MCP server directory

Transform Fragmented Data into Connected Semantic Data Model Intugle’s GenAI-powered open-source Python library builds a semantic data model over your existing data systems. At its core, it discovers meaningful links and relationships across data assets — enriching them with profiles, classifications, and business glossaries. With this connected knowledge layer, you can enable semantic search and auto-generate queries to create unified data products, making data integration and exploration faster, more accurate, and far less manual.

6 tools · Build unified data products, Discover links and relationships across tables

Manage test cases, execute manual or automated tests, debug issues, and even fix code—directly within tools like Cursor, Claude, or any MCP-enabled client, using plain English. Easily connect the BrowserStack Test Platform to your favourite AI tools, such as IDEs, LLMs, or agentic workflows. Manage, execute, debug tests, and even fix code using plain English prompts. Stay in flow—keep all project context in one place and trigger actions directly from your IDE or LLM. Click on the buttons below to install MCP in your respective IDE:

6 tools · Execute and debug automated tests, Generate and heal tests with AI

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once approved, all tools below are available in your session. Add https://mcp.hostinger.com as a remote Streamable HTTP MCP server in your client's configuration and complete the OAuth prompt when it appears. Refer to your client's docs for how it exposes "add remote MCP server" / "custom connector" settings.

5 tools · Configure PHP and WordPress, Deploy websites from archives

A Node.js server implementing Model Context Protocol (MCP) for Webflow using the Webflow JavaScript SDK. Enable AI agents to interact with Webflow APIs. Learn more about Webflow's Data API in the developer documentation. Get started by installing Webflow's remote MCP server. The remote server uses OAuth to authenticate with your Webflow sites, and a companion app that syncs your live canvas with your AI agent. > Note: The MCP server currently supports Node.js 22.3.0 or higher. If you run into version issues, see the Node.js compatibility guidance.

4 tools · Add internal links across blog posts, Analyze CMS content and suggest new topics

> Universal RPC layer for AI agents across network boundaries and languages AgentRPC allows you to connect to any function, in any language, across network boundaries. It's ideal when you have services deployed in: - Private VPCs - Kubernetes clusters - Multiple cloud environments AgentRPC wraps your functions in a universal RPC interface, connecting them to a hosted RPC server accessible through open standards: - Model Context Protocol (MCP) - OpenAI-compatible tool definitions (OpenAI, Anthropic, LiteLLM, OpenRouter, etc.)

4 tools · Access tools via hosted MCP, Connect to tools inside private networks

Dart is Project Management powered by AI. > [!WARNING] > The Dart local MCP server is deprecated in favor of the simplified and improved hosted Dart MCP server, which you can configure with these instructions. - Features - Prompts - Resource templates - Tools - Task management - Document management - Setup - Find the MCP settings file for the client - Claude Desktop - Claude Code - Cursor - Cline - Windsurf - Any other client - Set up the MCP server - Variant: setup with Docker - Help and Resources - Contributing - License

6 tools · add_task_comment, create_doc

Skene reads your codebase and produces a user journey for your product: the lifecycle stages a user moves through, the milestones inside each stage, and the code or database evidence that proves each milestone is real. Install and launch the interactive terminal UI: The wizard walks you through provider selection, authentication, and analysis — no configuration needed upfront. Skene turns a repository into a single journey.yaml describing your product's user lifecycle, and renders it as an interactive diagram.

4 tools · Analyze a codebase into a user journey, Combine code and SQL schema analysis

Here's a step-by-step tutorial for setting up and deploying a project with wxflows, including installing necessary tools, deploying the app, and running it locally. This example consists of the following pieces: - MCP TypeScript SDK (mcp server) - wxflows SDK (tools) > You can use any of the supported MCP clients. This guide will walk you through installing the wxflows CLI, initializing and deploying a project, and running the application locally. We’ll use google_books and wikipedia tools as examples for tool calling with wxflows.

