"AI Model CLI Tools and Orchestration Configuration" matching MCP servers:

Enables AI assistants to see which model IDs each provider's API has started listing since the last check, and to list the models a given provider currently serves with optional substring filtering, all without spending tokens.

A tool that helps manage and synchronize MCP server configurations across different AI assistant clients (Cline, Roo Code, WindSurf, Claude), automating the process of retrieving, listing, adding, and removing server configurations from client configuration files.

Provides AI assistants with structured access to metadata for 76+ AI models across Ollama, Claude, and OpenRouter, enabling capability queries, compatibility checks, model comparisons, and task-based recommendations.

Enables querying AI model lifecycle and deprecation data across OpenAI, Anthropic, Google Gemini, and Amazon Bedrock, including model status, sunset dates, and recommended replacements via MCP tools.

CLI Builder AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

CSV Tools AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Discovers local model runtimes such as Ollama, LM Studio, and LocalAI, and exposes their endpoint metadata to MCP clients like Copilot.

Enables AI coding agents to offload large file reads and boilerplate code generation to cheaper or local worker models through MCP, reducing token consumption and keeping context clean.

Enables querying real-time adoption metrics, trends, and comparisons for popular AI coding tools like OpenAI SDK, Anthropic SDK, Cursor, GitHub Copilot, and LangChain through natural language.

MWS S3 MCP server and Go CLI: browse, preview and restore files in a bucket. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

Cloud.ru S3 MCP server and Go CLI: browse, preview and restore files in a bucket. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

Beget S3 MCP server and Go CLI: browse, preview and restore files in a bucket. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

CLI and stdio MCP server for noticed. Exposes ~50 noticed agent capabilities (network search across GitHub + LinkedIn, missions, PRM, memory, workspace, web search, cron, ...) via two meta-tools — search + execute — to any MCP-aware client (Claude Code, Claude Desktop, Cursor, ChatGPT).

Connects AI clients to over 2,000 models and APIs through the Model Context Protocol, enabling discovery, inspection, and execution of free data APIs and paid model calls via a local bridge with OAuth and rollback.

Enables MCP clients to discover, inspect, and run 2,000+ AI models and data APIs, including search, social, scraping, image, video, and audio tools, through one browser-authorized local bridge. It also surfaces run status, recorded cost, and account balance, and supports rolling back client configuration changes.

Configurable MCP server that lets you define LLM-powered tools via JSON, enabling easy integration of multiple models (GPT, Gemini, Claude, etc.) as MCP tools without writing Python code.

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.

Enables AI clients to connect to 2,000+ AI models and APIs through the Model Context Protocol, with OAuth, discovery, inspection, execution, pricing checks, and rollback.

Routes subagent tasks across Claude and OpenAI lanes by task kind and quota state, deciding whether to spawn a single model, run a duel of both vendors, or run both and ship the merge. It records duels with attested proof-of-run session ids, grades sides blind with one judge per vendor, and tracks per-kind standings and lane pacing.

This server lets MCP clients delegate coding tasks to a locally installed Qwen Code CLI, enabling second opinions, parallel work, and clean separation from the main context.