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Data & Integrations
Agents and tools for data pipelines, APIs, databases, spreadsheets, webhooks, ETL, and analytics.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Connect APIs, databases, spreadsheets, or ETL pipelines.
- Validate schema and data quality.
- Keep source links and transform assumptions explicit.
Recommended trials and bundles
Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit…
- Fit
- 74 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. 211+ expert roles, zero-code YAML, 9 LLM providers (6 free). 一句话调度多个AI专家自动协作,几分钟交付完整方案。
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps AI agents manage email inboxes, send and receive messages, and automate workflows using the AgentMail API.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
- Fit
- 69 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Jack into any OpenAPI spec and rip a full-featured CLI with AI-agentic workflow automation
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
OSSA - Open Standard for Software Agents. Infrastructure bridge between agent protocols (MCP, A2A) and deployment platforms. Define once in YAML, export to 9+ platforms (Docker, Kubernetes, LangChain, CrewAI, Claude Skills, etc.).
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables secure agent-to-agent messaging with handshake, session tokens, and REST/WebSocket workflows using the a2achat.top API to exchange messages
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables autonomous agent payments and settlements using MCP and PayRam, allowing permissionless, micropayment-based API usage between agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables programmatic email for AI agents using the AgentMail API, allowing inbox creation, sending, receiving, webhooks, and domain management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage payments by configuring cards and wallets and guiding approval before paying for services.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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123 matching candidates for Data & Integrations. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.