"Understanding HTTP Requests" matching MCP servers:

Bridges stdio Model Context Protocol (MCP) servers to MCP Streamable HTTP behind a single gateway, enabling multi-tenant, multi-user deployment with per-tenant environment variables via HTTP headers.

A broker that queues agent requests (plans, questions, FYIs) and batches them by urgency into proposed meetings, leaving actual calendar booking to an attached calendar MCP.

A lightweight stdio-only MCP server that allows AI agents to run multiple tasks (e.g., Python code, HTTP requests, shell commands) in parallel or with dependencies, returning structured results in a single call.

MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.

MCP server that routes AI chat requests to the best available provider (Anthropic, OpenAI, Groq, etc.) with automatic fallback, budget caps, and model-tier routing.

Orchestrates Claude Code and OpenAI Codex to plan, implement, review, and verify code changes via pull requests with security controls.

Enables AI agents to route HTTP requests through millions of real residential IPs, bypassing anti-bot systems and geo-targeting by country or city.

Enables agent-to-agent discovery and delegation via MCP, with tools for registering agents, discovering them by keyword matching, and delegating tasks over HTTP.

A git-backed MCP server that centrally manages AI agent skills, tools, and knowledge with role-based access, change requests, and a remote OAuth 2.1 endpoint.

Routes model requests to Sol, Terra, or Luna via OpenClaw Gateway's Codex auth profile, with strict validation and no fallback.

Unified AI gateway that aggregates MCP tools from multiple servers and routes LLM requests with provider combos and fallback, all managed through a web UI.

A distributed MCP server framework enabling scalable task execution across multiple nodes with streamable HTTP transport, integrated authentication, and real-time streaming via the Asgard infrastructure.

Enables agents to self-provision tenancies via a single tool call and then publish, list, inspect, call, and remove their own echo, HTTP, and Python tools at runtime, with per-tenant namespaces, stateless streamable-HTTP transport, and admin metering.

Proxies STDIO-based MCP clients to streaming HTTP MCP servers, enabling local clients to connect to remote servers.

A monorepo MCP server that aggregates multiple sub-servers under a single HTTP endpoint, routing by path, and supports static skills registry with Cloudflare deployment.

Wraps Tool and ToolPackage instances from the llm-chat ecosystem behind the Model Context Protocol, enabling stdio and Streamable HTTP transports for MCP servers.

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 local workspace management and status checks through MCP tools over an HTTP endpoint, allowing DeepSeek Harness to interact with the platform.

Enables external AI applications to access MCP tools by providing a user-hosted HTTPS endpoint that forwards requests to a paired desktop client.

Aggregates multiple MCP servers into a single Streamable HTTP endpoint, compressing tools to manage registration limits.