fieldcure-mcp-essentials

fieldcure-mcp-essentials

Provides 20 essential tools including HTTP requests, web search, file I/O, shell commands, and persistent memory for any MCP client, with zero configuration required.

Category
访问服务器

README

FieldCure MCP Essentials

NuGet License: MIT

Install once, get the basics. A Model Context Protocol (MCP) server that provides 20 essential tools — HTTP requests, web search & fetch, URL file downloads, Wolfram|Alpha computational knowledge, shell commands, JavaScript execution, file I/O, environment info, and persistent memory — for any MCP client. Category search (news, images, scholar, patents) and runtime engine switching (get/set) are always available; capabilities are guarded at invocation time against the active engine. Built with C# and the official MCP C# SDK.

Features

  • 20 essential tools — HTTP, web search & fetch, URL file downloads, runtime search-engine switching (get/set), Wolfram|Alpha, shell, JavaScript sandbox, environment info, file read/write/search, persistent memory + category search (news, images, scholar, patents)
  • Zero configuration — no API keys needed for default Bing search; optional API keys unlock Serper, Tavily, SerpApi (+ category search tools), and Wolfram|Alpha
  • Document parsingweb_fetch and read_file extract text from PDF, DOCX, HWPX, PPTX, XLSX into Markdown. PDF text extraction is text-layer only; scanned PDFs without a text layer yield empty text. For OCR-backed indexing use fieldcure-mcp-rag.
  • Sandboxed JavaScript — Jint engine with strict limits (timeout, statement count, recursion depth)
  • SSRF protection — HTTP requests, web fetch, and file downloads block private IP ranges and loopback addresses
  • Cross-client — works with Claude Desktop, VS Code, AssistStudio, and any MCP-compatible client
  • Stdio transport — standard MCP subprocess model via JSON-RPC over stdin/stdout

Installation

dotnet tool install -g FieldCure.Mcp.Essentials

After installation, the fieldcure-mcp-essentials command is available globally.

From source

git clone https://github.com/fieldcure/fieldcure-mcp-essentials.git
cd fieldcure-mcp-essentials
dotnet build

Requirements

Tools

Tool Description Destructive
http_request Full HTTP client (GET/POST/PUT/DELETE/PATCH/HEAD) with custom headers and body
web_search Search the web and return snippets (title, URL, description)
web_fetch Fetch a URL and extract content as Markdown — HTML pages and documents (PDF, DOCX, HWPX, PPTX, XLSX)
download_file Download URL content to disk with a configurable download directory, 100 MB limit, and atomic save Yes
run_command Execute shell commands with working directory, environment variables, shell selection, and output truncation flags Yes
run_javascript Sandboxed JavaScript execution (Jint) for math, data processing, JSON, regex
wolfram_alpha Wolfram|Alpha Full Results API — symbolic math, plots, unit conversions, constants; MathML passes through for native rendering
get_environment System info — local time, timezone, OS, hostname, username, .NET version
read_file Read files — text with offset/limit, documents (PDF, DOCX, HWPX, PPTX, XLSX) parsed to Markdown
write_file Write or append text to files with auto directory creation Yes
search_files Search files by glob pattern and content (grep-like)
remember Store a key-value memory (persisted in SQLite)
forget Delete memories by key or keyword search Yes
list_memories Search and list stored memories with FTS5 and pagination

Category Search (SerpApi / Serper / Tavily)

Always registered. Each tool runtime-guards on the active engine's capabilities and returns a descriptive error pointing at set_search_engine when the current engine does not support the category.

