A customizable Model Context Protocol (MCP) server for AI, automation, and developer tool APIs. Includes dynamic tool loading, multi-language script execution, and remote system integration.

Multi-language testing automation MCP server for Claude Code and AI assistants. Supports Python, JS/TS, Go, Rust, Java, and Ruby with automated test discovery and execution.

Multi Agent Weather MCP Server, understands natural language and outputs touring advice based on weather data.

Multi-language architectural and idiomatic code analysis via CLI and MCP server.

🌍 Multi-language architectural and idiomatic code analysis via MCP server 🔧 and CLI 💻.

Voyagent is an AI travel planner powered by a LangGraph multi-agent pipeline — flight, hotel, itinerary, and report agents — that turns a plain-language trip request into a complete plan. It uses AviationStack for flights, Tavily for hotels, and Groq's Llama for itinerary generation, built on FastAPI with Postgres-backed conversation memory

AI-powered multi-cloud governance tool for Alibaba Cloud, Huawei Cloud & AWS. Natural language queries, idle resource detection, and cost optimization.

A multi-interface (REST and MCP) server for natural language inference

🎙️ Fully-local voice for a whole crew of Claude Code sessions on Windows — multi-session, multi-language, multi-voice, one-command install.

YouTube dubbing MCP server: AI dubbing for Claude, Cursor & Codex with one cloned voice per speaker, synced SRT and YouTube multi-language audio tracks.

Multi-language static analysis for agents, editors, and large repositories.

Lightweight code indexing and exploration powered by Lua, with multi-language symbol extraction, call graphs, and incremental updates.

Open-source multi-speaker video dubbing: transcribe, find who speaks when, translate, and re-voice every speaker with their own cloned voice, with timing fit, ducked background, dubbed MP4, multi-language audio track and SRT/VTT. CLI + MCP server + Agent Skill, voiced by Miragea.

LSP-to-MCP bridge for Claude Code — full language server protocol exposed as MCP tools with symbol-name addressing, multi-target batching, and fallback chains

Multi-backend GGUF vision-language inference engine (moondream3.1 · VideoChat3 · Qwen2.5-VL · MOSS-VL · VideoMAE/ViViT · SmolVLM) with a unified CLI, Web UI and an MCP server for agents.

AMEVA OS: Universal Polyglot WASM & AI Vector MCP Hub. Zero-Install Multi-Language Tool Runtime & Real-Time Dynamic Multi-Repo Subscription Engine.

MCP server for multi-database PostgreSQL analytics. Ask your databases questions in natural language.

A powerful, open-source Model Context Protocol (MCP) server for automated, multi-language code feedback, validation, and project analysis. Designed for developers, teams, and LLM-powered workflows to ensure code quality, correctness, and maintainability across diverse languages and build systems.

A translation server based on MCP architecture, supporting multi-language translation and text-to-speech functionality.

Multi-language code graph memory system for LLMs

MCP-compliant Discord server for AI automation. Integrates tool registry, SQLite persistence, and natural-language command handling for multi-agent systems.

A blazingly fast MCP server for code intelligence - multi-language parsing, semantic search, call graphs, security scanning

Analyze docker logs from local dev setup in a multi container(0 -15) set up using natural language

MCP server to configure OpenDeck (open-source Stream Deck software) with natural language: keys, profiles, multi-actions, app switching, plugins — staged, previewed, backed up

Multi-engine search and deep research for AI agents across 300+ sources, 18 languages, and MCP / CLI.

Multi-language repository map for agents and humans: MCP tools, dependency graphs, symbol indexes, impact review, and bounded source evidence.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Agent-facing MCP infrastructure for automated Rust migration of multi-language programs and dependency ecosystems, including large systems and frameworks. Early prototype.

【Star-crossed coders unite!⭐️】Model Context Protocol (MCP) server implementation providing Google News search capabilities via SerpAPI, with automatic news categorization and multi-language support.

A Retrieval-Augmented Generation (RAG) Model-Controller-Provider (MCP) server designed to assist AI agents and developers in understanding and navigating codebases.. It supports incremental indexing and multi-language parsing, enabling LLMs to understand and interact with code.

Text-to-speech MCP server — 48 voices, 9 languages, 5 presets, emotion spans, SSML-lite, multi-speaker dialogue, SFX tags, and built-in guardrails.

MCP server giving Claude Code CLI direct control over Ansys engineering simulations — CFD, FEA, meshing, and post-processing via PyAnsys. 24 tools. Multi-language docs.

【Every star you give feeds a hungry developer's motivation!⭐️】A Model Context Protocol (MCP) server implementation that provides Google Jobs search capabilities via SerpAPI integration. Features multi-language support, comprehensive search parameters, and smart error handling.

Production-ready emissions analytics platform combining EDGAR v2024 datasets, Model Context Protocol (MCP) integration, and LLM-powered natural language queries. Analyze multi-sector greenhouse gas data with geographic granularity from cities to countries, 2000-2024.

