How to connect Jira to OpenClaw
Connect Jira to OpenClaw with ClawLink in one click — 94 tools your AI agent can call from chat via hosted OAuth. No API keys, no manual setup.


Create and manage issues and sprints. Once connected, OpenClaw can read and act on Jira from chat — pairing, token refresh, and tool wiring handled for you.
The usual route to Jira access for OpenClaw is an MCP server you configure and keep running, plus your own OAuth app or API keys. ClawLink gives OpenClaw a more practical Jira setup: install one ClawHub skill, connect Jira in the browser, and OpenClaw can call real Jira actions from any chat surface with no auth, token refresh, or tool wiring to build yourself.
Copy this prompt into OpenClaw, or open the Jira skill on ClawHub.
Before installing anything, inspect the ClawHub skill metadata and setup requirements.
If the skill asks you to install a third-party package or CLI, verify its source, maintainer, and package contents before running the install command.
Install the skill "Jira" (hith3sh/jira-workspace) from ClawHub only after those checks pass.
Skill page: https://clawhub.ai/hith3sh/jira-workspace
Keep the work scoped to this skill only.
After install, help me finish setup from verified skill metadata.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.Setup
It takes three steps to connect OpenClaw to Jira.
1Install the plugin
Paste the setup prompt into OpenClaw, or install from the terminal and ask OpenClaw to pair:
openclaw plugins install clawhub:clawlink-plugin- 2
Connect Jira
One-click OAuth in the dashboard.
- 3
Use it from chat
Ask OpenClaw: "What can you do with Jira?"
Install by command
The setup prompt above does all of this in one paste. By hand, it is one install command plus a browser approval:
openclaw plugins install clawhub:clawlink-pluginThen ask OpenClaw to set up ClawLink. It starts browser pairing and prints an approval link — open it, approve the device, return to the chat, and say done. Finally, connect Jira in the ClawLink dashboard — a one-click OAuth approval, no API keys.
Verify the connection by asking OpenClaw:
Search Jira for issues in project <KEY> with status "In Progress" and no update in 14 days. Show me the key, summary, and assignee for each. Do not change anything yet — I will tell you which ones to act on.
Using a different agent?
The OpenClaw plugin is one client of ClawLink's MCP server. Claude Code, Cursor, Codex, or any agent that can run a shell command pairs with the same ClawLink account through the CLI:
npx -y @useclawlink/cli loginlogin opens the same browser approval and stores a credential locally. Once Jira is connected in the dashboard, that agent calls the same 94 Jira tools over MCP. Full setup for MCP clients and shell agents: connect apps to any AI agent.
Jira MCP for OpenClaw
Looking for a Jira MCP server for OpenClaw? ClawLink connects Jira to OpenClaw and exposes 94 Jira tools your agent can call over MCP, with hosted auth and nothing to run or maintain yourself. Using Hermes instead? The Hermes Jira integration works the same way.
Every guide to putting Jira in an agent starts the same way: open Atlassian account settings, create an API token, copy it into a config file, and keep it in sync on every machine that runs the agent. ClawLink replaces that with Atlassian's OAuth consent screen — you approve access to your site once in the browser, and OpenClaw can call the 94 Jira tools below. There is no token in openclaw.json, nothing to rotate by hand, and revoking access is a click in the ClawLink dashboard rather than a token you have to remember to delete.
What the OpenClaw Jira integration can do
94 Jira tools are ready for OpenClaw once the account is connected. The 30 below are the ones people reach for most; your agent can call all 94.