4 tools · Connect the server to an MCP client, Deploy custom tool configurations

1. Get your API key from Mureka. 2. Install uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh or see the uv repo for additional install methods. 3. Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following: Then restart the Claude app and see 4 MCP tools available in the window, indicating successful loading <div class="title-block" style="text-align: left;"> <img src="https://raw.githubusercontent.com/SkyworkAI/Mureka-mcp/refs/heads/master/assets/img.png" width="400"> </div>

4 tools · Configure generation timeout, generate_bgm

This is a monorepo for the Model Context Protocol server that exposes all of Twilio APIs. The Model Context Protocol (MCP) is a protocol for exchanging model context information between AI tools and services. This implementation allows you to expose Twilio's APIs to AI assistants and other tools that support the MCP protocol. This monorepo contains two main packages: - mcp - MCP Server for all of Twilio's Public API - openapi-mcp-server - An MCP server that serves the given OpenAPI spec Each package has its own comprehensive README with detailed documentation:

5 tools · Buy and configure phone numbers, Filter exposed APIs by service

DINO-X Official MCP Server — powered by the DINO-X and Grounding DINO models — brings fine-grained object detection and image understanding to your multimodal applications. - Fine-Grained Understanding: Full image detection, object detection, and region-level descriptions. - Structured Outputs: Get object categories, counts, locations, and attributes for VQA and multi-step reasoning tasks. - Composable: Works seamlessly with other MCP servers to build end-to-end visual agents or automation pipelines.

4 tools · Detect all objects in a scene, Estimate human pose keypoints

The open-source AI platform — chat, knowledge, media and agents on infrastructure you control. Website &nbsp;·&nbsp; Docs &nbsp;·&nbsp; Live instance &nbsp;·&nbsp; iPhone App &nbsp;·&nbsp; Outlook Add-in &nbsp;·&nbsp; Discord - We open-source artificial intelligence. The complete platform — backend, frontend, widgets, plugins — is Apache-2.0, Dockerized, and starts with one command. No core/enterprise split, no functional downgrade: self-hosted is the same software as our cloud. - Hundreds of models, one platform. OpenAI, Anthropic, Google Gemini, Groq, Mistral, xAI, HuggingFace, sovereign EU providers, and any local model via Ollama — swap providers per task in the UI, without touching a config file. No vendor lock-in, ever. - DAG task routing that saves tokens. An AI planner decomposes complex requests into a directed task graph (extract → summarize → generate → reply) and routes every step to the model that fits it — a cheap fast model for extraction, a strong one only where reasoni

5 tools · Expose RAG and memories as MCP tools, mcp_action

A Model Context Protocol (MCP) server that provides browser automation capabilities using kogiQA. This server enables LLMs to interact with web pages through natural language, bypassing the need for screenshots or visually-tuned models. - Debug style issues on your page - Automatically fix console errors. - Map and document the functionality of your web app - Automatically write end-to-end tests - Automate exploratory testing of your application The kogiQA MCP Server provides a browser which incorporates the capabilities of the kogiQA browser control algorithm. This enables agents to interact with pages without a selector, saving time and tokens.

5 tools · Debug style issues, Fix console errors

Model Context Protocol (MCP) Server Collection for OceanBase Ecosystem awesome-oceanbase-mcp is a Model Context Protocol (MCP) server repository specifically designed for the OceanBase ecosystem. 🎯 Mission: Enable AI assistants to interact directly with OceanBase databases and ecosystem components through standardized MCP protocols. ✨ Core Values: - 🤖 AI-Friendly: Direct database operations within Claude, ChatGPT and other AI assistants - 🔒 Secure & Reliable: Provides safe database access and operation mechanisms - 🛠️ Complete Ecosystem: Covers the complete OceanBase product and tool chain - 🚀 Ready to Use: Simple configuration to get started

5 tools · Diagnose performance issues, Manage cloud database instances

This project follows the Model Context Protocol standard, allowing AI assistants to interact with Square's connect API. Get up and running with the Square MCP server using npx: ACCESS_TOKEN=YOUR_SQUARE_ACCESS_TOKEN SANDBOX=true npx square-mcp-server start Replace YOUR_SQUARE_ACCESS_TOKEN with your actual Square access token. You can obtain your access token by following the guide at Square Access Tokens. You can also set environment variables before running the command. Square now offers a hosted remote MCP server at:

4 tools · get_service_info, get_type_info

The Oxylabs MCP server provides a bridge between AI models and the web. It enables them to scrape any URL, render JavaScript-heavy pages, extract and format content for AI use, manage CAPTCHA, and access geo-restricted web data from 195+ countries. It is built on the Model Context Protocol (MCP), the open standard for connecting AI assistants to external tools and data. Oxylabs MCP provides two sets of tools that can be used together or independently: 1. universal_scraper: scrapes any URL, with optional JavaScript rendering, geo-targeting, and Markdown/HTML/links output; 2. google_search_scraper: extracts results from Google Search, with optional parsing into structured JSON; 3. amazon_search_scraper: scrapes Amazon search result pages, with optional parsing into structured JSON; 4. amazon_product_scraper: extracts data from individual Amazon product pages.

