ClawLink

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.

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OpenClaw
OpenClaw
ClawLink
ClawLink
Jira
Jira
JiraOAUTH2MCP

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.

94 tools

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.

Prompt for OpenClaw
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.

  1. 1

    Install 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. 2

    Connect Jira

    One-click OAuth in the dashboard.

  3. 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-plugin

Then 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 login

login 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

ToolWhat it does
Add attachment jira_add_attachmentUpload and attach a file to a Jira issue
Add comment jira_add_commentAdd a comment to an existing Jira issue
Add user to group jira_add_user_to_groupAdd a user to a Jira group
Add users to project role jira_add_users_to_project_roleAdd users to a Jira project role
Check permissions jira_check_permissionsCheck user permissions for Jira operations
Create jql autocompletedata jira_create_jql_autocompletedataRetrieve JQL autocomplete reference data
Evaluate jira expression jira_evaluate_jira_expressionEvaluate Jira expressions using the enhanced search API
Fetch bulk issues jira_fetch_bulk_issuesBulk fetch multiple Jira issues by IDs or keys
Find users2 jira_find_users2Find users in Jira by query or account ID
Get all groups jira_get_all_groupsRetrieve all groups from the Jira instance
Analyse expression jira_analyse_expressionAnalyses Jira expressions for syntax validation, type checking, and complexity analysis
Find users for picker jira_find_users_for_pickerFind users for picker components by matching query against user attributes like display name
Get all issue type schemes jira_get_all_issue_type_schemesRetrieves all Jira issue type schemes with optional filtering and pagination
Get all projects jira_get_all_projectsRetrieves all visible projects using the modern paginated Jira API with server-side filtering
Get all statuses jira_get_all_statusesRetrieves all issue statuses associated with workflows from Jira
Get all users jira_get_all_usersRetrieves all users from the Jira instance including active, inactive, app accounts, and system
Get attachment jira_get_attachmentRetrieves the binary content of a Jira attachment by ID
Get attachment meta jira_get_attachment_metaRetrieve Jira attachment settings including upload limits and enabled status
Get comment jira_get_commentRetrieves a specific comment by ID from a Jira issue with optional expansions
Get components jira_get_componentsRetrieve components from Jira projects with search and filtering
Get create metadata issue type fields jira_get_create_metadata_issue_type_fieldsRetrieve field metadata for a specific issue type in a project
Get current user jira_get_current_userRetrieves detailed information about the currently authenticated Jira user
Get dashboards jira_get_dashboardsList and search Jira dashboards visible to the current user
Get favorite filters jira_get_favorite_filtersRetrieve favorite filters for the current user
Get fields jira_get_fieldsRetrieve Jira issue fields metadata
Get fields paginated jira_get_fields_paginatedRetrieve Jira fields in pages
Get filter jira_get_filterRetrieves a specific Jira saved filter by ID, including its JQL and sharing metadata, to reuse
Get group jira_get_groupRetrieves details of a specific Jira group by name or ID
Get info jira_get_infoRetrieves runtime information for the Jira Service Management instance
Get issue jira_get_issueRetrieves 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-1234 is 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_issues is 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_permissions answers 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_fields returns 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_users2 or jira_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.

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.

ManualClawLink
Connection flowRegister 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 maintenanceYou 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 usabilityYou 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.

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.