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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
MCP & Tool Integration
MCP servers, tool-use layers, SDK adapters, and integrations that connect agents to external tools.
4993total
4993filtered
306page
417pages
Category fit
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
playbooks / skill
langchain4j-tool-function-calling-patterns skill by giuseppe-trisciuoglio/developer-kit
This skill enables building agentic applications by defining tools and function calls with LangChain4j, enabling real-time API access and external integrations.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
langchain4j-vector-stores-configuration
LangChain4J vector store configuration for RAG applications with multiple database backends. \n \n Supports PostgreSQL/pgvector, Pinecone, MongoDB Atlas, Mil…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langchain4j-vector-stores-configuration skill by giuseppe-trisciuoglio/developer-kit
This skill helps configure LangChain4J vector stores for RAG applications, enabling efficient embedding storage, retrieval, and production-ready performance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
LangGraph Execution Control
INVOKE THIS SKILL for LangGraph workflows, parallel execution, interrupts, or streaming. Covers Send API for fan-out, interrupt() for human-in-the-loop,…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
LangGraph Persistence & Memory
langgraph-persistence-&-memory — an installable skill for AI agents, published by langchain-ai/langchain-skills.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langgraph skill by bobmatnyc/claude-mpm-skills
This skill enables building complex multi-agent workflows with state persistence, human-in-the-loop, and time-travel debugging using LangGraph.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langgraph skill by xfstudio/skills
This skill helps you design production-grade AI agents with LangGraph, enabling graph-based state management, persistence, and reactive tool integration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langgraph-agents-skill skill by scientiacapital/skills
This skill helps you design production-grade multi-agent systems with LangGraph, enabling cost-optimized orchestration, state coordination, and scalable agent
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
langgraph-docs
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langgraph-docs skill by illuminated2020/deepagents-autoglm
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langgraph-patterns skill by frankxai/claude-skills-library
This skill enables building production-grade LangGraph agent workflows with fine-grained control, streaming, checkpointing, and human-in-the-loop orchestration
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
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.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
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.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.