Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

Read-only catalog of prompt packs and rule files: Cursor, CLAUDE.md, AGENTS.md, SKILL.md.

Enables MCP-compatible clients to send prompts or conversations to Chinese LLM models, list available models with pricing, and compare responses from multiple models through an OpenAI-compatible API.

Enables checking whether a crypto link is a phishing lookalike of a wallet, exchange or dapp by comparing it against official domains and flagging lookalike characters, typosquats, punycode and bait words, fully offline. An optional paid full check adds domain registration age, DNS, redirect tracing and a page scan for seed-phrase prompts and drainer code.

Discover Kavel's AI photo/video generators, get tuned prompts, and open the right tool on kavel.ai.

Plan AI video shots: model picks, sourced prompts, prompting guides and real $/s costs.

Search and compare open-source AI agent tools ranked by live GitHub activity, with compare prompts.

Search and fetch vibe-coding Agent Skills (SKILL.md files) and prompts from TheSkillVault library.

Enables agents to generate, refine, save, validate, and read sanitized SVG assets from text prompts through a local OpenAI-compatible model, with tools for listing and managing SVG files.

Enables MCP hosts to spawn, supervise, and collect results from parallel panels of pinned-model OpenCode v2 agents for delegated tasks, reviews, and cross-model comparisons. Supports per-member roles, models, permissions, follow-up prompts, cancellation, and persisted result retrieval.

Exposes a single ask_warriorgpt tool that lets Claude Code delegate self-contained code generation prompts to Wayne State's hosted model API, passing files to and from disk so the content never counts against the Claude plan. It validates multi-file edits before writing and logs per-session token usage, keeping design and debugging work with Claude.

Enables AI clients to drive local video editing projects through a CEP bridge, covering media ingest, sequence and timeline editing, effects, keyframes, captions, markers, audio, color, and exports across hundreds of discoverable tools. Ships context resources, guided prompts, and higher-level assembly workflows for agent-driven editing.

Enables Claude or any MCP client to use the Google Gemini web app through a real Chrome browser with a normal Google account and no API key, including sending prompts, managing chats, uploading files, downloading results, and inspecting or interacting with pages via accessibility roles.

This MCP server enables AI agents and teams to coordinate through shared inboxes, threaded conversations, attachments, expiring file reservations, prompts, and live notifications, while replaying missed events after restarts.

The fastest developer workflow for every AI coding agent. Live status, quick prompts, worktrees, and diff review from one tmux TUI. Discord: discord.gg/ecS88An7pF

Enables AI agents and LLMs to persist facts, preferences, and observations in a local SQLite store and to build and traverse subject-predicate-object knowledge graphs across sessions. It provides fuzzy keyword search and graph queries so assistants retain context and recall prior project history without repeating prompts.

Enables AI chat backends to fetch public webpages and obtain cleaned readable text, Markdown, article content, metadata, and summary-ready prompts through MCP tools.

MCP server for Qut Pay (qut.kz): create Kaspi QR / Kaspi link invoices for Kazakhstan merchants, check status, list, cancel, refund (live needs confirm) and simulate payments in sandbox. 9 tools, 5 doc resources, 2 prompts. npm: npx -y @qutpay/mcp with QUTPAY_API_KEY. Source in examples/mcp. Independent service, not affiliated with Kaspi Bank.

Enables building zero-dependency Model Context Protocol servers over the Streamable HTTP transport, exposing typed tools, resources and URI templates, prompts, background tasks, and OAuth-protected endpoints. It can be mounted into FastAPI, Starlette, Flask, Django or any ASGI/WSGI app, or run standalone on the Python standard library alone.

Enables any agent to search skill packs with bounded results, fetch one full validated skill on demand, and act without copying directories into prompts.

Enables agents and applications to detect, inspect, and neutralize prompt injection, jailbreak attempts, and hidden instruction escapes in untrusted text before it is passed into prompts.

Enables MCP clients to perform basic arithmetic, send demo log messages, read static and personalized greeting resources, generate greeting prompts, and receive autocompletion suggestions over Streamable HTTP.

Enables clients to look up failure modes and corresponding procedures, search and retrieve entries, and build prompts or reviews through structured tools over stdio JSON-RPC.

AI visibility for your brand: scores, competitors, prompts, site health and articles.