"Payload CMS" matching MCP servers:

Enables AI assistants to interact with a Qdrant vector database by exposing collection, point, vector, payload, snapshot, search, recommendation, discovery, and observability operations as MCP tools.

Enables AI assistants to interact with Strapi CMS instances through REST API operations. Supports content management, media uploads, schema introspection, and multiple server configurations with JWT authentication.

Enables AI agents to discover the sites on a connected account and read their CMS collections and live content items, such as blog posts, products, or team members. Runs either as a local stdio server or through the Pipeworx gateway, with plain-English questions routed to the right tool.

Enables AI agents to compress retrieved web documents against a query, pruning irrelevant noise so only the most relevant context reaches the model. It runs as a zero-dependency Python MCP server that accepts a query payload and returns structured, scored output.

Enables AI assistants to perform campervan electrical calculations, payload checks, component spec lookups, and semantic search over van build manuals.

MCP server that gives AI agents human-like persistent memory, with auto-encoding, proactive recall, and memory rooms for cross-agent context.

A Model Context Protocol server that enables Claude to help developers implement SMS and MMS messaging features in web and mobile applications through direct integration with BaaS API services.

A local MCP server enabling hybrid search over documents, memory, and knowledge graphs for retrieval-augmented generation, with tools for SQLite, semantic memory, and entity-relationship queries.

Enables interaction with the Innovaas Knowledge Management System through MCP, providing multi-modal search, RAG-powered chat with intelligent token management, and document access.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

Enables natural-language semantic search over a fully local knowledge base, keeping embeddings, storage, and retrieval on the machine.

An MCP server that allows Microsoft Copilot Studio to fetch random jokes from three sources: Chuck Norris jokes, Dad jokes, and Yo Mama jokes.

Exposes twelve annotated tools over stdio JSON-RPC that let an MCP client search an HR policy corpus and query mock employee records, PTO, benefits, travel history, and ticketing data. This enables grounded, citation-backed answers to HR policy and operations questions that require combining written rules with a specific employee's data.

A full-stack SMS assistant that integrates MessageMedia SMS API with OpenAI's GPT models, enabling AI-driven SMS conversations and message management through function calling and contextual memory.

Exposes the Integrated Memory System (IMS) capabilities, including session management, memory storage, and RAG-based context search, via the Model Context Protocol. It allows MCP-aware clients to interact with IMS backends to maintain long-term memory and context across sessions.

Enables AI agents to automate and navigate Naver SmartStore administration by providing screen and selector maps, Talk CS handling, three-step safety approvals, official help-document RAG, and search ad keyword tools.