Tool Description SerpApi Serper Tavily
search_news Search recent news articles via Google News Yes Yes Yes
search_images Search images with size/type filtering Yes Yes
search_scholar Search academic papers with citation counts Yes Yes
search_patents Search patent documents with inventor/assignee filtering Yes Yes

Runtime engine switching

Tool Description
set_search_engine Switch the active engine (bing, duckduckgo, serper, tavily, serpapi) at runtime. Paid-engine API keys resolve lazily via env var or MCP Elicitation on the next search; the switch itself takes only the engine name. Emits notifications/tools/list_changed on success.
get_search_engine Return the currently active engine and its category capabilities. Read-only; use this to reflect live engine state in host UIs or to check category support before calling a category search tool.

web_search vs web_fetch vs download_file vs http_request

http_request web_search web_fetch download_file
Purpose API calls, raw HTTP Web search Read web pages Save original files
Response Raw (JSON, HTML, etc.) {title, url, snippet}[] Markdown (body only) JSON metadata with saved path
Conversion None None SmartReader HTML → Markdown None
Length limit max_response_chars (default: unlimited, up to 1MB) max_results (max 10) max_length (max 20000) 100 MB

Document Parsing

web_fetch and read_file can parse binary documents into Markdown:

Format Extension Detection
PDF .pdf Content-Type / URL extension (text layer only; no OCR)
Word .docx Content-Type / URL extension
Hangul (HWPX) .hwpx URL extension (no standard Content-Type)
PowerPoint .pptx Content-Type / URL extension
Excel .xlsx Content-Type / URL extension

Output includes headings, tables, math expressions ([math: LaTeX]), and slide/page separators.

File Downloads

download_file saves the original bytes from an HTTP(S) URL. If save_path is omitted, the tool infers a filename from Content-Disposition, the URL path, or a generated fallback name. Relative save_path values resolve under the configured download_directory; absolute paths are used as-is except for protected system directories.

The default download directory is ~/Downloads/mcp and is created automatically on first use. Downloads are written to a temporary file in the destination directory and then committed with an atomic move/replace, so failed or cancelled downloads do not leave a partial final file.

{
  "url": "https://example.com/report.pdf"
}
{
  "url": "https://example.com/report.pdf",
  "save_path": "reports/report.pdf",
  "overwrite": false
}

Web Search

Default engine is Bing (free, no API key needed). For more reliable results, use an API-based engine:

Engine Free Tier Category Search API Key
Bing (default) Unlimited (scraping) Not needed
Serper 2,500 one-time news, images, scholar, patents serper.dev
SerpApi 100/month news, images, scholar, patents serpapi.com
Tavily 1,000/month news tavily.com
# Use Serper
fieldcure-mcp-essentials --search-engine serper --search-api-key YOUR_KEY

# Use Tavily
fieldcure-mcp-essentials --search-engine tavily --search-api-key YOUR_KEY

# Or via environment variables
ESSENTIALS_SEARCH_ENGINE=serper ESSENTIALS_SEARCH_API_KEY=xxx fieldcure-mcp-essentials

Environment Variable Auto-Detection

When --search-engine is omitted, the server scans environment variables and automatically selects the best available engine:

Engine Environment Variable
Serper SERPER_API_KEY
SerpApi SERPAPI_API_KEY
Tavily TAVILY_API_KEY

Detection priority: Serper → SerpApi → Tavily → Bing/DuckDuckGo fallback.

API Key Security

Engine Auth Method Key Exposure
Serper HTTP header (X-API-KEY) Not in URL
Tavily Authorization header (Bearer token) Not in URL
SerpApi URL query parameter (api_key=xxx) Visible in server logs

Region

Use the region parameter for localized results:

// Korean results
{ "query": "서울 맛집", "region": "ko-kr" }

// US English results
{ "query": "best restaurants NYC", "region": "en-us" }

// Global (default)
{ "query": "Python tutorial" }

Without --search-engine, a fallback engine (Bing → DuckDuckGo) auto-switches on CAPTCHA. Free engines rely on scraping and may be intermittent — an API-based engine is strongly recommended for any non-trivial use.

