"A server for test coverage and MCP integration" matching MCP servers:

MCP server that provides instant, token-efficient test coverage data for any programming language, allowing agents to query coverage summaries and track session progress.

MCP server for Java branch coverage analysis using JaCoCo. Enables agent-style coverage feedback with per-test-class granularity and uncovered line identification.

A local coverage history server that stores coverage snapshots in DuckDB and provides MCP tools for LLMs to query coverage data without reading large reports.

Enables MCP clients to pull complete Google Search Console performance data by paginating past the API's 25,000-row cap, with large results written to CSV or JSON files and only a preview returned inline. Every response includes a coverage block comparing row sums to property totals, so the model can see how much of the picture the data actually represents before making recommendations.

Enables agents to freeze the real inputs of a file or JSONL batch, then audit current outputs for missing, duplicate, unexpected, or malformed results and resume from the item IDs that still need repair. Runs locally over stdio with CPU only and no API key.

Enables coverage-driven test generation for RHDH plugin forests by analyzing git diffs and coverage reports, recommending the cheapest test layer, and emitting actionable test briefs, including Playwright MCP prompts for UI gaps.

Drives test coverage toward target thresholds by coordinating workspace test execution with code-tree-mcp uncovered-symbol analysis.

An 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.

Enables coding agents to deterministically audit test files for fake or fragile tests (no assertions, tautological or swallowed assertions, focused/skipped tests, fixed sleeps, real network calls) and to run the project's actual test runner, treating an exit-0 run with zero tests as a failure and flagging changed source files that lack test coverage.

Enables coverage-aware Apple Health metrics, distinguishing observed values from placeholders and providing day-level coverage and trend tools.

An automated testing MCP server that converts test cases into a fixed JSON format, runs them case-by-case, and provides a visual report with review support for cases that cannot be automatically judged.

A basic MCP server built with the FastMCP framework that provides fundamental mathematical operations like addition, subtraction, multiplication, and division. It serves as a demonstration for integrating math-based tools into MCP-compatible environments like Cursor IDE.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A minimal MCP server template for testing and development, providing example implementations with fastmcp and Python.

MCP server for deterministic local test execution and normalized test result reporting, supporting pytest and Jest with coverage summaries.

MCP server that performs mutation testing and diff scoping to score how trustworthy tests are for detecting regressions in changed code.

Exposes enterprise tools to third-party AI agents through a single guard that authorizes each call against default-deny, purpose-scoped entitlements, executes it, and writes a hash-chained, tamper-evident decision trace the firm owns. It also verifies signed vendor webhooks and enforces a strict versioned contract, so agent activity stays scoped, auditable, and portable across vendors.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables interaction with the AnyAnyGame Turing test service via HTTP and WebSocket, exposing tools for auth, matching, messaging, and meme search.

Enables testing real-time MCP notifications that appear as VS Code popups, demonstrating standalone log messages.

Enables voice-controlled Instagram account management from the Mac notch, including reading insights, comments, DMs, and publishing photos or carousels via natural language, with scheduled publishing and secure photo handling.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Generates structured prompts for Claude Code to create comprehensive Terraform test cases including unit, integration, and mock tests.

Lets AI agents ask which tests a Playwright or Vitest project contains, which are skipped and why, by reading the test source files statically. Nothing is executed, written, or sent over the network, and answers come back as paged JSON with summaries, filters, and scan diagnostics.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Enables AI coding agents to run Foundry tests and builds and receive compact, structured failure reports with decoded reasons, fuzz counterexamples or invariant call sequences, logs, and short traces. It also distinguishes genuine test failures from cases where tests did not run, returning actionable errors instead of false zero-failure results.

An MCP server that lets AI agents run PHP unit and integration tests inside Docker containers without local PHP or Composer.

Gives AI assistants structured access to a test automation stack so they can run suites, inspect failure details and captured output, look up test data, and file Jira bugs (or drafts) only for confirmed defects. It works with any framework that emits JUnit XML, letting assistants triage flaky, environment, and test-data issues alongside real product defects.