Application to test your MCP servers. Register, manage and test all in one place.
Provides tools to analyze test failures, cluster similar failures, and detect flaky tests from input or log files, helping QA teams debug and triage issues.
Enables automated testing and coverage reporting for MCP services with test execution, file generation, and mock service creation. Provides comprehensive testing infrastructure including Jest integration, coverage reports, and health checks for the MCP ecosystem.
The testing library you need to test your MCP servers
This is a web-based application for testing MCP servers. It was designed to demonstrate a MCP client capable of running in a typical web hosting environment.
A minimal MCP server for validating connectivity to World Monitor, exposing tools for latest events, active alerts, country risk, and top incidents.
A Python MCP server that provides a tool called addNumbers for mathematical operations.
Red Hat Openshift test for MCP server
Test repository for GitHub MCP server validation
Testing mcp server via apim
A Flask-based MCP server designed for testing deployment on Google App Engine. Provides a deeplink checking endpoint that accepts flattened JSON parameters and forwards them as nested objects to external APIs.
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.
A minimal MCP server that provides current time information with configurable timezone support set on the client side.
A TypeScript server that provides time-related tools through the Model Context Protocol, allowing users to get current time in various timezones and convert times between different IANA timezones.
Provides comprehensive time manipulation capabilities including timezone conversions, date arithmetic, business day calculations, duration calculations, and recurring event handling. Enables natural language time queries with high performance and intelligent caching.
API de gerenciamento de tarefas via WebSocket com execução modular de comandos e suporte a ferramentas, desenvolvida em TypeScript com banco SQLite. Projetada para integração com agentes de inteligência artificial.
Bridges MCP tool calls with OpenAI-compatible HTTP endpoints, allowing MCP clients to forward chat completion requests through a unified FastAPI server that returns responses with MCP-specific headers.
CLI for adding/removing MCP servers in predefined groups to claude, cursor, or wherever you like
A modular, extensible MCP multi-server hub that gives LLMs sandboxed file access, Git operations, web fetching, and persistent memory, deployable via Ansible.
A drop-in MCP proxy that aggregates multiple backend servers into two meta-tools for efficient tool discovery and execution. It enables AI clients to access hundreds of tools while minimizing context window usage through searchable indexing.