6 tools · ai_browser_agent, ai_crawler

MCP (Model Context Protocol) server to manage documents and perform searches using Needle through Claude's Desktop Application. - Overview - Features - Usage - Commands in Claude Desktop - Result in Needle - Installation - Video Explanation - Organize and store documents for quick retrieval. - Perform powerful searches via Claude's large language model. - Integrate seamlessly with the Needle ecosystem for advanced document management. MCP (Model Context Protocol) standardizes the way LLMs connect to external data sources. You can use Needle MCP Server to easily enable semantic search tools in your AI applications, making data buried in PDFs, DOCX, XLSX, and other files instantly accessible by LLMs.

4 tools · Add documents to a collection, Create a new collection

> [!WARNING] > This repository is discontinued and no longer maintained. > Box now provides an officially supported hosted MCP server with the best experience and full functionality. > Please migrate to the hosted MCP server: Set up the Box MCP Server → Set the following environment variables for Box authentication in a .env file or your system environment. For comprehensive authentication configuration options, see the Authentication Guide. BOX_MCP_SERVER_AUTH_TOKEN = YOUR_BOX_MCP_SERVER_AUTH_TOKEN OAUTH_PROTECTED_RESOURCES_CONFIG_FILE = .oauth-protected-resource.json

6 tools · box_tools_ai, box_tools_files

Octopus makes it easy to deliver software to Kubernetes, multi-cloud, on-prem infrastructure, and anywhere else. Automate the release, deployment, and operations of your software and AI workloads with a tool that can handle CD at scale in ways no other tool can. Model Context Protocol (MCP) allows the AI assistants you use in your day to day work, like Claude Code, or ChatGPT, to connect to the systems and services you own in a standardized fashion, allowing them to pull information from those systems and services to answer questions and perform tasks.

6 tools · find_feature_toggles, find_releases

The Cycode Command Line Interface (CLI) is an application you can install locally to scan your repositories for secrets, infrastructure as code misconfigurations, software composition analysis vulnerabilities, and static application security testing issues. This guide walks you through both installation and usage. 1. Prerequisites 2. Installation 1. Install Cycode CLI 1. Using the Auth Command 2. Using the Configure Command 3. Add to Environment Variables 1. On Unix/Linux 2. On Windows 2. Install Pre-Commit Hook 3. Cycode CLI Commands 4. Certificates and Proxies 5. MCP Command 1. Starting the MCP Server 2. Available Options 3. MCP Tools 4. Usage Examples 5. Advanced Configuration 6. Platform Command 1. Discovering Commands 2. Examples 3. Notes & Limitations 7. AI Guardrails 1. Data Collected by AI Guardrails 8. Scan Command 1. Running a Scan 1. Options 1. Severity Threshold 2. Monitor 3. Cycode Report 4. Package Vulnerabilities 5. License Compliance 6. Lock Restore 7. Stop on Error 2.

5 tools · cycode_iac_scan, cycode_sast_scan

> Control your real browser with AI through the Model Context Protocol An MCP (Model Context Protocol) server that lets AI assistants control your actual browser (Chrome, Firefox, or Opera) through a browser extension. Unlike headless automation tools, this uses your real browser profile with all your logged-in sessions, cookies, and extensions intact. Perfect for: AI agents that need to interact with sites where you're already logged in, or that need to avoid bot detection. Chrome / Edge / Opera - Chrome Web Store (works for all Chromium browsers) - Manual: Download from Releases, then load unpacked at chrome://extensions/ (Chrome), edge://extensions/ (Edge), or opera://extensions/ (Opera)

6 tools · browser_evaluate, browser_interact

An MCP (Model Context Protocol) server that gives AI agents full access to the Harness.io platform through 11 consolidated tools and 240 resource types. Most MCP servers map one tool per API endpoint. For a platform as broad as Harness, that means 240+ tools — and LLMs get worse at tool selection as the count grows. Context windows fill up with schemas, and every new endpoint means new code. - 11 tools, 240 resource types. A registry-based dispatch system routes harness_list, harness_get, harness_create, etc. to any Harness resource — pipelines, services, environments, orgs, projects, feature flags, cost data, and more. The LLM picks from 11 tools instead of hundreds. - Full platform coverage. 39 default toolsets spanning CI/CD, GitOps, Feature Flags, Cloud Cost Management, Security Testing, Chaos Engineering, Database DevOps, Internal Developer Portal, Software Supply Chain, Infrastructure as Code Management, Release Management, Governance, Service Overrides, Knowledge Graph, and more

