Jira

Jira MCP Server

Knit's Jira MCP Server gives your AI agents instant, code-free access to every Jira API endpoint-read, write, and automate without OAuth headaches or custom endpoints.

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Key Features

All the power of AI-ready tools — serverless hosting, mix-and-match APIs, live updates, semantic search, and built-in auth — in a single, plug-and-play platform.

Serverless by Default

Spin up MCP Servers with zero infrastructure — Knit scales, patches, and monitors everything for you.

Mix-and-Match Tool Bundles

Deploy only the API tools you need from any app in a single lightweight server — no bloat, no duplication.

Plug-In Your Own APIs

Expose custom endpoints as AI-ready tools alongside Knit's catalog, unifying proprietary logic and third-party apps in one place.

Semantic Tool Search

Natural-language search surfaces the right tools for each use case, shrinking token costs and boosting LLM accuracy.

Hot-Swap Tools at Runtime

Add or remove tools without downtime; your agents see new capabilities instantly — no server restarts required.

Auth Handled for You

OAuth, SAML, service accounts — Knit manages credentials and refreshes so your team never wrestles with tokens.

See It In Action

Watch an agent automate workflows — all with Knit's plug-and-play MCP Servers.

Actions Available via Jira MCP Server

Every action below is real and already live — not a roadmap item. Browse the full API reference →

Create Ticket

The Create Ticket API is used to create a new ticket in the system. It requires several parameters in the request body, including the ticket name, assigned user ID, creator user ID, due date, description, ticket type ID, account ID, project ID, group ID, contact IDs, priority, source, tags, and additional metadata. The request must include headers for content type and authorization. Upon successful creation, the API returns the ticket ID in the response body.

Update Ticket

The Update Ticket API allows users to update an existing ticket by providing the ticket ID and other relevant details. The request includes headers for content type and authorization, a path parameter for the ticket ID, and a body containing details such as the ticket name, assigned user ID, creator ID, due date, description, ticket type ID, account ID, project ID, group ID, contact IDs, priority, source, tags, status, and additional metadata. The response returns the updated ticket ID.

Get List of All Users in the System

This API retrieves a list of all users in the system. It supports pagination through the 'cursor' query parameter. The response includes pagination details and a list of users, each with attributes such as ID, name, email ID, phone number, active status, and associated group IDs.

Get List of Accounts or Companies

This API retrieves a list of all accounts or companies in the system. It supports pagination through the use of a 'cursor' query parameter. The response includes pagination information with 'next' and 'previous' cursors, and a list of accounts, each containing details such as 'id', 'name', 'createdAt', 'website', and 'industry'. No headers, path parameters, or request body are required for this API.

Get List of Tickets

The Get List of Tickets API retrieves a list of all tickets in the system with optional filters. The API supports filtering by account ID, contact ID, assigned user ID, status, tag, ticket type, creation date range, update date range, and due date range. Pagination is supported through a cursor parameter. The response includes pagination information and a list of tickets, each with details such as ID, creation and update timestamps, name, assigned user, creator, due date, status, description, ticket type, associated account, project, group, contact IDs, priority, source, URL, tags, and custom fields.

Get Account Details

This API retrieves the details of a particular account or company in the system. It requires the account ID as a path parameter. The response includes the account ID, name, creation date, website, and industry.

Get Comments for a Ticket

This API retrieves the list of all comments, conversations, or notes along with attachments for a specific ticket. The request requires the 'ticketId' as a query parameter to identify the ticket for which comments are to be fetched. An optional 'cursor' parameter can be used for pagination. The response includes pagination details and an array of comments, each with details such as the comment ID, creation date, body, HTML formatted body, visibility status, author information, and any associated attachments.

Get User Details in the System

This API retrieves the details of a particular user in the system. It requires a 'userId' as a query parameter to identify the user. The response includes the user's ID, name, email ID, phone number, active status, and the list of group IDs the user is part of.

Get List of Contacts or People

This API retrieves a list of all contacts or people in the system. It accepts optional query parameters such as 'accountId' to filter contacts by a specific account and 'cursor' for pagination. The response includes pagination details and an array of contact objects, each containing information like contact ID, name, creation date, email address, phone number, and associated account ID.