30 of 94 Jira tools for OpenClaw
| Tool | What it does |
|---|---|
Add attachment jira_add_attachment | Upload and attach a file to a Jira issue |
Add comment jira_add_comment | Add a comment to an existing Jira issue |
Add user to group jira_add_user_to_group | Add a user to a Jira group |
Add users to project role jira_add_users_to_project_role | Add users to a Jira project role |
Check permissions jira_check_permissions | Check user permissions for Jira operations |
Create jql autocompletedata jira_create_jql_autocompletedata | Retrieve JQL autocomplete reference data |
Evaluate jira expression jira_evaluate_jira_expression | Evaluate Jira expressions using the enhanced search API |
Fetch bulk issues jira_fetch_bulk_issues | Bulk fetch multiple Jira issues by IDs or keys |
Find users2 jira_find_users2 | Find users in Jira by query or account ID |
Get all groups jira_get_all_groups | Retrieve all groups from the Jira instance |
Analyse expression jira_analyse_expression | Analyses Jira expressions for syntax validation, type checking, and complexity analysis |
Find users for picker jira_find_users_for_picker | Find users for picker components by matching query against user attributes like display name |
Get all issue type schemes jira_get_all_issue_type_schemes | Retrieves all Jira issue type schemes with optional filtering and pagination |
Get all projects jira_get_all_projects | Retrieves all visible projects using the modern paginated Jira API with server-side filtering |
Get all statuses jira_get_all_statuses | Retrieves all issue statuses associated with workflows from Jira |
Get all users jira_get_all_users | Retrieves all users from the Jira instance including active, inactive, app accounts, and system |
Get attachment jira_get_attachment | Retrieves the binary content of a Jira attachment by ID |
Get attachment meta jira_get_attachment_meta | Retrieve Jira attachment settings including upload limits and enabled status |
Get comment jira_get_comment | Retrieves a specific comment by ID from a Jira issue with optional expansions |
Get components jira_get_components | Retrieve components from Jira projects with search and filtering |
Get create metadata issue type fields jira_get_create_metadata_issue_type_fields | Retrieve field metadata for a specific issue type in a project |
Get current user jira_get_current_user | Retrieves detailed information about the currently authenticated Jira user |
Get dashboards jira_get_dashboards | List and search Jira dashboards visible to the current user |
Get favorite filters jira_get_favorite_filters | Retrieve favorite filters for the current user |
Get fields jira_get_fields | Retrieve Jira issue fields metadata |
Get fields paginated jira_get_fields_paginated | Retrieve Jira fields in pages |
Get filter jira_get_filter | Retrieves a specific Jira saved filter by ID, including its JQL and sharing metadata, to reuse |
Get group jira_get_group | Retrieves details of a specific Jira group by name or ID |
Get info jira_get_info | Retrieves runtime information for the Jira Service Management instance |
Get issue jira_get_issue | Retrieves a Jira issue by ID or key with customizable fields and expansions |
Try it: find the Jira tool you need
Browse the 30 Jira tools
Click any tool to see exactly what OpenClaw can do and copy a ready-to-use prompt.
Example prompts
Search Jira for issues in project <KEY> with status "In Progress" and no update in 14 days. Show me the key, summary, and assignee for each. Do not change anything yet — I will tell you which ones to act on.
Create a Jira bug in project <KEY> titled "<summary>", with a description built from the error I pasted above, priority High. Use jira_get_create_metadata_issue_type_fields first so the required fields are right, then give me the new issue key.
Add a comment to <KEY>-1234 with jira_add_comment summarising the fix we just discussed, then read the issue back with jira_get_issue and confirm the comment is there.
Use jira_fetch_bulk_issues to pull <KEY>-101 through <KEY>-140 in as few calls as possible, then give me a table of key, status, assignee, and last updated. Do not fetch them one at a time.
How the Jira tools take their arguments
Details from the manifest that decide whether a Jira prompt works first time.
- Issue keys and issue ids are both accepted, and keys are safer.
PROJ-1234is stable and human-checkable; the numeric id is not, and an id lifted from an example is the most common cause of a confusing 403. jira_fetch_bulk_issuesis the batch read. Pulling forty issues one call at a time is what walks an agent into the per-hour points quota. One bulk call does the same work for a fraction of the points.jira_check_permissionsanswers the 403 question directly. Before guessing at scopes, have the agent ask Jira what the connected account can actually do on that project.- Create needs the project's own required fields.
jira_get_create_metadata_issue_type_fieldsreturns which fields a given issue type demands on a given project; screens and field configurations differ per project, so a create that works on one board fails on the next without it. - User lookup is
jira_find_users2orjira_find_users_for_picker. Atlassian's privacy controls mean user records often come back without an email address, so match on account id rather than expecting to resolve people by email.
