“CSV” 共 8 个结果
io.smithery.axel-belfort.csv-to-json
面向 AI 智能体的 CSV 解析 API。将 CSV 数据转为 JSON 数组，自动识别分隔符（逗号、分号、制表符、竖线），支持表头行、类型推断与整洁的结构化输出。工具：data_parse_csv_to_json。适用于数据导入、ETL 流水线、电子表格处理，或把表格数据转为可供 API 消费的形式。返回：{data[], headers[], rowCount, delimiter}。无需 API 密钥——在 Base L2 上以 x402 微支付 $0.001/次。
io.smithery.aparajithn.agent-utils
Streamline technical workflows with a comprehensive suite of data transformation and validation utilities. Convert between diverse formats like JSON, CSV, and Markdown while managing encodings and identifiers efficiently. Enhance productivity by performing complex text analysis, regex testing, and timestamp conversions instantly.
io.smithery.net-service.xpoz
面向 AI 智能体的社交媒体情报：用自然语言搜索并分析 Twitter/X、Instagram、Reddit 和 TikTok。已索引数十亿条帖子，含历史数据。不需要社交媒体 API key，也不用安装，只要加上端点 URL。 非常适合品牌监控、竞品分析、网红调研、市场研究与 OSINT。 ## 你能做什么 **Twitter/X：** - 获取用户资料、粉丝与关注列表 - 按关键词并用布尔运算符搜索推文 - 分析互动（评论、引用、转发） - 导出完整数据集为 CSV **Instagram：** - 查询用户资料与统计 - 按描述中的关键词搜索帖子 - 获取评论与帖子互动 **Reddit：** - 在所有 subreddit 中按关键词搜索帖子与评论 - 拉取完整讨论串及其评论树 - 查找并探索 subreddit **TikTok：** - 按关键词和话题标签搜索帖子 - 查询用户及其作品 - 获取评论与互动数据 ## 为什么选 Xpoz？
io.smithery.darek.claribi
clariBI 暴露了一个 Model Context Protocol 服务器，让外部 LLM 客户端（Claude Desktop、Cursor、ChatGPT 自定义 GPTs、通用支持 MCP 的智能体）可以创建账号、上传 CSV/Excel/JSON/PDF 文件（内联或按 URL 提供，服务端有 SSRF 防护），并通过 OAuth 交接连接 Google Ads / Analytics 4 / Search Console / Sheets / Drive / BigQuery / Meta Ads / Jira / Confluence，对已连接数据源做自然语言分析并生成报表。19 个工具、3 个资源、2 个提示。支持 OAuth 2.1（动态客户端注册 + PKCE），并可回退到 API key。传输方式为 Streamable HTTP 与 SSE。提供 Python 与 TypeScript SDK，由实时工具目录通过代码生成产出。
io.smithery.XJTLUmedia.x23
AI Answer Copier is a Model Context Protocol (MCP) server that solves the "Final Mile" friction in educational content creation. It enables AI models to move beyond just writing questions to actually generating the files required for teaching and assessment. By functioning as a native MCP server, this tool allows Claude or any MCP-enabled IDE to directly pipe its output into specialized educational formats. No more manually fixing bullet points in Word or wrestling with CSV headers for your LMS. Key Capabilities:Zero-Friction Pipeline: Your AI can now "see" your local export tools. Ask it to: "Generate 10 biology questions and send them directly to my Quizizz CSV." Multi-Format Exporting: Seamlessly convert AI responses into upload-ready files for Kahoot, Quizizz, Canvas (JSON), Moodle (XML), and professionally formatted PDFs. Intelligent Smart-Parse: Automatically identifies question stems, multiple-choice distractors, and correct answer keys from raw AI text. First-Class Math & Code: Native support for
io.smithery.aparajithn.agent-utils-mcp-new
Simplify common data manipulation tasks like encoding, hashing, and formatting across various formats. Convert between CSV, JSON, Markdown, and HTML seamlessly to streamline data workflows. Extract insights from text and configurations through robust parsing, regex testing, and statistical analysis.
io.smithery.icosaedro.toolsnap-mcp
Connect directly: https://mcp.toolsnap.app/mcp (Streamable HTTP, free tools need no account). The run.tools URL on this page stopped working when Smithery's proxy shut down on 2026-10-31. Deterministic, context-efficient microtools for AI agents. 47 tools total, 36 free. tools/list shows a curated core of 17; the rest is one free tool_catalog call away and runs via use_tool. Free flagships: fetch_extract (median 98.1% token reduction vs raw HTML, 53,820 → 2,001 tokens on 11 real pages) and fetch_html, plus html_to_markdown, fetch_metadata, PDF text, CSV/JSON queries, sitemaps, RSS/Atom feeds, link checking and utilities (UUID, hash, Base64, regex, diff, token count...). Extraction is pure parsing: no LLM in the loop, stable output. 11 paid tools with real per-call cost (no first-call-free): screenshot_url, fetch_rendered (JS pages) and keyword_research ($0.04), remove_background ($0.03), fal.ai media tools image_generate, image_upscale, audio_transcribe, text_to_speech (from $0.02) and video_generate (from
io.smithery.data-transform-agent.data-transform
Convert data between over 40 formats including JSON, CSV, Excel, and PDF. Restructure complex schemas into custom layouts to ensure seamless data integration. Simplify information processing by automating transformations between structured and unstructured file types.
