Manage websites through MCP with tools for content, assets, templates, publishing, imports, search, and site administration.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Lightcms.
The jonradoff/lightcms MCP server connects MCP-compatible agents to LightCMS, a Go-based content management system designed for agent-controlled website operations. The repository describes an MCP interface with 106 tools and three prompt resources for managing site content and configuration.
Agents can work with reusable templates, custom fields, pages, folders, tags, snippets, collections, themes, assets, redirects, and multiple site forks. Content has version history, diff comparison, soft deletion, and revert support. Publishing can happen immediately or at a scheduled time, while approval workflows and contributor permissions can keep changes out of production until review.
The system also includes semantic search, generated llms.txt files, schema.org WebSite JSON-LD, analytics, maintenance reports, and a public read-only MCP endpoint for site visitors' agents. These capabilities make it relevant for teams that want both agent-operated content management and machine-readable site discovery.
The jonradoff/lightcms MCP server can communicate over local stdio or HTTP streamable transport. Local clients can connect directly to the running application, while remote agents can use OAuth 2.1 with PKCE. The README specifically names Claude Code, Claude Desktop, and other MCP-compatible clients as supported connection targets.
Content operations are exposed as MCP tools rather than requiring an agent to navigate the admin UI. The available operations cover individual edits as well as larger workflows, including Markdown, ZIP, CSV, and RSS/Atom imports. Import jobs provide status and cancellation operations, and repeated imports match content by full_path so an existing item can be updated instead of duplicated.
For safer agent workflows, LightCMS provides isolated forks with copy-on-write behavior, scoped API keys, sandbox-only keys, a session change ledger, rollback, and per-version provenance. Humans can review field-level differences before merging sandbox changes into live content.
The jonradoff/lightcms MCP server is part of the LightCMS application and is written in Go. The supplied material does not provide a verified package-manager command, binary invocation, Docker image, or complete configuration file, so installation details should be taken from the repository's current documentation.
Transport choice depends on the client and deployment model. Local use is described through stdio; remote use is available through HTTP streamable transport. Remote desktop-style connections can use OAuth 2.1 and PKCE rather than embedding a password. LightCMS also supports LIGHTCMS_EMBEDDINGS_PROVIDER=ollama for self-hosted semantic search, although the excerpt does not identify all configuration variables or state that this setting is required.
The MCP surface described in the repository includes capabilities for:
The excerpt contains inconsistent tool counts: the current description says 72 MCP tools, while the README describes 106 tools. The README's versioned feature notes also identify different subsets added in earlier releases, so consumers should verify the deployed version before relying on a particular tool.
The material does not include a license, a complete environment-variable reference, or a confirmed standalone installation command. It also does not establish whether external AI features, such as the Claude-powered chat widget, require a separate paid credential. Local Ollama embeddings are explicitly described as avoiding API credits, but that option does not document the requirements of every other AI-related feature.
The public MCP endpoint is read-only, while the management interface can write and publish content. Teams should therefore distinguish visitor-facing agent access from authenticated administrative operations when designing permissions and deployment boundaries.
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