"Techniques for Multi-Model Integration" matching MCP servers:

One MCP server that routes to 12+ AI providers for text, image, and video generation, with smart task delegation, web search, and model comparison—all from the terminal.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Enables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.

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.

Provides AI agents with a toolset to query model inventories, trace dependencies, and analyze the impact of changes across machine learning models and data pipelines.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Enables inspecting ONNX models, probing the deployment environment, and benchmarking inference latency and FPS either locally or on remote SSH targets such as Linux workstations and Jetson devices. Benchmark results are validated against FPS, P95 latency and model-size constraints to produce PASS/FAIL deployment gates.

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

Enables MCP clients to delegate tasks to multiple local and cloud AI workers (Codex, Claude Code, DeepSeek, GLM, Gemini) with deterministic routing, concurrent batch execution, idempotent retries, and auditable traces.

Enables multiple AI agents using MCP-compatible clients to collaborate in parallel on the same project across one or more machines, with direct messaging, a shared task board, atomic file/folder locking, presence tracking, and a live web dashboard.

An MCP server that connects any two systems so an agent can explore both, map between them, and run real data transfers — then shows its working in a run folder you can audit afterwards.

Enables ChatGPT to generate images, videos, and scenes through FrameForge, and open the full FrameForge experience, with secure OAuth-based authentication.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

Enables agents to query governed metrics through MCP, including describing metrics, running deterministic SQL against a warehouse, explaining join path preferences, and searching semantically ambiguous terms.

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

Enables MCP-compatible clients to call TokenHub's image generation and editing APIs through natural language, supporting text-to-image, image-to-image, and configurable model and endpoint settings.

Enables an AI assistant to access many named PostgreSQL database connections at once, selecting connections by name or alias and reusing pools for queries, schema inspection, and analysis tools. It supports read-only or unrestricted access modes, live config reloads, and safe result truncation.

A Model Context Protocol (MCP) server for integrating with the SATIM payment gateway system in Algeria, enabling AI assistants to process CIB/Edhahabia card payments through the SATIM-ePAY platform.

Enables read-only monitoring, failed-message analysis, health summarization, and AI-assisted troubleshooting against SAP Cloud Integration tenants through MCP-compatible clients.