"Proof-of-concept examples for Multi-Component Processes (MCPs)" matching MCP servers:

A flexible proxy server that aggregates multiple backend MCP servers into a single interface using STDIO or SSE transports. It supports dynamic server management via an HTTP API and utilizes namespacing to prevent tool conflicts across connected services.

MCP server for managing multiple SSH servers via AI assistants, offering tools for remote command execution, file operations, and system monitoring.

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

MIT ABS sister MCP — same five tools, citations. Pair with the ausdata gateway for joins and Embed.

One-call Australian economic data plumbing via the RBA — cited responses for rates and macro series, not a data broker.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.

Serves multiple MCP servers from a single PyPI package using subcommands for server selection and optional extras for on-demand dependencies. Demonstrates alpha and beta server variants with different tool sets.

Enables exposing custom tools such as dice rolling and integer addition as MCP servers over stdio and HTTP transports.

MCP server exposing Massive.com's REST Stocks API for querying stock market data via Claude Desktop/Code.

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

MCP server exposing qbit_manage's Web API as tools, so an LLM can read and manage a qbit_manage instance: run maintenance commands on qBittorrent torrents, manage config files, scheduler, logs, security settings, and system state.

MCP server that exposes Mylar3's HTTP API as tools, letting an LLM read and manage a comic library including watchlist, wanted issues, upcoming, history, logs, story arcs, and providers.

MCP server exposing autobrr's full API as tools, enabling LLMs to read and manage filters, indexers, feeds, clients, actions, releases, and system config. It wraps approximately 104 endpoints into 13 resource-scoped tools for comprehensive autobrr instance management.

MCP server that exposes Cleanuparr's REST API for inspecting status, history, statistics, jobs, and configuration, enabling natural language interaction with Cleanuparr.