"author:78" matching MCP servers:

Enables AI agents to author and manage workflows, agents, tools, skills, policies, and reference docs in an Axonity tenant via the public REST API, with guardrails preventing direct publishing and secret exposure.

A production-grade MCP server providing an autonomous AI agent swarm, persistent semantic memory, browser automation, multi-model reasoning, and 78+ tools for AI-first testing and development.

A Model Context Protocol server template that enables running and experimenting with stdio and HTTP transports, and simulating AI agent interactions with custom tools such as deploys, git checks, API references, and status queries.

Deterministic execution engine for AI agents. 412 modules across 78 categories including browser automation, file I/O, Docker, data parsing, crypto, and scheduling. Supports STDIO and Streamable HTTP transport with execution trace, evidence snapshots, and replay from any step.

Connects to an already-running Chrome/Chromium instance over CDP and exposes 75 browser-automation tools over newline-delimited MCP JSON-RPC on stdin/stdout, covering navigation, forms, keyboard/mouse input, screenshots, cookies, storage, tabs and frames, assertions, and retry/batch/step composition. It does not launch a browser itself, requiring a localhost debugging port on the existing instance.

A unified gateway and web dashboard that aggregates multiple MCP servers into a single Streamable HTTP endpoint. It supports stdio, SSE, and HTTP protocols, featuring optimized tool exposure modes to reduce token consumption for AI clients.

Enables a ChatGPT dot and Claude Code session to exchange requests and replies through a shared HTTPS mailbox, with claim-and-reply handling via a Monitor hook or native channel.

A stateless MCP server sample for the 2026-07-28 protocol, deployable to Amazon Bedrock AgentCore Runtime and probed via SigV4-signed requests.

An MCP server that enables AI coding agents to take over a real, already-logged-in Chrome via CDP, with port lease, watchdog, and state-machine governance for concurrency and stability.

Enables any MCP-capable AI client to drive the user's own Chrome or Edge browser through a set of browse_* tools — navigating, clicking, typing, extracting, and managing tabs with their existing logins on their own machine. Runs locally and self-hosted with a live viewport and pause/approve controls so every verified step stays under user watch.

A protocol interface that extends AI capabilities by enabling models to interact with external systems for calculations, email operations, knowledge search, and more.

Provides policy-driven runtime authorization and security evaluation for MCP-based agents, including MCP streaming HTTP gateway, mock MCP servers, deterministic agent demos, and audited tool invocation with redacted PostgreSQL audit chains.