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MCP & Tool Integration
MCP servers, tool-use layers, SDK adapters, and integrations that connect agents to external tools.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Connect agents to tools, MCP servers, SDKs, or external APIs.
- Review install manifests and permissions.
- Confirm client compatibility before local setup.
Recommended trials and bundles
This skill enables AI agents to autonomously discover, pay for, and manage Monad AI services on-chain using x402, with wallet and subscription support.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables AI agents to integrate AGIRAILS payments for escrow or instant transactions, ensuring trust, gasless USDC settlements, and on-chain
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage trusted AI agents by verifying identities, guarding prompts, redacting PII, and handling escrow payments securely.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps Agora developers generate production-ready code, troubleshoot, and implement cloud recording, media push/pull, and AI agents across web and
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Official Node.js SDK and agora CLI for Agoragentic Triptych OS (Agent OS), Router / Marketplace, receipts, and USDC/x402 settlement.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Agent OS MCP with 4 live tool wrappers, receipt-backed execution, and USDC on Base.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps build resumable multi-agent workflows with durable execution and automatic stream recovery across client reconnections.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design and orchestrate autonomous AI agents with robust memory, planning, tool use, and multi-agent coordination for reliable outcomes.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Automate AI workflows combining multiple models and services via bash scripting and the inference.sh CLI. \n \n Supports five core patterns: batch processing…
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design and execute automated AI workflows by chaining models and services for content generation, data processing, and monitoring.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill creates AI avatar and talking head videos using inference.sh CLI with multiple models for lipsync and virtual presenters.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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4993 matching candidates for MCP & Tool Integration. 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.