Find, trial, compare, and govern AI agents before hiring
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 automates creating pull requests for prowler following the project template and conventions to streamline collaboration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you extend Prowler by adding new providers or services, following the provider architecture pattern and templates.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill creates Prowler security checks for SDK providers, generating implementation and metadata to ensure consistent security checks across services.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you apply prowler ui conventions using shadcn/ui and Tailwind to organize components, hooks, and styles for consistent UI.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables you to browse Pulse marketplace, create escrow-backed jobs, and manage AI service transactions on MegaETH securely.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you launch and verify new Solana tokens on pump.fun by handling wallet setup, metadata upload, and on-chain creation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Build production AI agents with Pydantic AI: type-safe tools, structured output, embeddings, MCP, 30+ model providers, evals, graphs, and observability.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides Grafana Pyroscope profiling across languages and deployments, enabling continuous performance insights, tracing, and scalable Kubernetes
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you write and refactor pytest tests effectively by guiding fixtures, mocking, parametrization, and markers for reliable Python testing.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you integrate and utilize Pyth Network price feeds in Solana apps, covering on-chain data, EMA prices, and real-time updates.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement Python observability patterns for structured logging, metrics, and tracing to improve monitoring and diagnostics.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build AI apps and agents with the inferencesh Python SDK, enabling async or sync runs, streaming, file uploads, and tool integration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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Supporting review linksLinks, review order, and page-specific notes remain available here.
4993 matching candidates for MCP & Tool Integration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 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.