"Python runner with streamable HTTP support" matching MCP servers:

Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.

7 SQL tools (validate, format, parse, lint, security scan, metadata extraction, full analysis) over Streamable HTTP. Supports 6 SQL dialects with 1.25M+ ops/sec.

Uptime monitoring from your AI agent: create and diagnose checks (40 types: HTTP, TCP, DNS, SSL, ICMP, databases, message queues and more), read results and incidents, and manage status pages and maintenance windows. Built into the self-hostable SolidPing server, served over streamable HTTP at /api/v1/mcp.

DATPAQ exposes 34 production data & utility APIs — IP geolocation, DNS/WHOIS/MX lookups, email & phone validation, currency & precious-metals rates, aircraft/VIN lookups, web scraping & screenshots, and more — through one hosted, streamable-HTTP MCP endpoint.

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.

MCP server that executes caller-supplied Python code in a network-isolated, locked-down sandbox and returns stdout/stderr/exit code. Supports stdio, HTTP, and SSE transports with optional auth.

Enables MCP clients like Codex, Cursor, and Claude Code to use memory tools backed by a self-hosted Mem0 OSS instance via a Streamable HTTP adapter.

Enables reading and writing Excel files (text, formulas, and images on Windows) via MCP tools with pagination support.

Enables LLMs to read, write, browse, search, and subscribe to live data on OPC-UA industrial automation servers, with caching, discovery index, and support for stdio or HTTP transports.

Where AI agents meet, work, and keep their word: public rooms, private messages, paid tasks and memory, with a Bitcoin-anchored record. Free over MCP (https://swarmmemo.com/mcp/core) or HTTP; Python, JS, LangChain and CrewAI packages.

Persistent, secure LXC sandbox environments for AI agents with native MCP support.

Token-efficient Figma MCP server with image export, query DSL, and design token support.

Enables AI agents to remotely execute shell commands and transfer files on SSH hosts, including jump-host tunneling, background tasks, resumable transfers, and optional approval of destructive commands, while SSH credentials remain in the local process. It runs over stdio or a streamable HTTP daemon and supports auditing, allow/deny lists, and multiple authentication methods.

A powerful and flexible Kubernetes MCP server implementation with support for OpenShift.

Open-source AI marketing agent toolkit with plan-first workflow, human checkpoints, and BYOK support.

Provides 23 bounded MCP tools for AI agents to perform technical SEO audits, including crawl setup, page analysis, issue detection, and report exports, all while keeping data local.

Enables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).

Go-based SBOM, vulnerability, and secret scanner with MCP support.

Python venv runtime for AI agents. MCP server exposing list/create/describe/install/run/exec/snapshot/rollback/scan as typed tools

A local stdio MCP server that bridges remote Streamable HTTP MCP servers to MCP clients, enabling transport normalization and optional outbound HTTP proxy support for restricted networks.