SOFTWARE BY USE CASE
Specific integrations, their permissions and documented client support.
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Check the publisher, supported client, authentication, read and write permissions, hosting model and last verification date. An MCP listing does not by itself prove that every client or feature is supported. Use the linked implementation and compatibility sources.
Our 0–5 stars are editorial assessments for a stated use case, not an average of customer reviews. Documentation reviews weigh fit (40%), workflow (25%), cost transparency (20%) and control (15%). Separately communicated editorial overall assessments show their basis and date in the profile. We regularly update our lists; scores expire after 90 days without a new review.
Read our rating methodology →4 current Ratings · highest stars first. Equal scores share a rank. Profiles without a reliable rating or with a provider relationship follow without a rank. The rating relates to the focus stated in the profile. How we rate
Linear organizes product development through issues, projects and team workflows. Its MCP server can find, create and update issues, projects and comments.
Suitable for: Product teams · Issue management
Linear suits product teams using issues, projects and recurring planning. API, webhooks and MCP enable documented integrations. Permission tiers are clearly understandable; organization-wide control and larger team structures differ by plan. Verdict & sources
GitHub combines Git repositories, code reviews and collaboration with Actions for CI/CD, Codespaces and AI features.
Suitable for: Collaborative repository work · Individuals · Teams · Software teams · Repository management
Atlassian connects Jira, Confluence, Bitbucket and Loom, among other products; its MCP server enables search, summaries and changes to work items and pages.
Suitable for: Jira and Confluence teams · Project knowledge
The Atlassian MCP server connects work knowledge and actions across several Atlassian products. Version, setup and existing user permissions are well documented. Pricing rules distinguish free single-product access from extended context; announced additional billing requires shared usage monitoring. Verdict & sources
Sentry offers error monitoring, logs, tracing and other diagnostic tools. Its MCP server connects AI assistants with errors, performance data and project administration.
Suitable for: Error analysis · Application diagnostics
Sentry documents error diagnosis, performance analysis and access by AI assistants. This suits development teams with running applications. Data types and add-ons affect billing; MCP scoping improves boundaries but does not replace account permission configuration. Verdict & sources
All published matches in the current result order. Ratings assess each tool’s stated use case; they are editorial scores, not customer reviews. Follow the source links for plan limits.
| Tool / profile | Editorial rating | Suited to | Free plan | API | Self-hosting | Profile reviewed |
|---|---|---|---|---|---|---|
| Linear | 4.5 / 5 | Product teams | Not verified | Not verified | Not verified | |
| GitHub | 4.4 / 5 | Collaborative repository work | Yes ↗ | Not verified | Not verified | |
| Atlassian | 4.3 / 5 | Jira and Confluence teams | Not verified | Not verified | Not verified | |
| Sentry | 4.3 / 5 | Error analysis | Not verified | Not verified | Not verified |
4 of 4 entries · Not a complete market overview