6 tools · Build and deploy end-to-end, Cross-project execution monitoring

Sponsored by <a href="https://oiya.ai/?utm_source=github&amp;utm_medium=referral&amp;utm_campaign=openlore&amp;utm_content=sponsor_logo"><img src="assets/oiya-logo.svg" alt="Oiya" height="24" align="absmiddle"></a> OpenLore is a minimal, extensible, agent-native knowledge base that keeps shared context current and inspectable. AI coding agents already know how to explore files with ls, cat, grep, find, pipes, and shell loops. OpenLore gives them that same interface over SSH, backed by your documentation instead of a real machine.

5 tools · Manage identity-scoped access, publish

AI-powered browser testing via the Model Context Protocol. Point it at any URL (or localhost) and describe what to test — an AI agent browses your app and returns pass/fail with screenshots. Requires Node.js 20.20.0 or later (transitive requirement from posthog-node@^5.26.0). Testing http://localhost:... URLs requires the caddy binary — check_app_in_browser, probe_page, and trigger_crawl tunnel localhost targets through a local Caddy reverse proxy. This installs automatically: the @radically-straightforward/caddy npm dependency downloads a pinned Caddy release for your platform during npm install/npx, same as this project already does for the ngrok binary — nothing to install yourself in the normal case. If that download never ran (npm install --ignore-scripts, an offline/air-gapped install), point CADDY_BIN at your own install (brew install caddy / apt install caddy / see caddyserver.com/docs/install) — missing it surfaces as a clear error on the first localhost-URL call, not a silent

6 tools · check_app_in_browser, environment

> [!IMPORTANT] > Private Preview Notice > The Gemini Cloud Assist MCP server APIs are currently in Private Preview and are behind an allowlist. Please contact your Google Cloud account team to request access. > [!WARNING] > Deprecation Notice & Migration to Remote MCP Server > > The Gemini Cloud Assist MCP server has migrated from a local Node.js architecture to a Remote MCP Server architecture. The older local Node.js server will lose support in the coming months. > > To use the new Remote MCP Servers, please use version v0.8.0 or later. If you wish to continue using the legacy local server during the transition, please pin your configuration to older versions.

6 tools · ask_cloud_assist, design_infra

ZooData is the data infrastructure built for agents. Not a scraping API. Not a human dashboard. A purpose-built data layer that gives your AI agents direct access to Amazon commerce signals — 200M+ indexed products, 2+ years of history, and 1B+ reviews pre-processed into structured insights. Clean JSON, real-time, agent-ready. https://github.com/user-attachments/assets/305a161b-7a53-49b8-afdc-4469a4fbf361 This repo contains 11 agent skills organized in two tiers: 🏗️ Foundation — data access and full-spectrum analysis:

6 tools · Competitor discovery, Historical trends

An MCP server that provides tools for sending and testing in sandbox via Mailtrap. Before using this MCP server, you need to: 1. Create a Mailtrap account 2. Verify your domain 3. Get your API token from Mailtrap API settings 4. Get your Account ID from Mailtrap account management - MAILTRAP_API_TOKEN - Required for all functionality - MAILTRAP_ACCOUNT_ID - Required for templates, stats, email logs, sandbox list/show, and sending domains. Optional only for the send tools (send-email, send-sandbox-email, and the batch-send-\ tools) and the email campaign tools.

6 tools · Debug delivery with email logs, Inspect sandbox messages

Gitee MCP Server is a Model Context Protocol (MCP) server implementation for Gitee. It provides a set of tools for interacting with Gitee's API, allowing AI assistants to manage repositories, issues, pull requests, and more. - Interact with Gitee repositories, issues, pull requests, and notifications - Configurable API base URL to support different Gitee instances - Command-line flags for easy configuration - Supports both personal, organization, and enterprise operations - Dynamic toolset enable/disable

6 tools · create_pull, get_file_content

Official Model Context Protocol (MCP) server for esa.io - STDIO transport version. This MCP server provides seamless integration between AI assistants and esa.io, a collaborative documentation platform. It enables AI assistants to read, create, update, and manage esa documents directly through the Model Context Protocol. - esa_get_teams - Get user's accessible esa teams - esa_get_team_stats - Get team statistics (members, posts, comments, stars, watches, active users) - esa_get_team_tags - Get all tags used in team posts with count - esa_get_team_members - Get team members with roles and profile information

