$ loading_
Connect AI to MantisBT to read, update, resolve, and semantically search issues.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-mantis" yet — see the docs or source repo.
Connect to MantisBT and list high-priority issues created in the last 7 days that are still unresolved, then summarize them by project.
A list of matching issues plus a brief summary grouped by project.
Update issue #1234 to resolved and add the note: Fixed and awaiting verification.
The issue status is updated and a new handling note is added.
Search MantisBT for historical issues semantically similar to 'blank page after login' and list the most relevant matches.
Relevant semantically similar issues are returned for reuse of prior investigation or fixes.
Developers or testers can have AI read and update MantisBT issues directly, reducing manual context switching when changing statuses or adding notes.
When a team encounters a new defect, semantic search can surface similar historical issues to speed up troubleshooting and reuse prior solutions.
Product managers or DevOps staff can ask AI to summarize unresolved issues by project or status for easier tracking of open work.
It gives AI assistants direct access to MantisBT issue trackers through the REST API. Based on the provided information, it supports reading, updating, resolving, and semantically searching issues.
From the description, it relies on the MantisBT REST API. The provided material does not specify installation steps, authentication details, or runtime requirements; see the source repository.
Besides standard reading and updating, it specifically highlights semantic issue search. That means it is meant not only for accessing issue data but also for finding historically similar records.
Manage MantisBT issues, notes, files, and semantic search workflows.
Interact with a local SQLite issue tracker for full issue lifecycle management.
Fetch Redmine issues through MCP for project tracking and issue review.
Create, update, and query Redmine projects and issues through chat.
Enable AI assistants to search, create, and manage JIRA issues with JQL.
Lets AI access GitLab projects and query merge requests, issues, and pipelines.