MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.
A Model Context Protocol server that enables AI assistants to create, issue, and manage digital badges and certificates using natural language.
Enables AI assistants to interact with Istek API Client for managing workspaces, collections, environments, variables, and request history. Allows natural language control of API development workflows including creating collections, adding requests, and managing environment configurations.
An MCP server that enables AI assistants to control iTerm2 sessions, windows, tabs, and profiles using the official iTerm2 Python API. It includes a security model with session tagging and tiered permissions to ensure safe and controlled terminal interactions.
An auto-generated Multi-Agent Conversation Protocol Server that enables interaction with the IX-API (Internet Exchange API) through natural language, allowing for management of interconnection services in data centers.
Enables AI assistants to interact with Jamf Pro for comprehensive Apple device management, including device inventory, policy deployment, configuration profiles, script execution, and compliance reporting.
Durable, agent-native AI runtime with native MCP client and server support. Rust core for performance with Python SDK for workflow authoring. Features graph-based workflows, durable execution, A2A protocol support, and multi-agent coordination.
Integrates Claude with n8n and Supabase to provide semantic memory search, automated workflow orchestration, and multi-platform task creation. It enables persistent interaction storage and autonomous agent capabilities through a production-ready HTTP interface.
Сonnects to live JVMs via JDWP protocol, enabling LLM agents to autonomously debug Java applications — attach to a running process, pause threads, set breakpoints (including conditional), inspect stacks with auto-resolved object fields, evaluate methods, set variable values, and diagnose issues like deadlocks and hung queries.
A multi-functional AI agent with an Arabic legal chatbot, Google search capability, and a VAE model that generates handwritten digit images.
Enables AI assistants to interact with Jenkins CI/CD systems for build management, job monitoring, console log analysis, and debugging through natural language commands.
A TypeScript-based Model Context Protocol server that integrates with Volcengine's Jimeng AI image generation service, allowing users to generate AI images through simple tool calls.
A Model Context Protocol server that enables generating AI images using Volcengine's Jimeng service, supporting features like prompt enhancement, super-resolution, and watermarking.
Integrates Apache JMeter with AI assistants to run and manage load tests through natural language. It enables users to execute test plans, parse results, inspect test structures, and compare performance metrics across different runs.
MCP server for BubblyPhone that lets AI assistants make real phone calls, manage AI voice agents, buy phone numbers in 30+ countries, and track billing. Supports 20 tools for full telephony control.
MCP server for provisioning dedicated real-SIM US phone numbers, receiving inbound SMS, and extracting OTP codes. Built for AI agents automating phone verification workflows.
MCP server for the JouleScope JS220 precision energy analyzer, enabling agents to measure current, voltage, power, charge, and energy via tools like measure_energy.
Enables intelligent workflow automation for JD's FOP platform, supporting PRD analysis, code generation, and flowchart creation with smart retrieval optimization and standardized file naming rules.
A comprehensive utility MCP server that enables AI assistants to execute system commands, manage files, integrate with Google Sheets and Tasks, perform AI-powered text processing, and load dynamic prompts from markdown files.
Deterministic JSON repair, validation, example-generation, and schema-coercion for AI agents — zero LLM calls, sub-10ms, $0.0005 per call.