FreshContext

Context integrity for AI agents: evaluate freshness, confidence, provenance, and decision readiness.

사용해야 할까요

품질 및 안전성

A
설명 품질
95%
스키마 완전성
100%
이름 품질
83%
오염 위험
80%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (5)

  • HIGHTool poisoning patterns detected
  • LOWTool 'extract_finance' description lacks action verbextract_finance에서
  • LOWTool 'extract_landscape' description lacks action verbextract_landscape에서
  • LOWTool 'extract_idea_landscape' description lacks action verbextract_idea_landscape에서
  • INFOTool description contains placeholder or incomplete textextract_hackernews에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~2,991토큰 (도구 정의)
~942 B일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 2.34%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "freshcontext": {
      "command": "npx",
      "args": [
        "freshcontext-mcp"
      ]
    }
  }
}

실행 가능한 패키지

npmfreshcontext-mcp0.5.3stdio

원격 엔드포인트

https://freshcontext-mcp.gimmanuel73.workers.dev/mcpstreamable-http
https://api.freshcontext.dev/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (22)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢evaluate_context(profile, intent, signals, now)

Evaluate caller-provided candidate context and return decision-ready output. This is the primary FreshContext judgment path: it does not fetch, crawl, scrape, browse, read folders, or call adapters.

입력 스키마

{
  "type": "object",
  "properties": {
    "profile": {
      "type": "string",
      "minLength": 1,
      "description": "Source Profile id, e.g. academic_research, jobs_opportunities, market_finance, official_docs, local_custom."
    },
    "intent": {
      "type": "string",
      "minLength": 1,
      "description": "Intent Profile id, e.g. citation_check, student_research, developer_adoption, job_search, market_watch, business_due_diligence, medical_literature_triage."
    },
    "signals": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "source": {
            "type": "string",
            "minLength": 1,
            "description": "Source URL, URI, document id, or stable source label."
          },
          "source_type": {
            "type": "string",
            "description": "Source type such as arxiv, jobs, official_docs, custom, or user_provided."
          },
          "title": {
            "type": "string"
          },
          "content": {
            "type": "string"
          },
          "published_at": {
            "type": [
              "string",
              "null"
            ]
          },
          "content_date": {
            "type": [
              "string",
              "null"
            ]
          },
          "retrieved_at": {
            "type": [
              "string",
              "null"
            ]
          },
          "semantic_score": {
            "type": "number",
            "description": "Optional relevance score from 0..1. Core clamps out-of-range values."
          },
          "date_confidence": {
            "type": "string",
            "enum": [
              "high",
              "medium",
              "low",
              "unknown"
            ]
          },
          "freshness_confidence": {
            "type": "string",
            "enum": [
              "high",
              "medium",
              "low"
            ]
          },
          "status": {
            "type": "string",
            "enum": [
              "success",
              "partial",
              "stale",
              "failed",
              "unknown"
            ]
          },
          "metadata": {
            "type": "object",
            "additionalProperties": {}
          }
        },
        "required": [
          "source"
        ],
        "additionalProperties": true
      },
      "minItems": 1,
      "maxItems": 100,
      "description": "Candidate context items provided by the caller. FreshContext evaluates these; it does not retrieve them."
    },
    "now": {
      "type": "string",
      "description": "Optional ISO timestamp for deterministic evaluation."
    }
  },
  "required": [
    "profile",
    "intent",
    "signals"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_github(url)

Extract real-time data from a GitHub repository — README, stars, forks, last commit, topics. Returns timestamped freshcontext.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "Full GitHub repo URL e.g. https://github.com/owner/repo"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_hackernews(url)

Extract top stories or search results from Hacker News. The url field accepts an HN/Algolia URL or a plain search query.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "minLength": 1,
      "description": "HN URL e.g. https://news.ycombinator.com/news, Algolia API URL, or search query e.g. 'browser agents'"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_scholar(url)

Extract research results (title, authors, year, snippet) from a Google Scholar search URL. Scholar exposes only the publication year, not an exact date, so freshness confidence is capped at medium.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "Google Scholar search URL"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_yc(url)

Withdrawn in 0.5.3 pending review of source terms. Returns an error; kept so existing clients get a clear answer.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "Previously a ycombinator.com/companies URL"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_repos(query)

Search GitHub for repositories matching a keyword. Returns top results by stars.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search query e.g. 'mcp server typescript'"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢package_trends(packages)

npm and PyPI package metadata — version history, release cadence, last updated.