6 tools · esa_archive_post, esa_create_post

Archcore is a git-native context layer for AI coding agents. The CLI keeps specs, architecture decisions, rules, plans, and project knowledge in .archcore/, versioned with your code, and serves the relevant context to coding agents through MCP and session hooks. It ships as a CLI and a local stdio MCP server, so any MCP-compatible coding agent can read and write your project context through standard tools. Use it for persistent project context across Claude Code, Cursor, Codex CLI, GitHub Copilot, Gemini CLI, OpenCode, Roo Code, and Cline.

6 tools · add_relation, create_document

This repository is deprecated and no longer maintained. Please use the official Axiom MCP Server at https://mcp.axiom.co instead. A Model Context Protocol server implementation for Axiom that enables AI agents to query your data using Axiom Processing Language (APL). Works with Claude desktop app. Implements six MCP tools: - queryApl: Execute APL queries against Axiom datasets - listDatasets: List available Axiom datasets - getDatasetSchema: Get dataset schema - getSavedQueries: Retrieve saved/starred APL queries - getMonitors: List monitoring configurations - getMonitorsHistory: Get monitor execution history

5 tools · Access saved APL queries, Check monitor status and history

Netlify MCP Server follows the Model Context Protocol (MCP) to enable code agents to use the Netlify API and CLI—so they can create new projects, build, deploy, and manage your Netlify resources using natural language prompts. The Model Context Protocol is an emerging standard protocol for connecting code agents with MCP servers, allowing them to manage resources and perform tasks using natural language. The Netlify MCP Server acts as a bridge, providing API access, CLI tools, prompts, and more for your agents.

6 tools · Configure environment variables, Create and deploy projects

A Model Context Protocol (MCP) server for Mailgun that gives AI agents a practical, workflow-oriented interface to send email, diagnose deliverability, and manage account operations. > [!NOTE] > This MCP server runs locally on your machine and communicates over stdio. Mailgun does not currently offer a hosted version of this server. - Messaging — Send emails, retrieve stored messages, resend messages - Domains — View domain details, verify DNS configuration, manage tracking settings (click, open, unsubscribe) - Webhooks — List, create, and update event webhooks - Routes — View and update inbound email routing rules - Mailing Lists — Create, view, and update mailing lists and their members - Templates — Create, view, and update email templates with versioning - Analytics — Query sending metrics, usage metrics, and logs - Stats — View aggregate statistics by domain, tag, provider, device, and country - Suppressions — View bounces, unsubscribes, complaints, and allowlist entries - IPs & I

6 tools · Manage domains and DNS, Manage templates, lists, routes, and webhooks

Pre-requisites: Teradata database (or free sandbox) + uv Add this to claude_desktop_config.json (Settings > Developer > Edit Config): - FastMCP v3 — Guaranteed resource cleanup with improved lifespan management - Hooks Capability — Intercept tool calls for custom monitoring, audit, or rate-limiting - Row Limit Protection — Configurable caps (DEFAULT_ROW_LIMIT, MAX_ROW_LIMIT) prevent LLM token overflow - Enhanced Security — VX views for fine-grained row-level access control Add Custom Logic Use hooks to intercept tool calls for monitoring, audit trails, or validation → Hooks Guide

4 tools · base, plot

Invoicing — Create, send, and track invoices including recurring and ZUGFeRD e-invoices Bookkeeping — Categorize transactions, match receipts, and verify entries Automation rules — "Always book Telekom to Internet costs": preview, create, and manage rules that categorize matching transactions automatically Client Management — Maintain your client database and contact details Tax Filing — Generate Finanzamt previews, file VAT returns, and track deadlines Company Overview — Check your balance, revenue, and financial health at a glance

6 tools · Categorize transactions, Create and send invoices

gotoHuman makes it easy to add human approvals to AI agents and agentic workflows. A fully-managed async human-in-the-loop workflow with a customizable approval UI. Enjoy built-in auth, webhooks, notifications, team features, and an evolving training dataset. Use our MCP server to request human approvals from your AI workflows via MCP or add it to your IDE to help with integration. Get your API key and set up an approval step at app.gotohuman.com This is Cursor on the left, but this could be a background agent that also reacts to the approval webhook.

4 tools · Get the schema for a review template, List available review templates