Mr-remon219/search-boost ↗★ 28

search-boost

Multi-engine web search for coding agents — one SearchBoost core (fused search, fetch, X) with MCP (Cursor, Codex, Claude Code, Grok Build, Antigravity), pi extension, and DeepSeek Harness bundle adapters 适合使用Cursor、Claude Code等工具并需要增强并行搜索与网页抓取的用户。

패키지
search-boost
호환성
미검증
버전
0.2.3
라이선스
MIT
최근 업데이트
2026. 9. 28.

설치

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Mr-remon219/search-boost

Tool Suite & Usage Guide

When integrated, agents automatically receive standard tool definitions and autonomously determine when to call them.

Tool Responsibilities & Boundaries

ToolBest Used ForBoundary / Non-Goals
fused_searchParallel multi-engine querying, deduplication, and diversity re-rankingA single search step; follow-up decisions remain with the parent agent
fetch_pageReading clean content from public URLs with optional keyword focusNot a browser with login state; cannot access internal/private networks
x_searchRetrieving public X posts, author timelines, or discussion threadsDoes not guarantee exhaustive comment threads or total sentiment sampling
adaptive_searchExperimental: intent-guided search selection and keyword continuationWorth-reading URLs and extractive descriptions; not verified answers
search_statsReading engine status, memory cache hits, and recent diagnostic statsRead-only; configuration readiness does not guarantee active external network reachability
search_layerViewing or switching compatibility search layer in MCPshow is read-only; changing layers mutates persistent configuration on disk

1. fused_search Multi-Engine Search

Dispatches queries across engines concurrently, normalizes URLs, strips redirects, and applies diversity filters.

Tool Arguments Example (JSON):

{
  "query": "Node.js 22 built-in WebSocket API guide",
  "include_domains": ["nodejs.org", "developer.mozilla.org"],
  "engine_pool": "free",
  "ranking": "balanced",
  "complexity": "simple",
  "max_results": 5
}
  • engine_pool: free (keyless Bing, DuckDuckGo, Yahoo, Exa-free), api (configured paid engines only), or hybrid (all available engines).
  • ranking: Scoring presets: balanced (default), research (favors authoritative/documentation sources), or fresh (favors recent publications).
  • complexity: simple (1 query variant), medium (up to 2 variants), complex (up to 3 deep variants).
  • community: Boolean (false by default). Set to true to blend real-time X developer discussions into the final result quota.

2. fetch_page Smart Content Reader

Reads webpage content from search URLs. Reads and cleans the origin first; curl handles transport compatibility when installed, and Jina Reader is the backup.

Tool Arguments Example:

{
  "url": "https://nodejs.org/api/globals.html",
  "focus": "AbortSignal.any"
}
  • focus (Optional): Filters and retains paragraphs matching the target keywords.

    [!TIP] A focus miss does not prove the information is absent from the page. If in doubt, re-fetch without focus to inspect the full context.


3. x_search X (Twitter) Intelligence

Designed for real-time technical tracking and first-party developer updates. Supports keyword search, author timelines, and thread conversations.

Tool Arguments Example:

{
  "query": "Claude 3.7 Sonnet hybrid reasoning from:AnthropicAI",
  "mode": "keyword",
  "max_results": 5
}
  • Precise Timestamps: When platform timestamps are missing or inconsistent, recovers true UTC creation times from 64-bit Snowflake IDs.
  • Native Operators: Full support for from:username, since:YYYY-MM-DD, and until:YYYY-MM-DD.

4. adaptive_search Jev Intent-Guided Search (Experimental)

Vercel support: in TUI → Jev credentials, enter https://ai-gateway.vercel.sh/v1 and a Vercel AI Gateway key. SearchBoost selects the official SDK evaluation model typesafe-ai/jev, not chat completions. The default TypeSafe /systemone path remains supported. Both paths use only the canonical user Jev credential, not environment keys, and respect server rate-limit delays.

The caller supplies questions, bound keywords and optional intent explaining useful search directions. Jev judges relevance, reading value and direction match (helpfulness, not agreement), then chooses continue/satisfied/exhausted per keyword; code handles unknown/pending decisions and finite budgets. Pointers and partial information can qualify. The score rewards strong results, new supplied topics and diminishing supplementary results; it is advisory, not answer completeness. Legacy facts are optional search topics, not mandatory acceptance conditions. See the implementation contract.

{
  "intent": "Prefer migration guides and concrete incompatibilities; include counterexamples.",
  "tasks": [{
    "context": "ExampleDB 4.2 upgrade impact",
    "targets": [{
      "id": "migration",
      "keywords": ["migration guide", "upgrade guide"],
      "question": "What migration steps are required from 4.1 to 4.2?"
    }]
  }],
  "page_size": 20
}
  • Up to 6 tasks, 4 targets per task, 12 total targets; legacy questions input remains supported.
  • results contains {url, title, description, valueScore, directionMatch, kind}; descriptions are extractive, scores are uncalibrated heuristics, and rejected/unassessed material is excluded.
  • Read more with {"cursor":""}: no new search or Jev call. Pages default to 20 results (max 50) and have a byte budget, but cumulative approved results have no fixed count cap.
  • Inspect retrievalSufficient, keywordProgress, pendingAssessments and warnings. coverageComplete is deprecated and always false in schemaVersion 3: answer completeness is not assessed. Search satisfaction, end of pagination and model approval do not establish truth or exhaustiveness.
  • Results are process-local, retained for up to 30 minutes / 32 recent result sets; expiry, eviction or restart invalidates cursors.
  • Optional task time_range distinguishes publication dates from event dates; unknown dates cannot qualify as today's evidence.

See the adaptive-search contract and limitations.


Engine Pools & Scoring Presets

engine_pool selects engines, ranking selects shared cross-pool weights, and complexity controls only budget. AnySearch is one logical engine: anonymous in free, key-required in api, and key-preferred in hybrid. Configure ANYSEARCH_API_KEY or config keys --set anysearch=KEY.

Enginebalancedresearchfresh
bing0.9570.9271.020
ddg0.9810.9030.927
yahoo0.9570.8770.902
exa-free1.0041.0850.951
tavily1.0491.1051.084
brave1.0040.9511.125
exa1.0491.1461.063
anysearch1.0041.0420.951

These are uncalibrated cold-start priors, not measured quality rankings. consensus-v2.1 combines original ranks, related-provider discounts and max+log consensus, with metadata adjustments capped at 20%. Quality and list-selection scores stay separate; zero-weight sources cannot vote. Recalibrate old min_score thresholds. See scoring and migration and pool routing.


----------------- Configuration Management -----------------

search-boost config keys # Manage API keys from CLI search-boost config keys --set anysearch=KEY # Configure the AnySearch key (ANYSEARCH_API_KEY) search-boost config layer # Switch default layer (free / api) search-boost config x --import-grok # Import X credentials from local Grok login search-boost config jev # Configure Jev endpoint and token