Chat with a headless Claude Code CLI from a private Discord channel. No extra API key, no extra billing. Windows/macOS auto-start, MCP server included, multi-language docs (EN/繁中/日本語).

Shared workspace for AI agents and human developers. See, audit, and review every change AI makes to your codebase. Multi-language graph (Python/TypeScript), MCP-native, local-first.

The MCP tool can then be used inside VS Code / MCP-enabled clients to search local internal documentation using natural language. Uses persistent embedding using minilm-l6-v2, supports multi format embedding and semantic retrieval .

Multi-forge git repository organiser & MCP server for AI coding agents. Clones & structures repos from GitHub, GitLab, Gitea, Forgejo, Codeberg & Bitbucket by visibility & language, with fast cross-repo code & symbol search, worktree tooling, and TUI graph.

Keyless YouTube MCP server + research skill for AI agents: multi-language search with transcript highlights, transcript ranges, real video frames, comments and channel outliers. Claude Code & Codex plugin.

Proof-carrying project memory with multi-language graphs, session receipts, exact recovery, relevant cited recall, provider usage accounting, and optional client-encrypted shared knowledge.

Token-efficient MCP server giving Claude scoped read/write/search access to your local filesystem — chunked reads, dry-run edits, and multi-language code structure search, with segment-aware path validation.

MCP Relational AI Gateway 🚀 An elegant, multi-LLM database assistant & dashboard powered by Model Context Protocol (MCP). Interact with MS SQL Server and PostgreSQL databases using natural language, visualize data with drag-to-zoom interactive charts, and switch seamlessly between Google Gemini, Anthropic Claude

Official XPayr Model Context Protocol (MCP) Server (@xpayr/mcp-server & xpayr-mcp), OpenAPI 3.1.0 Actions, n8n Workflows, and Multi-Language SDK Suite for Non-Custodial Crypto Payments & AI Agent Commerce.

An AI-powered business analytics platform combining a custom MCP server, multi-provider LLM agents, and real-time inventory dashboards. Ask natural-language questions about sales, products, customers, and stock using tool-driven AI workflows.

Comprehensive UX analysis platform powered by Google Gemini AI. Captures multi-viewport screenshots, identifies accessibility issues, detects AI design anti-patterns, and generates ready-to-implement code fixes. Available as web dashboard, CLI tool, and natural language interface via MCP.

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.

Wwise-MCP is a Model Context Protocol (MCP) server that enables large language models (LLMs) to interact with the Wwise Authoring application. It exposes a set of tools built on a custom Python WAAPI library, allowing MCP clients such as Claude or Cursor to automate and compose complex, multi-step Wwise workflows.

MCP server bridging LLMs to LSP servers for structured code intelligence — definitions, references, call/type hierarchies, hover, symbols, diagnostics. Multi-session shared daemon with refcounted LSP server instances. Starts with C/C++ via clangd, extensible to any language.

Multi-language code parser (Python, Rust, JS/TS, Go, Java, C/C++) that extracts dependency graphs and stores them locally in SQLite. Provides three access methods: CLI for direct queries, REST API for programmatic use, and MCP server for IDE integration with Claude or Cursor.

Voyagent is an AI travel planner powered by a LangGraph multi-agent pipeline - flight, hotel, itinerary and report agents that turns a plain-language trip request into a complete plan. It uses AviationStack for flights, Tavily for hotels, and Groq's Llama for itinerary generation, built on FastAPI with Postgres-backed conversation memory

Direct video edits inside CapCut using plain conversational language. Connects AI coding agents (Antigravity, Claude, Cursor) to CapCut AI Lab with automated timeline assembly, multi-track audio, and zero-dependency media uploading.

vikunja-mcp is a Model Context Protocol (MCP) server for Vikunja. It lets any MCP-compatible client — Claude Desktop, opencode, etc. — read and manage your Vikunja instance through natural language. Supports stdio and streamable HTTP, runs hardened as a non-root container, and ships as a multi-arch (amd64 + arm64) image on GHCR.

Code intelligence platform for AI agents. Search symbols, trace dependencies, measure blast radius, and navigate codebases through MCP tools — returning exactly the code your agent needs at a fraction of the token cost. Supports 30+ languages, hybrid search, third-party library indexing, multi-repo workspaces, and a live web dashboard.

High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d

XploitEye is a state-of-the-art, AI-powered multi-agent cybersecurity platform designed to automate the complete Cyber Kill Chain. By orchestrating advanced Large Language Models (LLMs) and industry-standard security tools, XploitEye provides a unified interface for both Red Team (Offensive) and Blue Team (Defensive) operations.

