"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.

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.

Enables generating capacity-safe, risk-weighted scan schedules, identifying coverage blind spots, and comparing sealed scan plans.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Test coverage intelligence MCP server for TypeScript and JavaScript projects. Analyzes coverage reports to find untested functions, computes cyclomatic complexity, and suggests test cases locally.

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

A minimal test MCP server built with TypeScript, demonstrating basic Model Context Protocol capabilities like tools, resources, and prompts.

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.

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

A TypeScript-based test implementation for the Model Context Protocol (MCP) with example configurations and Jest test cases. Provides a development foundation for building and testing MCP server functionality.

Enables interaction with SAP Integration Suite for designing, creating, and managing integration artifacts including integration flows, message mappings, packages, and B2B trading partner relationships through AI-powered natural language commands.

Checks whether release notes cover the feature changes, fixes, and known issues provided by the user.

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.

Enables management of TestMu AI test projects, test cases, test runs, and integration with Jira, HyperExecute, and AI insights through natural language.

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.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

Enables Claude to generate executable test cases from decision tables in CSV, JSON, or Markdown formats. Provides intelligent test planning guidance and generates Playwright/API test code with TypeScript support.

MCP server for IFS Cloud PL/SQL unit testing, enabling check of testability, generation of unit tests, and orchestration of deploy/run steps via ifs-f1-codegen-dev.

Enables read-only monitoring, failed-message analysis, health summarization, and AI-assisted troubleshooting against SAP Cloud Integration tenants through MCP-compatible clients.

Self-healing test automation MCP server that diagnoses and fixes issues in mobile and web apps, including a one-command vibe-check to prioritize broken functionality.

Facilitates unified execution and result parsing for various testing frameworks, including Bats, Pytest, Flutter, Jest, and Go, through a Model Context Protocol interface.

A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables scraping Tokopedia products and performing calculations via an MCP server, with self-hosted or public hosted configuration.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

MCP server for debugging MCP host/client custom header implementation, with a tool to inspect request headers.