"MCP integration with LangChain documentation" matching MCP servers:

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

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 interaction with Azure DevOps services through Personal Access Token authentication. Provides 75 tools for managing work items, builds, repositories, pull requests, and other DevOps operations via both CLI and HTTP API interfaces.

Enables AI assistants to interact with Jenkins CI/CD systems through natural language, providing build management, job monitoring, log analysis, and debugging capabilities.

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 natural language management of Expo and EAS projects, including SDK documentation, cloud builds, CI workflows, store submission, and TestFlight crash and feedback data.

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

Provides AI assistants with access to Capawesome documentation and Cloud management tools, enabling app, build, and deployment operations via API token authentication.

Agent-readiness scorecard for any MCP server: protocol checks, 0-100 score and actionable findings.

Enables coding agents to read Squally CI data, including test results, flakiness, and failure diagnostics.

Checks npm and PyPI packages for outdated versions, deprecation status, and breaking changes with cited sources, enabling AI agents to verify dependency freshness.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.

Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.

A security-focused MCP server for self-hosted n8n Community Edition, providing 44 bounded tools to manage workflows, nodes, executions, credentials, tags, and more via the n8n Public API.

Enables AI agents to deploy HTML and pull reviewer comments via the briefroom CLI without spawning shells.

Enables AI coding tools to scaffold, build, and deploy Node.js or Python apps to Varity with a single command, automatically provisioning databases and backend services.

MCP server with the watch_ci tool that polls GitHub Actions until a commit's CI run finishes, then returns the outcome and failed log tail in one call.

An MCP server for managing Modal — apps, containers, volumes, and secrets — and for deploying & running Modal apps directly from Claude Code and other MCP clients.

A Model Context Protocol server for checking package versions and metadata across multiple package managers including npm, PyPI, Maven, NuGet, RubyGems, Crates.io, and Go modules.

CP server for Harbor Registry — projects, repositories, artifacts, storage reports, cleanup candidates. Works with any Harbor 2.x instance.