Jira Software Cloud MCP Server for CrewAIGive CrewAI instant access to 31 tools to Create Board, Create Sprint, Get Agile Issue, and more

Name: Jira Software Cloud
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Jira Software Cloud through Vinkius, pass the Edge URL in the `mcps` parameter and every Jira Software Cloud tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Jira Software Cloud MCP Server for CrewAI is a standout in the Industry Titans category — giving your AI agent 31 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Jira Software Cloud Specialist",
    goal="Help users interact with Jira Software Cloud effectively",
    backstory=(
        "You are an expert at leveraging Jira Software Cloud tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Jira Software Cloud "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 31 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, Jira Software Cloud becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Jira Software Cloud tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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

Create board on Jira Software Cloud

Requires name, type (scrum or kanban), and filterId. Create a new board

create

Create sprint on Jira Software Cloud

Create a new sprint

get

Get agile issue on Jira Software Cloud

Get issue with Agile fields

get

Get board backlog on Jira Software Cloud

Get issues for backlog

get

Get board configuration on Jira Software Cloud

Get board configuration

get

Get board epics on Jira Software Cloud

Get all epics for board

get

Get board sprints on Jira Software Cloud

Get all sprints for board

get

Get build on Jira Software Cloud

Get build data

get

Get deployment gating status on Jira Software Cloud

Get deployment gating status

get

Get epic on Jira Software Cloud

Get epic details

get

Get epic issues on Jira Software Cloud

Get issues for epic

get

Get issue estimation on Jira Software Cloud

Get issue estimation

get

Get repository dev info on Jira Software Cloud

Get repository development information

get

Get sprint on Jira Software Cloud

Get sprint details

get

Get sprint issues on Jira Software Cloud

Get issues for sprint

link

Link security workspaces on Jira Software Cloud

Link security workspaces

list

List boards on Jira Software Cloud

Get all boards in Jira Software

move

Move issues to backlog on Jira Software Cloud

Move issues to backlog

move

Move issues to epic on Jira Software Cloud

Move issues to epic

move

Move issues to sprint on Jira Software Cloud

Move issues to sprint

rank

Rank epics on Jira Software Cloud

Rank epics

rank

Rank issues on Jira Software Cloud

Rank issues

set

Set issue estimation on Jira Software Cloud

Set issue estimation

store

Store dev info on Jira Software Cloud

Store development information

submit

Submit builds on Jira Software Cloud

Submit build data

submit

Submit deployments on Jira Software Cloud

Submit deployment data

submit

Submit feature flags on Jira Software Cloud

Submit feature flag data

submit

Submit incidents on Jira Software Cloud

Submit incidents or reviews

submit

Submit remote links on Jira Software Cloud

Submit remote link data

submit

Submit vulnerabilities on Jira Software Cloud

Submit vulnerabilities

update

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 CrewAI via MCP

Follow these steps to wire Jira Software Cloud into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 31 tools from Jira Software Cloud

Why Use CrewAI with the Jira Software Cloud MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Jira Software Cloud through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Jira Software Cloud + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Jira Software Cloud MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Jira Software Cloud for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Jira Software Cloud, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Jira Software Cloud tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Jira Software Cloud against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Jira Software Cloud in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Jira Software Cloud to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Jira Software Cloud + CrewAI FAQ

Common questions about integrating Jira Software Cloud MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Explore More MCP Servers

View all →

Netrows

12 tools

Track global flights via Netrows Aviation API — search flights, monitor aircraft, check airport data, and access airline schedules from any AI agent.

NCDC Climate Data Online

10 tools

Access authoritative historical weather and climate data via NCDC — track datasets, stations, and climate records directly from your AI agent.

Skylink

22 tools

Connect your AI agents to Skylink to manage leads, deals, calls, contacts, tasks, and agent performance in a real estate CRM.

NASA Media & Patents — Images, Videos & Technology Transfer

4 tools

Search NASA's library of 140,000+ images and videos from every mission: Apollo, ISS, Hubble, Webb, Mars rovers, and more — plus browse NASA's technology transfer portfolio of patents and commercial spinoffs available for licensing.