jira-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| JIRA_API_KEY | Yes | Your JIRA API token generated from Atlassian account settings | |
| JIRA_USER_EMAIL | Yes | The email address associated with your JIRA/Atlassian account | |
| JIRA_INSTANCE_URL | Yes | Your JIRA instance URL (e.g., https://your-instance.atlassian.net) |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| jql_searchC | Perform enhanced JQL search in Jira |
| get_issueC | Retrieve details about an issue by its ID or key. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_issue retrieves a single issue by ID/key, while jql_search performs broader queries using JQL. There is no overlap or ambiguity between them, as they serve different use cases (specific lookup vs. flexible search).
Both tools follow a consistent snake_case naming pattern with clear verb_noun structure: get_issue and jql_search. The naming is predictable and readable, with no deviations or mixed conventions.
With only 2 tools, this server feels severely under-scoped for a Jira integration. A typical Jira MCP would need more operations like create_issue, update_issue, or list_projects to cover basic workflows. The current set is too thin for meaningful agent interaction.
The tool surface is significantly incomplete for Jira's domain. While get_issue and jql_search provide read/search capabilities, there are major gaps in CRUD operations (no create, update, or delete) and missing lifecycle management (e.g., transitions, comments). This will cause agent failures in common scenarios.