Explicit paid engine without a key — MCP Elicitation

When --search-engine serper|tavily|serpapi is selected explicitly but no API key is configured (CLI arg, ESSENTIALS_SEARCH_API_KEY, or engine-specific env var), the server waits until the first web_search call and then asks the MCP client for the key via MCP Elicitation. If the user declines, a follow-up prompt asks whether to run the search with free Bing/DuckDuckGo instead. Declining both lets the tool soft-fail with a clear message so the LLM can recover.

Clients without Elicitation support (including older CLI hosts) fall back to the free engine immediately, matching the pre-2.1 behaviour. Cached keys live for the process lifetime; the host can re-elicit after an upstream 401/403 if the tool invalidates the cache.

Wolfram|Alpha

wolfram_alpha calls the Full Results API v2 and returns mixed content — plaintext, MathML (passed through verbatim for clients that render MathML natively, e.g. ChatPanel/WebView2), and plot images embedded as ImageContent. The API's reinterpret=true flag is always on so most typo-level failures auto-correct server-side; only real parse failures surface isError: true with assumptions > tips > didyoumeans guidance.

AppID

Set WOLFRAM_APPID to the AppID obtained at developer.wolframalpha.com (select "Full Results API"; free tier: 2,000 calls/month, non-commercial). On MCP clients that support Elicitation the key can also be supplied interactively on first use. A rejected AppID (401/403) triggers a single invalidate-and-retry so a mistyped key can be re-elicited; the existing ApiKeyResolverRegistry re-elicit cap (2 per env-var slot) prevents loops.

⚠️ Use developer.wolframalpha.com, not developer.wolfram.com — the latter is a separate paid portal and will show "no permission to access any API keys" for free accounts.

The tool is always registered regardless of AppID status; without a key it returns a setup-guidance error so the model can inform the user instead of silently skipping.

Query tips (surfaced in the tool description)

  • English only, simplified keyword form ('France population', not 'how many people live in France')
  • Exponent notation 6*10^14, never 6e14
  • Single-letter variables (x, y, n)
  • Named physical constants ('speed of light', not 299792458)
  • For equations with units, solve without units first
  • RECOMMENDED / AVOID hints steer the model — simple arithmetic to run_javascript, general web queries to web_search, subjective/news questions away from Wolfram

JavaScript Sandbox

run_javascript uses the Jint engine with strict limits:

Constraint Value
Timeout 5s default, 30s max
Max statements 100,000
Recursion depth 64
Strict mode Enforced

Allowed: Math.*, JSON, Date, RegExp, console.log, string/array methods, parseInt, encodeURIComponent, atob/btoa

Blocked: setTimeout, setInterval, require, import, .NET interop, eval()

Variables can be injected into the script scope for data pipeline use:

1. http_request(url: "https://api.example.com/data") → {"items": [...]}
2. run_javascript(
     code: "data.items.filter(x => x.price > 100).map(x => x.name)",
     variables: {"data": {"items": [...]}}
   )

Run Command

run_command defaults to the backward-compatible shell for the host: cmd.exe on Windows and /bin/sh on Unix. Use shell when a command requires specific syntax:

Shell Notes
auto Default; cmd.exe on Windows, /bin/sh on Unix
pwsh PowerShell Core; recommended for PowerShell-native commands when installed
powershell Windows PowerShell fallback for Windows hosts without pwsh
cmd Explicit Windows cmd.exe
bash Explicit Bash when available
sh Explicit POSIX shell when available

Verbose output is capped per stream with max_output_chars (default 100,000). Responses include shell_used, stdout_truncated, and stderr_truncated; truncated streams include an inline marker with the omitted character count.

Memory

Memories are stored in SQLite (%LOCALAPPDATA%/FieldCure/Mcp.Essentials/memory.db) and shared across all MCP clients on the same machine.

