"Information on memory" matching MCP servers:

Enables LLMs to securely query and optionally write to ServiceNow instances with strict allowlist/denylist safety controls.

An MCP server that enables LLMs to search, fetch, and act on Google Workspace (Drive, Gmail, Docs, Sheets, etc.) with rich, one-call results and file deposits to disk, reducing context usage.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

A Model Context Protocol server that enables interaction with Helm charts on Artifacthub, providing tools for retrieving chart information, default values, and templates through natural language queries.

An MCP server that allows searching for and retrieving information about Model Context Protocol servers registered on the MCP Hub.

A server that enables Model Context Protocol (MCP) functionality on Cloudflare Workers with OAuth login, allowing applications like Claude Desktop to access custom tools through a standardized interface.

Enables middleware management, information checking, backups, and node-level operations for the MegaCloud API.

Query and interact with kubernetes environments monitored by Metoro. Look at APM, metrics, traces, profiling information with LLMs.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

An MCP server that enables AI models to access user geolocation information through EdgeOne Pages Functions.

A local MCP server that integrates with Claude Desktop, enabling RAG capabilities to provide Claude with up-to-date private information from custom LlamaCloud indices.

这是一个基于 ALAPI 的 MCP (Model Control Protocol) 服务器实现，可以通过MCP协议直接调用ALAPI的接口

Enables deploying and connecting to MCP servers on Cloudflare Workers with OAuth login, allowing remote access to tools via MCP clients like Claude Desktop.

Lightweight MCP server that allows agents to interface with the Neon REST API, deployed on Cloudflare Workers.

A FastMCP-based server that provides tools for retrieving animal species lists and specific animal details from a fictional zoo. It serves as a reference for deploying and securing Model Context Protocol servers on Google Cloud Run.

Enables mathematical operations such as addition, subtraction, multiplication, and division through natural language, deployed on Google Kubernetes Engine with secure and scalable infrastructure.

Enables management of GCP resources and integration with AI development tools via a stateless MCP server hosted on Cloud Run.

Enables AI clients to interact with Letta.ai's stateful agents via cloud deployment on Railway. Provides 20+ tools for agent management, conversations, memory operations, and tool configuration through a streamable HTTP transport optimized for production use.

Enables deployment of an MCP server on Cloudflare Workers with OAuth login, allowing remote invocation of tools like math operations from MCP clients.

Model Context Protocol (MCP) Server for the mcp API.