DeepSource▌
by sapientpants
Integrate DeepSource's static code analysis tools for real-time project metrics, issue tracking, and code quality insigh
Integrates with DeepSource's code quality platform to provide access to project metrics, issues, and analysis results for monitoring and troubleshooting code quality directly in conversations.
best for
- / Development teams tracking code quality metrics
- / Code reviewers investigating quality issues
- / Engineering managers monitoring project health
- / DevOps teams integrating quality checks
capabilities
- / Query code quality metrics from DeepSource projects
- / Retrieve active and resolved issues from repositories
- / Access code analysis results and reports
- / Monitor code coverage trends
- / Fetch project-specific quality insights
what it does
Connects to DeepSource's code quality platform to retrieve project metrics, issues, and analysis results. Lets you monitor and troubleshoot code quality through AI conversations.
about
DeepSource is a community-built MCP server published by sapientpants that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate DeepSource's static code analysis tools for real-time project metrics, issue tracking, and code quality insigh It is categorized under auth security, developer tools.
how to install
You can install DeepSource in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
DeepSource is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Integrate DeepSource's static code analysis tools for real-time project metrics, issue tracking, and code quality insigh
TL;DR: Connects to DeepSource's code quality platform to retrieve project metrics, issues, and analysis results. Lets you monitor and troubleshoot code quality through AI conversations.
What it does
- Query code quality metrics from DeepSource projects
- Retrieve active and resolved issues from repositories
- Access code analysis results and reports
- Monitor code coverage trends
- Fetch project-specific quality insights
Best for
- Development teams tracking code quality metrics
- Code reviewers investigating quality issues
- Engineering managers monitoring project health
- DevOps teams integrating quality checks
Highlights
- Direct DeepSource platform integration
- Real-time code quality monitoring
FAQ
- What is the DeepSource MCP server?
- DeepSource is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for DeepSource?
- This profile displays 32 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Ratings
4.7★★★★★32 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
Strong directory entry: DeepSource surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Xiao Jain· Dec 16, 2024
We wired DeepSource into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Aarav Agarwal· Dec 16, 2024
DeepSource reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Amelia Jain· Dec 8, 2024
DeepSource is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Amelia Singh· Nov 27, 2024
DeepSource is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Nov 19, 2024
DeepSource has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Xiao Reddy· Nov 7, 2024
We evaluated DeepSource against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aarav Abebe· Oct 26, 2024
DeepSource is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kaira Yang· Oct 18, 2024
We evaluated DeepSource against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Shikha Mishra· Oct 10, 2024
According to our notes, DeepSource benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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