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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 helps you automate Unreal Engine development workflows by generating C++ classes, Blueprints, and level edits via MCP editor integration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill audits and updates the supported LLM model list in assets.py to align with litellm's registry, ensuring accuracy and zero duplicates.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill updates provider model IDs by adding new IDs or removing obsolete ones across the AI SDK, ensuring consistent provider support.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides migrating from AWS SDK v1 to v2 in Java projects, enabling faster adoption and modern features.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides upgrading Stripe API versions and SDKs, helping you implement safe, compliant changes with minimal disruption.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill tracks PAI upgrade opportunities across Anthropic ecosystem and YouTube, helping you stay ahead with prioritized insights.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through Expo SDK upgrades and dependency fixes, including diagnostics, prebuild considerations, and breaking changes.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides upgrading React Native apps with upgrade helper, dependency checks, Expo steps, and verification to reduce pitfalls.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
When using an embedding model in the index, text is embedded automatically:
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you set up Upstash Vector DB for semantic search, namespaces, and MixBread embeddings, accelerating vector-based apps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
upstash/workflow-typescript-sdk-skill — an installable skill for AI agents, published by upstash/workflow-js.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates and validates URDF and SDF robot models, computes inertial properties, and configures joints, sensors, and macros for modular design.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
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.