Contentful Skills
ContentfulUse Contentful’s official guidance for API selection, Next.js integration, content migrations, custom apps, and personalization.
25 new projects: 1 MCP servers and 24 Skills, with official installation instructions and dated source checks.
New to FreeMCPLab, with repository activity since July 2026. This is not a claim that every product launched recently. Guides are available in English.
25 newly listed official projects: Mozilla Firefox DevTools MCP and 24 Skills collections, including MongoDB, Redis, Snowflake, Databricks, Contentful, LiveKit, RevenueCat, PlanetScale, dbt, LangChain and more.
25 new entries
Use Contentful’s official guidance for API selection, Next.js integration, content migrations, custom apps, and personalization.
Use Convex’s own workflows to start projects, configure authentication, build reusable components, plan migrations, and investigate performance.
Build Databricks apps, jobs, pipelines, Lakebase integrations, model-serving workflows, and automation bundles with engineering-owned agent skills.
Build DatoCMS integrations with guidance for content modeling, GraphQL, Structured Text, migrations, frontend previews, and dashboard plugins.
Bring dbt-authored workflows for analytics engineering, testing, semantic models, dbt Mesh, platform operations, and migration into your coding agent.
Build speech, transcription, conversational voice agents, sound effects, music, voice transformation, and dubbing workflows with ElevenLabs skills.
Use Mozilla’s MCP server to browse with Firefox and inspect page snapshots, network requests, console messages, and developer tooling.
Example starts a local process.
Read installation guide →Build agents with LangChain, LangGraph, and Deep Agents using the framework publisher’s setup, architecture, persistence, RAG, and evaluation guidance.
Inspect LLM application traces, build evaluation datasets, create evaluators, and work with LangSmith custom apps using publisher-authored skills.
Build, test, simulate, and operate voice agents with LiveKit’s skills for its Agents SDK, live documentation, and development tools.
Build embedded analytics applications with Luzmo guidance for dashboards, custom charts, AI queries, theming, and tenant isolation.
Use MongoDB’s official skills for query writing, schema design, query optimization, Atlas Search, and Vector Search.
Apply Payload’s TypeScript-first development guidance to collections, fields, hooks, access control, queries, and plugins.
Review PlanetScale database configuration and query behavior, produce evidence-backed recommendations, and prepare reviewable schema changes.
Add PostHog’s official integration and feature-flag skills to your coding assistant for analytics, error tracking, and LLM analytics workflows.
Use Pydantic’s plugins and standalone skills for data validation, Pydantic AI agents, Logfire instrumentation, telemetry queries, and evaluations.
Install Railway’s use-railway skill and plugin integration, with hosted MCP access for Railway account workflows.
Apply Redis’s own guidance to data structures, connection handling, search, semantic caching, clustering, security, and observability.
Build email integrations with Resend’s skills for its API, agent inboxes, terminal workflows, React Email, and email delivery practices.
Plan in-app purchase integrations and RevenueCat project workflows with official cross-platform skills and optional authenticated MCP access.
Create images, game assets, textures, video, audio, and consistent characters with Scenario’s skills and its MCP server.
Connect your coding agent to Snowflake’s Cortex Code workflows for SQL, data governance, dynamic tables, machine learning, and warehouse operations.
Build durable background tasks, AI chat agents, workflows, and realtime application interfaces with Trigger.dev’s own skills.
Develop with Turso’s embedded database and cloud platform using its own guidance for vector search, full-text search, sync, transactions, and SDKs.
Use Upstash’s SDK instruction packs for Redis, QStash, Workflow, Vector, Search, rate limiting, and storage integrations.
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We matched repository identities against the existing directory, read author README files and linked official guides, and checked GitHub repository activity and star snapshots. Selected servers also have linked records from the official MCP Registry.
Archived, deprecated, duplicate, and inactive candidates were excluded. No third-party server was installed or executed during review. Each guide separates author-documented capabilities from suggested prompts.