"UPS" matching MCP servers:

Enables AI assistants to extract and structure content from documents (PDFs, images, Office files) via Upstage AI's APIs, with seamless Claude Desktop integration.

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Upstash Developer API's.

Enables AI agents to retrieve customer, order, ticket, policy, and agreement information, and to prepare or execute state-changing support actions like escalations and follow-ups with confirmation and access control.

An MCP server that provides dynamic codebase context to Claude Code through tools like hybrid search, recent changes, and symbol definitions, enhancing AI-assisted coding with local RAG.

A Model Context Protocol (MCP) server providing local-first access to Pydantic and Pydantic AI documentation with BM25-powered full-text search.

An MCP server implementation that enables interaction with the Unstructured API, providing tools to list, create, update, and manage sources, destinations, and workflows.

Serves project memory to AI agents, providing task-scoped context, tracked changes, validation evidence, and history to keep modifications grounded in current project facts.

An MCP server with RAG capabilities that provides AI clients secure access to local notes, documents, web pages, and task management tools for developer operational tasks. Features file operations, web scraping with content cleaning, and personal knowledge corpus search functionality.

Enables stdio-capable MCP clients to run governed enterprise operations tasks, including policy/runbook retrieval and ticket and user lookups or writes. High-risk actions are held for human approval and role-based access is enforced server-side, so clients cannot bypass governance.

MCP server providing access to US patent data (2000-2024) via Rememberizer's knowledge retrieval tools, enabling semantic search and document management for patent information.

Wraps n8n with an MCP server and vector storage to enable semantic search, management, and execution of automated workflows. It integrates with other tools to make workflows searchable and orchestratable within a larger automation ecosystem.

Provides up-to-date documentation for AI agents by locally querying a community-driven registry of pre-built docs packages.

A Model Control Protocol server that integrates with Claude Desktop to enable simultaneous querying and cross-checking of responses from multiple LLM providers including OpenAI, Anthropic, Perplexity AI, and Google Gemini.

An MCP server that exposes RAG search, ServiceNow, and observability tools to MCP clients, and proxies curated calls to remote ServiceNow and observability MCP servers.

Enables interaction with the Unstructured API to manage data workflows, including creating and managing source connectors (S3, Azure, Google Drive, etc.), destination connectors (Weaviate, Pinecone, MongoDB, etc.), and workflows for document processing and data pipelines.

MCP server for Nimbus Operations Copilot that enables AI agents to search help docs, customer data, invoices, and tickets, and propose refunds/tickets with human approval for writes.

Translates plain English questions about infrastructure operations into SQL queries, executes them against a database, and returns the real answer.