ClawLink vs. building it yourself
The alternative to ClawLink is usually manual OAuth app setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Jira working from chat.
| Manual | ClawLink | |
|---|---|---|
| Connection flow | Register a Jira app, configure redirect URLs, manage consent details, and reconnect users when auth settings drift. | Users connect Jira through the hosted browser flow and ClawLink keeps the token lifecycle out of your app code. |
| Ongoing maintenance | You own refresh logic, permission debugging, environment config, and every provider-specific edge case for Jira. | ClawLink handles the repetitive integration plumbing so your team can focus on the workflow instead of the infrastructure. |
| Agent usability | You still need to expose the right Jira actions to the runtime in a format your agent can reliably use. | 94 tools for Jira are already exposed through ClawLink, so the agent can read and act from chat immediately. |
ClawLink vs. Composio
Composio also exposes Jira to AI agents. It is developer infrastructure: Python and TypeScript SDKs, an MCP server, and a catalog past 1,000 apps, aimed at teams shipping agent products. ClawLink is built for OpenClaw users instead. You install the plugin once, connect Jira in the browser, and the 94 tools above work from chat. There is no SDK, no config file, and no API key handling. Choosing between them? Read the full Composio alternatives comparison.
Troubleshooting
OpenClaw installed the Jira skill but can't call the tools
The ClawHub skill teaches OpenClaw about Jira, but the calls run through the ClawLink plugin and your connected account. Make sure Jira is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.
Connection succeeds but no tools appear
Reconnect Jira from the dashboard, then start a fresh chat if the runtime still has the old tool catalog loaded.
"Tool schema not loaded yet" error when calling Jira tools
Jira tool schemas load on demand the first time a tool runs and are cached after that, so this error usually clears on its own: wait a few seconds and retry the same request. If every Jira call keeps failing with it in a fresh chat, reconnect from the dashboard, and contact support if it still persists — that pattern points to a configuration problem on our side, not something you can fix by reconnecting again.
Jira returns 403 or "permission denied" on one action while others work
Two usual causes. The connected account may not have access to the specific workspace, inbox, store, or project in the request — check that first. If access looks right, the agent may have sent a placeholder value (like "YOUR_ID" or an example id from documentation) instead of a real one: ask it to run a list or search tool first, then retry the action with a real id from those results. Most failures at this stage are one of these two, not ClawLink bugs.
Jira returns 403 or "You do not have permission to view this issue"
Work through three causes in this order. First, scope: the OAuth grant carries a specific set of Jira scopes, and a partial approval on the consent screen leaves the connection active but unable to do a whole class of action, which is why reads succeed while writes fail. Reconnect and accept the full set. Second, project access: Jira permissions are per-project and per-scheme, so the connected account may simply not be a member of that project or may lack Edit Issues on that board even though it can read it. Third, and this is the cause the search results never teach, the agent may have passed a placeholder from documentation — an issue key like PROJ-123 or an id like 10001 lifted from an example — which Jira rejects with the same 403 rather than a not-found. Ask the agent to list real issues first and retry with a key from that result.
Ask the agent to diagnose it:
Call jira_get_current_user and jira_get_all_projects, tell me which account you are connected as and which projects it can see. Then run jira_check_permissions for the project that failed. Do not retry the failed call yet.Jira returns 429 "Too Many Requests" or the agent stalls partway through a bulk update
Atlassian began enforcing new points-based and tiered quota rate limits for Jira Cloud apps on 2 March 2026, and they apply to OAuth 2.0 (3LO) apps, which is what a hosted connection is. Worth knowing: API-token traffic was explicitly not part of that change and still runs under the older burst limits, so a script you wrote with a personal token may behave differently from the agent on the same site. Jira Cloud runs three independent limiters at once — a per-hour points quota where each call costs points according to how much work it does, per-second burst limits per endpoint, and a separate per-issue write limit that caps how often a single issue can be modified. The last one is the usual cause when an agent updating one ticket repeatedly stalls while everything else keeps working. Jira sends a Retry-After header with the 429; the fix is to batch the work rather than retry immediately, using jira_fetch_bulk_issues to read many issues in one call instead of looping.