An AI copilot and MCP server for Blender that turns plain-language briefs into scene operations—inside a visual chat studio with multi-agent teams, your choice of AI models, and 27 built-in scene tools. · blender-ai-copilot-studio · blender ai · ai for blender · blender copilot · blender ai copilot · blender ai assistant · blender mcp server

Blender AI MCP Studio is an AI assistant and built-in Model Context Protocol MCP server for Blender that turns plain-language briefs into inspected, approved and reversible 3D scene operations — with a visual chat workspace, multi-agent teams and your choice of AI models. · blender ai mcp studio · mcp-for-blender · mcp for blender pro

Blender AI MCP Suite is an AI assistant and built-in Model Context Protocol MCP server for Blender that turns plain-language briefs into inspected, approved and reversible 3D scene operations — with a visual Studio workspace, multi-agent teams, 21+ scene tools and your choice of AI models. · blender ai mcp suite · blender ai mcp · ai for blender

A text editor for LLMs, not humans. Take ed, the line editor that nobody has voluntarily used since about 1975, and rebuild it for an environment where the typing user is a language model. Short verbs, line addresses, no modes, no TUI. What an editor optimises for changes when the user is the model: round trips per task, tokens per command, an editing buffer with a long memory, and an undo tree that remembers the branches the agent abandoned, because that's often where the interesting work was. ## Features - **Fewer round trips.** Read-before-Edit is unnecessary; on conflict the response carries the new content so you reconcile in one call instead of pre-reading every time. - **Branching undo.** Walked-back work stays addressable instead of being thrown away when you pick a different path. - **Three-way merge.** Concurrent agents get a structured conflict response instead of a silent overwrite. - **Atomic batches.** Multi-file refactors run all-or-nothing instead of leaving half-applied state on failure. - **Cross-file moves and regex replace as primitives.** Operations the built-in tools can't express cleanly become single calls. - **Drift detection.** External edits to an open file are folded into the tree instead of being clobbered by the next write. - **Inline diagnostics.** Type errors and lint findings surface on save, not at the next build many edits later. - **Cross-session memory.** Per-file notes persist between sessions and surface inline on the next open. - **Audit log.** Every operation recorded with actor and timestamp, so two agents in one workspace can't argue about who moved the head. ## Multi-workspace (v0.4.0) One MCP server registration handles every project you mention. Tool calls route to the workspace owning the absolute path you pass; each project gets its own SQLite, its own undo tree, its own LSP daemon — lazily spawned on first touch. Desktop hosts (Claude Desktop, Codex Desktop, Cursor) install the server once globally and use it across projects without per-project config. ## Install `ae` must be installed locally; this MCP bundle registers `ae serve` as a stdio server. ```sh brew tap frane/tap && brew install agented # or curl -sSL https://raw.githubusercontent.com/frane/agented/master/install.sh | sh ``` Pure Go, single static binary, Apache 2.0. Source: https://github.com/frane/agented

# Metis FCA Handbook AI Harness — MCP Server An MCP (Model Context Protocol) server that integrates the Metis FCA Handbook AI Harness into Claude Desktop and other MCP-compatible agents. **Tool name:** `evaluate_fca_handbook_applicability` Use this tool to analyze FCA Handbook applicability for a product, service, or firm. Returns structured compliance reasoning with verbatim handbook citations. ## Why choose The Metis FCA Handbook AI Harness? - **Efficiency** Multiplies effectiveness of compliance advice. Saves £80+ in token fees per Harness run. - **Deals with "Hard Problem"**, in which LLMs' token incentives prioritise training data so results are unreliable. - **Verbatim citations** Quotes verbatim entries from the FCA Handbook. Other AI systems struggle to do this. - **Matches real-world need** You do not have to start off knowing which sections you are looking for. Carries out structured searches across all 10,000+ FCA Handbook entries. - **Secure Design** Harness compartmentalisation, one-shot structure, and statelessness fits natively with emerging AI agent security standards such as OWASP Top 10 for Agentic Applications 2026. - **AI Accessible** Integrates easily with AI workflows and agents. Your LLM can use it as a tool. ## Design Principles The Harness is built on proven principles: - **Stateless** — Each request is independent; no session coupling - **One-shot** — Complete analysis in a single call; no multi-turn state - **Clear contract** — Explicit input/output schemas for easy integration - **Hosted** — Single canonical source; no version drift or stale data ## Use Cases ### Compliance AI Platforms Embed FCA reasoning as a service within your compliance platform. Users ask natural-language questions; your platform calls the Harness and presents structured reasoning. ### AI Agent Workflows Agents building compliance workflows can include FCA Handbook reasoning as a composed tool—no external API calls, just MCP configuration. ### Compliance Review Automation Integrate into document review or due-diligence pipelines. Automatically screen new rules against FCA applicability. ## For Regulatory Screening FS firms screening MCP servers will find: - **Simple model:** Stateless, no hidden state, no background jobs - **Clear contract:** Explicit input schema, output schema, error modes - **Transparent updates:** Version pinning; no automatic upgrades - **Single point of failure:** If the Harness is down, it is obvious; no cascading config issues - **Audit-friendly:** All calls logged centrally, not distributed