Connect Langchain to live Jira Service Management data, securely.
CData Connect AI lets you plug any business application into any AI tool — like Jira Service Management into Langchain — for live, trusted answers and actions with zero data copies.
Give Jira Service Management rich semantic context and real-time data from Langchain so it can answer precisely and take safe, effective actions across your business.
Jira Service Management:
Atlassian Jira Service Management is a powerful ticketing system designed to streamline customer support processes. It allows teams to easily track, prioritize, and resolve customer requests, all within a user-friendly interface. With customizable workflows, automation features, and robust reporting capabilities, Jira Service Management helps teams deliver exceptional customer service efficiently.
Langchain:
LangChain is an agent framework for building LLM-powered applications, combining LCEL (Runnable chains), LangGraph (stateful agent orchestration), and LangSmith (observability and tracing). With Connect AI, you can give LangChain agents live, governed business data from across your enterprise systems—without staging data or writing custom tool wrappers.
Popular Langchain & Jira Service Management integration use cases
- Autonomous LangChain agents — Build agents that plan and execute multi-step tasks grounded in real-time Jira Service Management data.
- LangGraph workflows with governed data — Orchestrate multi-tool workflows where each node queries Jira Service Management under strict RBAC and masking policies.
- Retrieval-augmented LCEL chains — Power retrieval steps with live Jira Service Management context for accurate summaries, answers, and decisions.
- Auditable tool usage — Expose only approved read/write operations on Jira Service Management to LangChain tools, with full logging and observability via LangSmith.
Learn more about CData Connect AI
Jira Service Management to Langchain Features
Real-time data accessed in-place
Access data where it lives right now. Ensure data is always live, always retains its metadata and semantics, and always protected by source system permissions.
Semantic intelligence & preserved context
Expose your data's metadata, relationships, and context so AI has real understanding of your business without recreating it on top of a warehouse.
One connection to both explore and take action
Point-and-click connection setup that works for both queries and actions so you can set up integrations in minutes.
Enterprise security and governance
Pass through and edit role-based access control (RBAC) inherited from the source to users in AI and AI agents.
How It Works: Model Context Protocol (MCP)
Connect AI is first managed Model Context Protocol (MCP) platform for AI integration. Model Context Protocol (MCP) is an open standard for connecting AI assistants, agents, and automations to external tools and data.
With Connect AI's managed MCP platform, you can present your enterprise systems as standardized MCP tools and resources and call them directly from AI.
Instead of building and maintaining dozens of one-off MCP Servers, your AI simply calls one universal MCP URL from Connect AI, and gets governed access to live data from across your enterprise stack.
Getting Started is Easy:
- Configure data sources (Salesforce, NetSuite, Workday, SQL, Jira, etc.) in Connect AI.
- Create a 'Remote MCP' URL.
- Connect Langchain to your business data.
Get Started for FREE
Access live Jira Service Management data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live Jira Service Management data with any AI tool that supports MCP. Select your preferred tool below to learn more.
