Jira Software Cloud MCP Server for LlamaIndexGive LlamaIndex instant access to 31 tools to Create Board, Create Sprint, Get Agile Issue, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Jira Software Cloud as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Jira Software Cloud MCP Server for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 31 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Jira Software Cloud. "
"You have 31 tools available."
),
)
response = await agent.run(
"What tools are available in Jira Software Cloud?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Jira Software Cloud MCP Server
Connect your Jira Software Cloud instance to any AI agent to streamline your Agile project management. This server provides deep integration with Jira's Software-specific features like Boards, Sprints, and Epics.
LlamaIndex agents combine Jira Software Cloud tool responses with indexed documents for comprehensive, grounded answers. Connect 31 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Board Management — List all Scrum and Kanban boards, fetch their configurations, and view associated Sprints or Epics.
- Sprint Control — Create new sprints, retrieve sprint details, and update sprint states (start or complete) to keep your team moving.
- Backlog & Issues — Query board backlogs, fetch issues within specific sprints or epics, and manage issue rankings.
- Estimation Tracking — Retrieve and set story point estimations for agile issues to maintain velocity visibility.
- DevOps Integration — Submit and query development information including builds, deployments, and feature flags.
The Jira Software Cloud MCP Server exposes 31 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 31 Jira Software Cloud tools available for LlamaIndex
When LlamaIndex connects to Jira Software Cloud through Vinkius, your AI agent gets direct access to every tool listed below — spanning agile, scrum, kanban, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create board on Jira Software Cloud
Requires name, type (scrum or kanban), and filterId. Create a new board
Create sprint on Jira Software Cloud
Create a new sprint
Get agile issue on Jira Software Cloud
Get issue with Agile fields
Get board backlog on Jira Software Cloud
Get issues for backlog
Get board configuration on Jira Software Cloud
Get board configuration
Get board epics on Jira Software Cloud
Get all epics for board
Get board sprints on Jira Software Cloud
Get all sprints for board
Get build on Jira Software Cloud
Get build data
Get deployment gating status on Jira Software Cloud
Get deployment gating status
Get epic on Jira Software Cloud
Get epic details
Get epic issues on Jira Software Cloud
Get issues for epic
Get issue estimation on Jira Software Cloud
Get issue estimation
Get repository dev info on Jira Software Cloud
Get repository development information
Get sprint on Jira Software Cloud
Get sprint details
Get sprint issues on Jira Software Cloud
Get issues for sprint
Link security workspaces on Jira Software Cloud
Link security workspaces
List boards on Jira Software Cloud
Get all boards in Jira Software
Move issues to backlog on Jira Software Cloud
Move issues to backlog
Move issues to epic on Jira Software Cloud
Move issues to epic
Move issues to sprint on Jira Software Cloud
Move issues to sprint
Rank epics on Jira Software Cloud
Rank epics
Rank issues on Jira Software Cloud
Rank issues
Set issue estimation on Jira Software Cloud
Set issue estimation
Store dev info on Jira Software Cloud
Store development information
Submit builds on Jira Software Cloud
Submit build data
Submit deployments on Jira Software Cloud
Submit deployment data
Submit feature flags on Jira Software Cloud
Submit feature flag data
Submit incidents on Jira Software Cloud
Submit incidents or reviews
Submit remote links on Jira Software Cloud
Submit remote link data
Submit vulnerabilities on Jira Software Cloud
Submit vulnerabilities
Update sprint on Jira Software Cloud
Can be used to start or complete a sprint by changing state to active or closed. Update a sprint
Connect Jira Software Cloud to LlamaIndex via MCP
Follow these steps to wire Jira Software Cloud into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Jira Software Cloud MCP Server
LlamaIndex provides unique advantages when paired with Jira Software Cloud through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Jira Software Cloud tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Jira Software Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Jira Software Cloud, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Jira Software Cloud tools were called, what data was returned, and how it influenced the final answer
Jira Software Cloud + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Jira Software Cloud MCP Server delivers measurable value.
Hybrid search: combine Jira Software Cloud real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Jira Software Cloud to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Jira Software Cloud for fresh data
Analytical workflows: chain Jira Software Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Jira Software Cloud in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Jira Software Cloud immediately.
"List all available Jira boards."
"Show me the issues in the backlog for board 1."
"What is the estimation for issue 10123?"
Troubleshooting Jira Software Cloud MCP Server with LlamaIndex
Common issues when connecting Jira Software Cloud to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpJira Software Cloud + LlamaIndex FAQ
Common questions about integrating Jira Software Cloud MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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