test-intel-mcp
Related Servers
Alternatives to test-intel-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceMCP server that analyzes TypeScript/JavaScript codebases via AST parsing and dependency graph tracing to identify affected tests, detect dead code, circular dependencies, and trace import chains, enabling AI agents to run only relevant tests.1545 npmMIT
- AlicenseAqualityFmaintenanceMCP server for Codecov that provides tools to get commit coverage totals and prompts to suggest tests to write.161 npm6ISC
- AlicenseNot gradedqualityDmaintenanceMCP server that provides instant, token-efficient test coverage data for any programming language, allowing agents to query coverage summaries and track session progress.42 npm41MIT
- FlicenseAqualityDmaintenanceMCP server for Java branch coverage analysis using JaCoCo. Enables agent-style coverage feedback with per-test-class granularity and uncovered line identification.2-
- AlicenseNot gradedqualityAmaintenanceAn MCP server that gives AI assistants direct access to .NET test-coverage tooling, enabling them to run tests, parse Cobertura XML, identify uncovered branches, diff coverage between runs, and append test code.1MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for test impact analysis and code intelligence. Maps tests to code and git history to determine impacted tests, risk scores, and ownership for AI coding agents.3MIT
TDQS
Scored across 4 tools
Each tool has a distinct focus: generating test cases, parsing coverage reports, finding untested functions, and analyzing complexity. However, find_untested_functions and get_function_complexity both aim at identifying functions that need testing, which could cause some initial confusion.
All tool names follow a consistent snake_case verb_noun pattern, e.g., suggest_test_cases, analyze_test_coverage, find_untested_functions, get_function_complexity. This makes the toolset predictable and easy for an agent to navigate.
Four tools is well-scoped for a testing intelligence server, with each tool serving a clear and non-redundant purpose. There is no bloat, and the count feels sufficient for the stated domain.
The set covers a natural workflow of testing intelligence: generating tests, assessing coverage, identifying untested functions, and prioritizing via complexity. This is a solid read-only surface, though additional tools like listing existing test files or summarizing coverage trends could round it out further.