입력 스키마

{
  "type": "object",
  "properties": {
    "packages": {
      "type": "string",
      "description": "Package name(s) e.g. 'langchain' or 'npm:zod,pypi:fastapi'"
    }
  },
  "required": [
    "packages"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_reddit(url)

Extract recent posts from a subreddit (e.g. 'r/MachineLearning') or a Reddit search/listing URL. Returns title, subreddit, author, score, comment count, and post date per result.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Subreddit name e.g. 'r/MachineLearning' or search URL"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_producthunt(url)

Extract recent Product Hunt launches by keyword/topic search or a PH URL. Returns name, tagline, votes, comment count, topics, and launch date per result.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Search query or PH topic URL"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_finance(url)

No-key stock quote data via Stooq. Accepts comma-separated ticker symbols and returns quote/OHLC/volume observations with timestamps.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Ticker symbol(s) e.g. 'AAPL' or 'MSFT,GOOG'"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_jobs(query, max_length)

Search for real-time job listings with freshness badges on every result. Sources: Remotive + HN Who is Hiring.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Job search query e.g. 'typescript remote'"
    },
    "max_length": {
      "type": "number",
      "default": 6000
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_landscape(topic)

Composite tool. Queries GitHub + HN + npm simultaneously. Returns a unified landscape report with each source's own freshness.

입력 스키마

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Project idea or keyword e.g. 'mcp server'"
    }
  },
  "required": [
    "topic"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_arxiv(url)

Search arXiv for research papers via the official API. Pass a topic or full arXiv API URL. Returns titles, authors, dates, abstracts.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Search query e.g. 'temporal retrieval', or a full arXiv API URL"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_changelog(url)

Update history for any product. Accepts a GitHub repo URL or an npm package name. Returns version numbers, release dates, and entries.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "GitHub repo URL or npm package name e.g. 'react'"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_gdelt(url)

Global news intelligence from GDELT. Monitors news from every country in 100+ languages, updated every 15 minutes. Returns articles with source country, language, date.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Query: company name, topic, or keyword"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_gebiz(url)

Singapore Government procurement opportunities (GeBIZ via data.gov.sg). Search by keyword, agency name, or empty for all recent tenders.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Keyword, agency, or empty for latest tenders"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_govcontracts(url)

US federal contract awards from USASpending.gov. Search by company name (e.g. 'Palantir'), keyword, or NAICS code. Returns amounts, dates, agencies.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Company name, keyword, or NAICS code"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_sec_filings(url)

SEC 8-K filings via EDGAR full-text search. 8-K = legally mandated material event disclosures (CEO changes, M&A, breaches). Pass company name, ticker, or keyword.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Company name, ticker, or keyword"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_gov_landscape(query, github_url)

Composite government intelligence: federal contract awards (USASpending) + dev community awareness (HN) + GitHub repo activity + product release velocity (changelog). 4-source unified report.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Company name, keyword, or NAICS code"
    },
    "github_url": {
      "type": "string",
      "description": "Optional GitHub repo URL for the company"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_finance_landscape(tickers, company_name, github_query)

Composite financial intelligence: Stooq quote data + HN sentiment + Reddit discussion + GitHub ecosystem + product changelog. 5-source unified report.

입력 스키마

{
  "type": "object",
  "properties": {
    "tickers": {
      "type": "string",
      "description": "One or more ticker symbols e.g. 'PLTR' or 'PLTR,MSFT'"
    },
    "company_name": {
      "type": "string",
      "description": "Company name for HN/Reddit/GitHub searches"
    },
    "github_query": {
      "type": "string",
      "description": "GitHub search query or repo URL"
    }
  },
  "required": [
    "tickers"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_company_landscape(company, ticker, github_url)

Most complete single-call company intelligence: SEC 8-K filings + USASpending federal contracts + GDELT global news + product changelog + Stooq quote data. 5 unique sources.

입력 스키마

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company name e.g. 'Palantir', 'Anthropic'"
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker for finance data"
    },
    "github_url": {
      "type": "string",
      "description": "Optional GitHub repo or org URL for changelog accuracy"
    }
  },
  "required": [
    "company"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_idea_landscape(idea)

Idea validation composite: HN pain signals + YC funded competitors + GitHub crowding + jobs market signal + npm/PyPI ecosystem + Product Hunt launches. 6 sources.

입력 스키마

{
  "type": "object",
  "properties": {
    "idea": {
      "type": "string",
      "description": "Your idea, problem space, or keyword"
    }
  },
  "required": [
    "idea"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

권장 프롬프트

search_research
Search for information about [topic] using FreshContext
예상 도구: search_repos
find_specific
Find [specific item] using FreshContext
예상 도구: search_repos

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