"Information about Cisco Systems or related products and services" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Provides systems thinking models as composable analysis lenses for architecture, infrastructure, DevOps, incident analysis, and technical decision-making.

An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.

A production-ready TypeScript MCP (Model Context Protocol) server for Cisco Support APIs with comprehensive security and dual transport support. This extensible server provides access to multiple Cisco Support APIs including Bug Search, Case Management, and End-of-Life information.

Enables LLMs to query the Cisco Commerce Catalog API for product pricing, availability, specifications, service options, and end-of-life information across 21 regional price lists.

Enables product management (add, fetch) through natural language using Claude Desktop and GitHub Copilot.

Enables LLMs to search and retrieve official Cisco network diagram icons as RGB PNG images, with metadata and category listing tools for building topology diagrams.

MCP Server for Git operations, agent templates, and project utilities.

Enables AI-powered network automation through natural language interactions with Cisco NSO, providing access to device management, configuration retrieval, sync operations, and service orchestration via the RESTCONF API.

Exposes Cisco Network Services Orchestrator (NSO) operations and data as MCP tools and resources, enabling AI-powered network automation through natural language. It supports tasks like retrieving device configurations, checking sync status, and managing services via the NSO RESTCONF API.

Turns any verb Registry into a real MCP server, where each verb becomes an MCP tool with its own Zod input/output schemas (zero drift).

Enables consumers, developers, and innovators to browse and filter a catalog of credit, wealth, insurance, and treasury product types, enroll in products, build and publish apps, and create, test, and publish new products through role-scoped tools.

Provides component information, usage guidelines, and code generation for AWS Cloudscape Design System in React, with search and pattern library capabilities.

Runs a local, file-based toolkit of 100 systems engineering skills that lets an AI assistant clean and map requirements, review specifications against ECSS, derive sub-requirements, check interfaces and budgets, and build verification and compliance matrices. It works on documents in a user-chosen local folder without sending customer data to a remote service or requiring an account or API key.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.

Local, read-only MCP server that provides verified access to bounded.tools' signed static API, including the Web-Build Conformance report and SPDX SBOM, with byte-for-byte verification against a Sigstore-signed manifest.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Enables AI agents to interact with Cisco API Gateway pods endpoints for complete pod management including CRUD operations, credential updates, and configuration management through natural language. Supports multiple deployment modes including local Claude Desktop integration and cloud deployment for remote AI agents like Webex Connect.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

This read-only MCP Server allows you to connect to SharePoint Excel Services data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SharePoint Excel Services (https://www.cdata.com/drivers/excelservices/download/mcp).

Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.

Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.

Enables LLMs and MCP clients to discover and use generated CRUD services through MCP tools and resources, exposing actions like create, update, delete, and read-only list/get access alongside REST endpoints.

Enables AI assistants to discover and invoke generated CRUD tools and read-only resources, letting them interact directly with REST-backed services built on Express, Mongoose, or Sequelize.

Enables LLMs and AI assistants to discover and use tools and resources for CRUD operations on generated services, providing direct interaction with the same data exposed by REST endpoints.

Enables LLMs to discover and invoke CRUD tools and read-only resources for generated services, allowing direct interaction with the same data exposed by the REST API.