Awesome JEV
Server Details
Search Jev / System One projects and read their recorded inclusion evidence.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- daftAI2026/awesome-jev
- GitHub Stars
- 14
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
The two tools split cleanly along the retrieve-one vs find-many axis: get_project fetches a single project by identity, while search_projects queries the collection. There is no overlap or plausible misselection between them.
Both names follow the same verb_noun snake_case pattern (get_project, search_projects). The verbs are precise and conventionally paired with the plural/singular noun forms, making the set highly predictable.
For a read-only public project directory, search plus fetch is the minimal viable surface, but two tools is thin — there is no separate enumeration tool for categories, tags or languages. The count is defensible yet borderline under-scoped.
Core discovery workflows are covered: keyword/category/tag/language search with bounded pagination, plus single-project retrieval with identity resolution. Minor gaps remain around enumerating available categories/tags/languages or traversing result sets beyond bounded snapshot pages.
Available Tools
2 toolsget_projectGet a projectARead-onlyIdempotentInspect
Read one public GitHub project and its inclusion evidence. Resolves known old addresses; missing or hidden identities return null.
Inputs: identity (required).
search_projectsSearch Awesome JEV projectsARead-onlyIdempotentInspect
Find public Jev / System One projects by keyword, category, tag or language. Returns bounded pages from a build snapshot.
Inputs: tag, page, sort, limit, +3 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables Codex to run shadow-mode evidence selection by reading source files, scoring passage relevance with Jev or local Eve models, and returning original text with provisional exclusion decisions.MIT
- AlicenseAqualityCmaintenanceEnables screening of article titles and abstracts against a research question or clinical query using TypeSafe Jev, returning include/maybe/exclude decisions with calibrated probabilities from PubMed searches, PMIDs, or custom records.32MIT
- AlicenseNot gradedqualityCmaintenanceEnables Claude to cheaply bulk-screen 30 or more short items (repo blurbs, issue titles, log lines, grep hits, test names) against one crisp yes/no criterion, using Jev to sort them into clear_yes, uncertain and clear_no buckets instead of spending its own tokens on each. It supports inline items or a project-local .json/.jsonl file read server-side to keep context cost low, while treating results as advisory only.GPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables coding agents to run source-bound evidence checks and bounded batch judgments for classification, extraction, and decision tasks via TypeSafe Jev.28 npmMIT
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