"Accessing or using a remote MCP server endpoint" matching MCP servers:

Open-source MCP and LLM gateway that aggregates MCP tools behind a unified endpoint with governance, observability, and explicit execution controls.

Enables MCP-compatible agents to interact with the Kenwea marketplace through a public HTTP endpoint, supporting authentication, session management, and tools for marketplace search, publishing, and onboarding.

Bridges MCP clients that require stdio to a running pREST HTTP MCP endpoint, enabling database interaction via natural language.

Provides structured, tool-based access to a Honeybadger account's API, enabling users to browse projects, inspect faults and notices, work with dashboards, alarms, and check-ins, and retrieve reference documentation such as BadgerQL. Runs in read-only mode by default, with optional write and delete operations, and can connect either through the hosted OAuth endpoint or a self-hosted stdio/Docker deployment.

Enables ChatGPT to securely control remote development servers over OAuth-protected MCP, exposing workspace-bounded tools for file editing, command execution, Git operations, and running Codex or GitHub Copilot subagents.

Enables running local MCP servers on machines behind NAT and accessing their tools from anywhere through a single Streamable HTTP endpoint, without opening any inbound ports.

A lightweight, zero-agent SSH operations tool that enables remote command execution, file transfer, and audit logging. It integrates as an MCP server for AI-driven infrastructure management.

Perform DNS lookups, WHOIS queries, connectivity testing, TLS certificate analysis, HTTP endpoint monitoring, and hostname resolution, all from your trusty AI.

self-hosted development harness (Go engine + CLI + desktop, Linux first) · brief → requirements → spec → plan → build → review → release · verdicts are exit codes, never model opinions · local models first (llama.cpp, vLLM) beside any OpenAI-compatible or Anthropic endpoint · operable by humans or by other agents over MCP with recorded, attributed decisions

A Go-based MCP server that provides comprehensive access to the Serper Google Search API, including tools for images, news, maps, and scholar results. It also features a dedicated endpoint for scraping webpage content directly.

Generate an MCP server for any OpenAPI documented endpoint.

Telegram API integration for accessing user data, managing dialogs (chats, channels, groups), retrieving messages, and handling read status.

Turn any GraphQL endpoint into a set of MCP tools

Provides comprehensive access to the New Relic observability platform through 55 MCP tools, enabling APM, infrastructure, logs, traces, alerts, dashboards, synthetics, workflows, notifications, service levels, tags, entities, and workloads via a single GraphQL endpoint.

A gateway service that connects AI assistants to numerous external tools like Notion, GitHub, and Google Workspace through a single Model Context Protocol endpoint. It provides a centralized hub for managing multiple tool integrations with secure authentication and a unified API architecture.

Gives AI coding agents a shared local SonarQube instance plus a SonarQube MCP endpoint per machine, so multiple clients can run scans, wait on quality gates, and read metrics and issues for the auto-detected project in a workspace. Tools also accept an optional server argument to query configured remote SonarQube servers (such as a company CI server) alongside the local one.

Enables AI agents to search and retrieve academic literature from Web of Science and CNKI, with support for institutional login/SSO. Can be deployed locally on Windows or as a remote Linux server.

A secure and pluggable MCP server to run terminal commands on your local machine or cloud server — remotely, safely, and with LLMs or agentic clients.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.