Ask the agent to diagnose it:
Tell me which Jira tools you called in the last two minutes, how many times each, and whether any response included a Retry-After header. Do not call Jira again until I reply.A Jira tool returns "tool not found" or the agent invents a jira_jira_ prefixed name
Tool schemas load on demand, so the first Jira call in a fresh session can arrive before the catalog does — retry once and it usually resolves. If the same name fails twice the name is wrong, not missing. The tools already carry the integration prefix, so they are jira_get_issue and jira_add_comment, and an agent adding another prefix produces a name that has never existed. This is a different problem from the one most search results address, which is a local MCP server missing from a desktop client's config file. There is no local server in this setup and no config file to edit.
Ask the agent to diagnose it:
List the Jira tools you actually have access to. Then tell me which one fetches a single issue by key and use that exact name.OAuth finished in the browser but the account is still missing
Try reconnecting Jira and complete the consent flow in the same browser session. Partial OAuth approvals or switching accounts mid-flow can leave the connection incomplete.
FAQ
Is there a OpenClaw Jira integration?
Yes. ClawLink is the fastest way to connect OpenClaw to Jira: link your Jira account once in the browser and OpenClaw can call the Jira API through 94 ready-made tools — no custom code or token handling.
How do I add Jira to OpenClaw with ClawLink?
Paste the setup prompt from this page into OpenClaw. It installs the ClawLink Jira skill from ClawHub, then you click Connect in the dashboard to authorize Jira. OpenClaw calls the tools from the next message — no config files or API keys to manage.
How long does it take to connect Jira to OpenClaw?
About two minutes. Sign in, click Connect next to Jira in the dashboard, authenticate, and OpenClaw can use it from the next chat message.
Why use ClawLink instead of wiring Jira up myself?
The alternative to ClawLink is usually manual OAuth app setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Jira working from chat.
Do I still need an Atlassian API token?
No. The connection uses Atlassian's OAuth flow, so you sign in and approve access to your Jira site and the credential lives on the ClawLink server rather than in a file on your machine. This is the practical difference from the setup most search results describe, which has you mint a token in Atlassian account settings and paste it into the agent's config. It also changes what happens when you leave a project or an admin revokes access: an OAuth grant stops working immediately, where a stale API token in a config file keeps working until someone remembers it exists.
Which Jira permissions does the agent get?
The same ones your Atlassian account already has, scoped by what you approve on the consent screen. Jira's own permission model still applies on every call, so if your account cannot see a project, neither can the agent, and if you lack the Edit Issues permission on a board, the agent's update calls fail there too. That is the honest boundary to plan around: connect with the account whose access you actually want the agent to have, not an admin account you happen to be signed in as.
Does OpenClaw work with Jira Cloud, Server, or Data Center?
This integration targets Jira Cloud, the atlassian.net hosted product, because the OAuth flow and the REST endpoints behind these tools are Cloud's. Self-managed Jira Server and Data Center sit behind your own network and authenticate differently, so a hosted connector cannot reach them without you exposing the instance. If you are on Data Center, the honest answer is that a hosted OAuth service is the wrong shape and you want something running inside your own network.
How do I stop the agent editing the wrong issue?
Give it the issue key and say what you want changed. Jira keys like PROJ-1234 are unambiguous, and every write tool takes one, so a prompt that names the key cannot drift onto a neighbouring ticket. The failure mode to avoid is the open-ended instruction — asking the agent to "close the stale bugs" leaves both the selection and the definition of stale to the model. Ask it to run a JQL search first, show you the issues it matched, and only then act on the keys you confirm.
OpenClaw installed the Jira skill but can't call the tools
The ClawHub skill teaches OpenClaw about Jira, but the calls run through the ClawLink plugin and your connected account. Make sure Jira is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.
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