Markdown Pipeline
v0.1.15
io.github.markdown-pipeline/mdpipeline
Your team's Jira as clean Markdown files, kept current for your AI agent. Local and read-only.
“Pipeline” 共 131 个结果
v0.1.15
io.github.markdown-pipeline/mdpipeline
Your team's Jira as clean Markdown files, kept current for your AI agent. Local and read-only.
v1.20.0
io.usefulapi/pipeline-crm
Manage Pipeline CRM deals, people, companies, notes and calendar entries.
v0.2.0
io.github.skypantherr/arabic-pipeline
Pay-per-call Arabic text, audio and document utilities over x402. USDC on Base, no API key.
v7.0.17
dev.agentdiet/workflows
Execute multi-step A2A & MCP agent workflows with atomic x402/MPP settlement.
v2.7.1
works.plugins/pipeline-pal
A CRM you talk to: leads, deals and a pipeline board inside ChatGPT, Grok and other MCP clients.
v1.3.0
io.github.parkyucheol-del/alphapipeline
Pay-per-call x402 API for AI trading agents: pre-trade security checks, Polymarket & HIP-4 odds.
v0.10.0
dev.agenticpipeline/agentic-pipeline
Agent-native CI/CD: follow a push to live deploy, diagnose failing stages, prove fixes, rerun.
v0.1.0
io.github.Nero-Engine/actor-pipeline-runner
Run up to 25 Apify Actors in order in one call, passing each step's dataset to the next.
v0.8.4
io.github.cdeust/automatised-pipeline
Codebase intelligence MCP server — index any repo into a property graph; 26 tools for agents.
v0.1.0
io.github.adelaidasofia/investor-relations-mcp
种子轮融资管道跟踪的 FastMCP 服务器——从 Obsidian CRM 同步。
v1.0.0
io.github.dbsectrainer/mcp-data-pipeline-connector
基于 DuckDB 的通用数据连接器,支持 CSV、Postgres 与 REST API。
v0.1.1
io.github.saajunaid/junai-mcp
面向 AI 驱动开发工作流的智能体流水线编排 MCP 服务器。
v1.0.2
io.github.IamNishant51/atlas-pipeline
7 阶段 AI 流水线 MCP 服务器:意图→上下文→Git→任务分解→变体生成→评审→优化。
v1.0.0
com.aiwebsitepipeline/indexnow-toolkit
构建并校验 IndexNow 提交内容、检查密钥文件,并比对 sitemap 生成提交清单。
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
v2.1.0
io.github.keshrath/agent-tasks
AI 智能体的流水线任务管理——阶段、依赖、产物与任务认领。
v0.1.0
co.raisekit/raisekit
VC 融资 CRM。Pipeline、Gmail 草稿、BP 信号、VC 情报 —— 来自你的 AI。
io.smithery.framesail.framesail
从任意 MCP 客户端端到端制作长视频(不露脸的 YouTube 频道):脚本、锁定的角色设定、分镜、配音和最终剪辑——所有镜头保持角色与风格一致。 如今做 AI 长视频要手动拼 8 个以上的标签页——脚本用某个 LLM、配音用一个语音模型、画面用图像模型、动态用视频模型——角色在各工具之间走形,每次导出风格都要重来。Framesail 取代这套拼凑:整条流程在一处运行,端到端管理你视频项目的上下文。 六个阶段:风格(贴入图片、视频或 YouTube 链接,Framesail 逆向还原观感、声音与导演风格)、脚本(自己写或按你的叙事风格生成)、参考图(为每个角色、场景和道具自动生成)、配音(单一旁白或多角色,带词级时间轴)、分镜(逐场景规划)和编辑器(字幕、音乐、音效后导出)。
io.smithery.amalgix.document-intelligence
Cross-model evidence pipeline for financial filing and contract intelligence. Two core paid workflows — analyze_public_filing (SEC 10-K/10-Q/20-F, ticker/CIK lookup, metrics, risk changes, contradictions) and review_contract_risks (MSA/NDA/SaaS/procurement, obligations, deadlines, liability, unusual clauses). Plus MCP compatibility utilities: document analysis, web extraction, summarization, and bulk translation. Specialized model routing delivers source-grounded evidence up to 3.8× cheaper than frontier models. Pay per call via x402 USDC on Base or Solana. Document content is not persisted after processing; request metadata and payment events are retained for attribution.
io.smithery.beforeyouship.cost-model
**在动手开发之前**就为 LLM 应用建模真实的月度成本。不是简单的 token 计算器:它把重试、提示缓存、批处理折扣、基础设施开销以及 3×/10× 增长都纳入模型,覆盖 GPT-5.x、Claude、Gemini、DeepSeek 等。 **无需 key 也能用。**连接后即可提问——演示模式覆盖六个免费档模型。Pro API key([beforeyouship.dev](https://beforeyouship.dev))解锁全部 18 个模型目录。 ## 工具 | 工具 | 作用 | |---|---| - **`estimate_cost`** 针对给定用量下的架构做完整成本建模。返回各模型的 Naive / Realistic / Worst Case 月度美元成本、增长情景和带倾向性的建议。 | - **`get_model_prices`** 当前每 100 万 token 定价(输入、输出、缓存、批处理),含上下文窗口与数据时效元信息。 | - **`list_archetypes`** 七种预设架构模式(聊天机器人、RAG 流程、多步智能体等),可作为估算起点。
io.smithery.axel-belfort.person-enrichment
面向 AI 智能体的人物信息增强 API。把任意邮箱地址扩展为完整职业档案:姓名、职位、公司、LinkedIn 链接、GitHub 主页、Twitter 账号、头像 URL、所在地与简介。工具:person_enrich_from_email。适用于线索调研、个性化触达、联系人数据库建设或 CRM 记录补全,是销售与招聘流程的关键能力。注意:增强前先用 email_verify_address 校验邮箱。返回包含姓名、职位、公司、社交链接与头像的结构化 JSON。无需 API 密钥——在 Base L2 上以 x402 微支付 $0.01/次。可作为 Apollo.io 人物查询的替代方案。
v1.0.0
com.clientposture/mcp
Client Posture scans, findings, prospect deal stages, pipeline summary, and quote drafts for MSPs.
v1.14.0
io.usefulapi/nocrm-io
Read noCRM.io leads, pipeline steps, comments and client folders; create, update and assign leads.
v1.0.0
com.virtualcloser/virtual-closer
See who replied and where your pipeline is stuck, from your own AI. Insurance agents. $55/30 days.