JEV Evidence MCP is a self-hosted, local-first Model Context Protocol (MCP) (https://modelcontextprotocol.io) server for coding-agent web research. Instead of dumping 20 full search results into an ex
View on GitHub ↗A self-hosted, open-source MCP server that uses TypeSafe JEV as a semantic evidence-selection layer for coding-agent web research.
Instead of dumping raw search results and full web pages into an expensive downstream coding model, this server filters twice with JEV — once at the search-result level (before fetching) and once at the content-block level (after parsing) — and returns compact evidence blocks with provenance.
A local MCP server exposing one primary tool, research:
It selects evidence. It does not rewrite, summarize, or generate content.
Coding agents burn large amounts of expensive context on irrelevant web content: 20 search hits fetched in full, boilerplate included. JEV (a System One decision model) returns calibrated yes/no judgments with one shared state and many questions per request, which makes it cheap to ask "is this result/block useful?" for dozens of candidates in a single call. Filtering before fetching also avoids network work entirely for discarded sources.
Key principle: JEV decides, code disposes. JEV answers semantic questions; all HTTP, parsing, batching, thresholds, budgets, and error handling are ordinary deterministic code. JEV output never mutates state directly — every response is validated (IDs, types, ranges, missing/ duplicate/unexpected answers) before the policy layer reads it.
1. Search (src/jevresearchmcp/search/): Brave provider returns normalized candidates (URL/title/snippet/domain). Malformed rows are rejected structurally, never semantically. 2. Result filtering (jev/questions.py + policy/results.py): one shared state pl
From the project README.
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