"Understanding and Using JSON" matching MCP servers:

A Model Context Protocol server that allows creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.

A read-only MCP server for the Cisco Meraki Dashboard API that exposes 50 GET endpoints for understanding network topology from organization down to individual devices and ports.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables read-only AWS cost exploration, forecasting, and anomaly detection through natural language using user-connected IAM credentials.

Next.js-based MCP server using mcp-handler for Vercel deployment, supporting SSE transport and Redis integration.

Enables secure, read-only access to Amazon Redshift data warehouses for AI assistants, allowing schema inspection, query execution, and data understanding.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

Enables managing Vercel projects, deployments, build logs, domains, and environment variables through natural language in Microsoft Copilot Studio, using streamable HTTP with API key authentication.

Template repository for building a WebAssembly component MCP server using wasmCloud.

Enables AI assistants to interact with MAAS (Metal as a Service) infrastructure for machine management, network configuration, and storage management through a standardized JSON-RPC 2.0 interface.

Enables large language models to retrieve user geolocation data using EdgeOne Pages Functions. It provides a dedicated tool to fetch location information in JSON format through the Model Context Protocol.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Provider-agnostic MCP server for managing heterogeneous infrastructure (SSH, Proxmox VE, Virtualizor, Hetzner Cloud, Cloudflare) via a JSON inventory, exposing tools for VM/container management, DNS, firewalls, and SSH operations.

Enables AI agents to deploy production APIs from JSON schemas, with 44 tools for managing projects, schemas, deployments, and graph data.

Enables deploying stateless MCP servers on Appwrite Functions, supporting custom tools with JSON-RPC over HTTPS.

Enables AI models to retrieve user geolocation information using EdgeOne Pages Functions through the Model Context Protocol, providing location data in JSON format for context-aware applications.

Enables spawning ephemeral Model Context Protocol (MCP) servers on Kubernetes using Server-Sent Events (SSE), supporting multiple runtimes.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.