"Wolfram Language" matching MCP servers:

Enables Claude Code and Claude Desktop to command the jev-ultrafast browser agent in your real Chrome, autonomously pursuing plain-language goals on a given start URL while enforcing a domain-bound safeguard.

Enables coding agents to assess Terraform plans with blastcheck, producing machine-readable Impact Manifests and plain-language explanations of change risks.

MCP server for WeChat Mini Program debugging and automation, enabling agents to perform UI operations, screenshots, and regression testing through natural language commands.

Enables agents to delegate browser exploration to Jev by providing natural-language objectives, receiving compact evidence and source context, and continuing the same live browser session through supervisor handoffs.

Agent-native hosting: your agent deploys any folder to a live URL in one command — no account, no dashboard, no CAPTCHA — and hands the human a link plus a plain-language summary. Full deploy lifecycle as MCP tools (deploy, verify, logs, inspect, rollback), production approval human-only; static sites and full Node.js apps, open source (Apache-2.0).

MCP server exposing 570 config-driven dev tools across plan, develop, QA, feedback automation, and deploy stages, with meta-tools for searching and running them via natural language.

A local MCP proxy that connects AI clients to nomos system controllers, allowing registration and switching between them via natural language. Enables smart home control through MCP-compatible AI clients.

A lightweight, zero-dependency Python MCP server that exposes a single do_everything tool. Any AI agent that supports MCP can use it to offload all language-model work to a local OpenAI-compatible endpoint, reducing cost on the agent's primary LLM.

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

Enables Large Language Models to play chess agentically with real-time HTML board visualization and a hybrid AI engine featuring ten difficulty levels. It supports interactive games between users and agents, including a web dashboard to monitor active matches.

Connects AI assistants to the ADAS platform, enabling them to build, validate, and deploy multi-agent systems through natural language commands without manual configuration.

MCP server for Decixa that helps AI agents find and resolve APIs for tasks using natural language intents, with support for budget and latency filtering.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

Enables running plain-language browser steps, with Jev selecting the correct control on each page and the server handling clicks, waits, and shared Chrome sessions.

mcp-server-couchbase

Connects AI assistants to Warpmetrics telemetry data to monitor AI agent performance, execution runs, and LLM costs. It allows users to query success rates, latency, and spend metrics directly through natural language interfaces.

Enables AI agents to create, execute, and analyze workflows on a Conductor instance through natural language.

Enables cloud browser automation using Browserbase and Stagehand to interact with web pages, extract data, take screenshots, and perform automated actions with AI-powered natural language commands.

Enables coding agents to drive a real Chrome browser to complete natural-language web tasks and return evidence for verification.

Agent marketplace with human concierge. Submit service requests in natural language, get quoted in sats, pay via Lightning Network. 3 MCP tools: submit_request, check_status, list_services.