Get Ticket By ID

The Get Ticket By ID API retrieves the details of a specific ticket using its ID. The request requires the ticket ID as a path parameter. The response includes comprehensive details about the ticket such as its creation and update timestamps, name, assigned user, creator, due date, status, description, type, associated account, project, group, contact IDs, priority, source, URL, tags, and any custom fields.

Get List of All Tags in the System

This API retrieves a list of all tags that can be applied to a ticket in the system. It supports pagination through the use of a 'cursor' query parameter. The response includes pagination details and an array of tags, each with an ID and name.

Get List of All Groups or Teams in the System

This API retrieves a list of all groups or teams in the system. It supports pagination through a 'cursor' query parameter. The response includes pagination information and details of each group, such as the group ID, name, description, whether it is public, and the list of user IDs belonging to the group.

Get Contact or Person Details by ID

This API retrieves the details of a particular contact or person in the system using their contact ID. The request requires the contact ID as a path parameter. The response includes the contact's ID, name, creation date, email address, phone number, and the account ID to which the contact belongs.

Add Comments for a Ticket

This API is used to add comments, conversations, or notes along with attachments for a particular ticket. The request body requires a 'ticketId' to specify the ticket for which the comment is being added. Optional fields include 'body' for the comment text, 'isPublic' to indicate if the comment is public, 'author' to specify the author of the comment, 'attachments' for any files to be attached, and 'metadata' for any additional fields. The response returns the 'id' of the newly created comment.

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Knit vs. building a standalone Jira MCP Server

Building it yourself

  • A custom MCP server for Jira, hosted and maintained in-house
  • Handle Jira's OAuth, rate limits, and pagination yourself
  • Re-test and patch every time Jira changes their API
  • No tool search — every tool sits in your agent's context at once
  • Engineering time spent on plumbing, not your product
  • Weeks of dev time before you ship

With Knit

  • Jira MCP Server already built, hosted, and maintained
  • Knit handles Jira's OAuth, storage, and refresh for you
  • Knit absorbs Jira's API changes — nothing breaks on your end
  • Semantic tool search keeps agent context lean
  • Your team ships your product, not integration plumbing
  • Live in minutes, not weeks

Enterprise-grade security

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Customer Stories

See how leading technology firms are scaling their operations

Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
H
Huynh H
Developer, Multiplier
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
J
Jayesh
Co-Founder, Scrut
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
P
Poorvi
Product Manager, Onsurity
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
A
Aditya
Product Lead, RazorpayXPayroll
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
R
Rohit Singh
GM, Payoneer Workforce Management

#1 in Ease of Integrations

4.9 out of 5 stars

4.9 out of 5 stars on G2

G2 Leader, Spring 2026G2 Fastest Implementation, Spring 2026G2 High Performer, Spring 2026G2 Best Est. ROI, Spring 2026
FAQ

Common questions about the Jira MCP Server

Does Knit have an MCP Server for Jira out of the box?

Yes — the Jira MCP Server is live and already built, not a roadmap item. It exposes Jira's real actions as AI-ready tools your agent can call directly.

Does the Jira MCP Server support both reading and writing data?

Yes. Its actions cover both reads and writes, so your agent can pull data from Jira and push updates back to it, not just query it.

How does authentication work for the Jira MCP Server?

Knit manages Jira's OAuth, credential storage, and refresh for you — there's no auth to configure yourself before your agent can start calling tools.

What happens if Jira changes their API?

Knit absorbs it. We maintain and update the Jira connector on our end, so the MCP Server keeps working without you tracking Jira's changelog.

Do you store Jira data or customer PII?

No. Knit acts as a stateless passthrough — data is processed on our application server and returned directly to your agent, without being stored on Knit's servers.

What is the pricing model, and is there a free trial?

You choose the model that fits your business — pricing based on integrated accounts, or based on API call volume. Every plan includes a 30-day free trial before billing starts.

Can I use this as an LLM tool for function calling?

Yes — this MCP server exposes Jira's actions as tools your AI agent can call directly, the same underlying capability previously offered as a standalone LLM Tool integration. MCP is the protocol; the tool-calling access is the same.

Does this work with Claude, GPT, and other LLMs?

Yes — any MCP-compatible client or agent framework can connect to this server and call its exposed actions, regardless of which underlying LLM is driving the agent.

See all FAQs

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