Jira Software Cloud MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Jira Software Cloud through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Jira Software Cloud MCP Server for Pydantic AI 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

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Jira Software Cloud "
            "(31 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Jira Software Cloud?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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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.

Pydantic AI validates every Jira Software Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 31 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 31 tools from Jira Software Cloud with type-safe schemas

Why Use Pydantic AI with the Jira Software Cloud MCP Server

Pydantic AI provides unique advantages when paired with Jira Software Cloud through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Jira Software Cloud integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Jira Software Cloud connection logic from agent behavior for testable, maintainable code

Jira Software Cloud + Pydantic AI Use Cases

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

Type-safe data pipelines: query Jira Software Cloud with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Jira Software Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Jira Software Cloud and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Jira Software Cloud responses and write comprehensive agent tests

Example Prompts for Jira Software Cloud in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Jira Software Cloud + Pydantic AI FAQ

Common questions about integrating Jira Software Cloud MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Jira Software Cloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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