# Custom memory path
fieldcure-mcp-essentials --memory-path /path/to/memory.db

# Or via environment variable
ESSENTIALS_MEMORY_PATH=/path/to/memory.db fieldcure-mcp-essentials

Configuration

Essentials settings

The default settings file is:

  • Windows: %LOCALAPPDATA%/FieldCure/Mcp.Essentials/settings.json
  • macOS/Linux: the platform local app-data folder plus FieldCure/Mcp.Essentials/settings.json
{
  "download_directory": "~/Downloads/mcp"
}

Download directory precedence is:

  1. CLI: --download-directory <path>
  2. Environment: ESSENTIALS_DOWNLOAD_DIRECTORY
  3. Settings file: download_directory
  4. Default: ~/Downloads/mcp

Use --settings-path <path> or ESSENTIALS_SETTINGS_PATH to point at a different settings file.

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "essentials": {
      "command": "fieldcure-mcp-essentials"
    }
  }
}

With a search engine:

{
  "mcpServers": {
    "essentials": {
      "command": "fieldcure-mcp-essentials",
      "args": ["--search-engine", "serper", "--search-api-key", "YOUR_KEY"]
    }
  }
}

VS Code (Copilot)

Add to .vscode/mcp.json:

{
  "servers": {
    "essentials": {
      "command": "fieldcure-mcp-essentials"
    }
  }
}

From source (without dotnet tool)

{
  "mcpServers": {
    "essentials": {
      "command": "dotnet",
      "args": [
        "run",
        "--project", "C:\\path\\to\\fieldcure-mcp-essentials\\src\\FieldCure.Mcp.Essentials"
      ]
    }
  }
}

Data Storage

Data Location
Memory database %LOCALAPPDATA%/FieldCure/Mcp.Essentials/memory.db
Settings file %LOCALAPPDATA%/FieldCure/Mcp.Essentials/settings.json
Default downloads ~/Downloads/mcp
Search API keys Environment variables (SERPER_API_KEY, TAVILY_API_KEY, SERPAPI_API_KEY)

Project Structure

src/FieldCure.Mcp.Essentials/
├── Program.cs                  # MCP server entry point (stdio)
├── Configuration/
│   └── EssentialsSettings.cs   # Server settings and download directory resolution
├── Http/
│   └── SsrfGuard.cs            # SSRF protection (shared by http_request & web_fetch)
├── Memory/
│   └── MemoryStore.cs          # SQLite + FTS5 memory storage
├── Search/
│   ├── ISearchEngine.cs        # Search engine interface
│   ├── ICategorySearchEngine.cs # Category search interface (news, images, scholar, patents)
│   ├── SearchResult.cs         # Search result record
│   ├── BingSearchEngine.cs     # Bing scraping (default)
│   ├── DuckDuckGoSearchEngine.cs  # DuckDuckGo lite scraping
│   ├── FallbackSearchEngine.cs # Auto-rotate on CAPTCHA
│   ├── SerperSearchEngine.cs   # Serper.dev API (+ category search)
│   ├── TavilySearchEngine.cs   # Tavily API (+ news)
│   └── SerpApiSearchEngine.cs  # SerpApi API (+ category search)
└── Tools/
    ├── HttpRequestTool.cs      # http_request
    ├── WebSearchTool.cs        # web_search
    ├── WebFetchTool.cs         # web_fetch (SmartReader)
    ├── DownloadFileTool.cs     # download_file
    ├── CategorySearchTools.cs  # search_news / search_images / search_scholar / search_patents
    ├── RunCommandTool.cs       # run_command
    ├── RunJavaScriptTool.cs    # run_javascript (Jint sandbox)
    ├── WolframAlphaTool.cs     # wolfram_alpha (Full Results API, MathML pass-through)
    ├── GetEnvironmentTool.cs   # get_environment
    ├── ReadFileTool.cs         # read_file
    ├── WriteFileTool.cs        # write_file
    ├── SearchFilesTool.cs      # search_files
    └── MemoryTools.cs          # remember / forget / list_memories

Development

# Build
dotnet build

# Test
dotnet test

# Pack as dotnet tool
dotnet pack src/FieldCure.Mcp.Essentials -c Release

See Also

Part of the AssistStudio ecosystem.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选