language web search where a decision model like Jev picks query, sources and time range, then ranks Search1API results.
AppproductionTypeScript MCP server over Apple developer docs and WWDC transcripts that uses hybrid search, then Jev relevance scores to rank results.
MCP serverproductionTypeScriptLocal long-term memory for coding agents with an optional Jev reranker that orders recalled memories.
ProjectproductionTypeScript