"Firecrawl MCP (Model Context Protocol) Integration" matching MCP servers:

Deterministic dependency + CVE context for AI coding tools, over the Model Context Protocol. A ~0.85 MB pure-Rust MCP server.

Enables auditing MCP servers' tools by their estimated context token cost, ranking verbose names, descriptions, and schemas before they consume the agent window. Can run as an MCP tool so agents can budget their own context.

Enables AI agents and external systems to programmatically trigger and monitor Jenkins jobs, retrieve build status and logs via MCP standards.

Provides AI-assisted guidance for the Weik.io integration platform, enabling planning, implementation, testing, and deployment of integrations using Apache Camel and specialized Weik.io features.

Enables managing SAP Cloud Integration iFlows, packages, configurations, deployments, and runtime artifacts via natural language through the OData API.

Enables structured role-to-role handoffs and merge gating for multi-agent collaboration. It persists evidence and computes approval gates without invoking LLMs.

A FastAPI-based JSON-RPC 2.0 server implementation that enables users to work with HDF5 files, submit Slurm jobs, retrieve CPU information, and visualize CSV data through standardized API endpoints.

A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.

A Model Context Protocol server that provides comprehensive Electron application automation, debugging, and observability capabilities through Chrome DevTools Protocol integration.

Enables AI assistants to interact with Azure DevOps, providing tools for managing work items, repositories, pipelines, and more through the Model Context Protocol.

A Model Context Protocol (MCP) server that provides Xcode-related tools for integration with AI assistants and other MCP clients.

The Model Context Protocol (MCP) Jenkins integration is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

An MCP server for Infrastructure as Code that enables AI assistants to manage cloud resources through Ansible and Terraform operations. It supports executing playbooks, managing AWS services, and running Terraform commands with optional LocalStack integration.

Enables AI assistants to manage Prismatic integrations, components, and flows via the Model Context Protocol, supporting code-native integration development and component lifecycle.

Integrates GitLab with AI assistants to manage merge requests, analyze CI/CD pipelines, and create Architecture Decision Records. It enables seamless code searching, pipeline triggering, and deployment management through the Model Context Protocol.

A Model Context Protocol (MCP) server that provides tools for interacting with Bitbucket repositories, pull requests, issues, and more.

A Model Context Protocol server for GitLab integration, enabling AI assistants to manage projects, merge requests, pipelines, issues, releases, and more.

Provides Jenkins CI/CD integration for AI assistants through the Model Context Protocol, enabling job management, build control, and system administration via natural language commands.

A Model Context Protocol (MCP) server for GitLab integration, written in TypeScript. This server allows you to interact with GitLab merge requests, commits, pipelines, and jobs through MCP tools.

MCP Harbor is a Node.js application that provides a Model Context Protocol (MCP) server for interacting with Harbor container registry.