How do I use Marcora MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Marcora MCP Server create a product launch email using our brand voice" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Marcora MCP Server

by ccromp

Overview Schema Related Servers Score Discussions

Remote

Marcora MCP Server

The context layer for GTM teams — one source of truth for brand and company context, so your whole team produces consistent, on-brand content in any AI tool. Connect your AI tools to Marcora through the Model Context Protocol.

Learn more: marcora.ai · Smithery: smithery.ai/servers/chris-2acp/marcora

About

This is the public documentation repository for Marcora's hosted MCP server. The server itself is a commercial, closed-source remote service. This repo provides metadata, connection instructions, tool documentation, and support resources.


Type	Hosted remote MCP server
Implementation	Closed-source (commercial)
Transport	Streamable HTTP
Authentication	OAuth 2.0 or API token
Status	Production

Related MCP server: booklib

What It Does

Marcora is the context layer for go-to-market teams — one source of truth for your brand and company context, so your whole team produces consistent, on-brand content in any AI tool. It stores your brand context, manages reusable content templates (blueprints), and generates marketing documents informed by your full company context. The MCP server brings all of this into your AI assistant — create content, manage context, browse community templates, and organize projects without leaving your chat.

Marcora's MCP server enables AI clients to:

Manage brand and company context and reference materials
Create and manage blueprints for content generation
Generate marketing content from context and blueprints
Organize work with projects and collections
Browse and import community blueprints and templates
Plan content on the plans board and produce it, individually or from reusable playbooks
Automate recurring work with reusable, multi-step workflows
Share content externally and export to Word

Connection

Server URL (OAuth): https://mcp.marcora.ai

Authentication options:

OAuth 2.0 (recommended for interactive clients) — connect using https://mcp.marcora.ai
API Token (for non-interactive environments) — generate a key at Integration Settings and connect to the same URL (https://mcp.marcora.ai), passing the key in an Authorization: Bearer <your-api-key> header. The server negotiates the right transport automatically.

Quickstart

Add to your MCP client config:

{
  "mcpServers": {
    "marcora": {
      "url": "https://mcp.marcora.ai"
    }
  }
}

See docs/quickstart.md for setup instructions for Claude, ChatGPT, Claude Desktop, Cursor, and VS Code.

Companion Anthropic Skill (recommended)

One companion Anthropic Skill ships alongside this server. It teaches your AI client Marcora's mental model, the right tool sequencing, the questions to ask the user before acting, and the pitfalls to avoid — so the agent stops misfiring on tasks that look ambiguous from tool descriptions alone.

Skill	What it covers	Source
Marcora AI Workflows (`marcora-mcp`)	Object model (content, blueprints, projects, context items); content-generation patterns; the 4-layer context model; project-brief mechanics; the content plans board and playbooks; building reusable multi-step workflows; and choosing between similar tools	`skill/marcora-mcp/`

Your AI client picks the skill up on demand based on the task.

Download

Get the .skill file from the latest release:

marcora-mcp.skill — the Marcora skill (a zip archive containing SKILL.md and its bundled reference files).

Install

Claude Code:

# Download and unzip into your skills directory
mkdir -p ~/.claude/skills
unzip ~/Downloads/marcora-mcp.skill -d ~/.claude/skills/

Restart Claude Code. The skill loads automatically on any matching task.

Claude Desktop:

Import the .skill file via Claude Desktop's Skills folder. See Anthropic's Skills documentation for the current path on your platform.

ChatGPT, Cursor, and other non-Anthropic clients:

These clients don't directly support Anthropic Skills (yet). Workaround: unzip the .skill file and paste the contents of SKILL.md into your client's custom instructions or system-prompt slot. Bundled reference files can be pasted in too if your client supports longer context.

Power-user install (clone and symlink)

If you'd rather track main directly:

git clone https://github.com/ccromp/marcora-mcp.git
ln -s "$(pwd)/marcora-mcp/skill/marcora-mcp" ~/.claude/skills/marcora-mcp

The unbundled skill source lives under skill/.

Releases

Releases are tagged marcora-vX.Y.Z — see Releases. Each release attaches the bundled skill as marcora-mcp.skill. The skill's own version is the metadata.version field in its SKILL.md, and it moves independently of the release tag.

Available Tools

Category	Tool	Description
Account	`get_current_user_info`	Get profile, subscription, and usage info
Account	`get_team_info`	List every team you belong to + each team's members (numeric user_ids for assignment)
Account	`set_active_team`	Switch your active team (returns `previous_team_id` to restore)
Context & Resources	`get_brand_foundation`	Get team's Brand Foundation (company overview, voice, style, examples)
Context & Resources	`update_brand_foundation`	Overwrite one Brand Foundation element
Context & Resources	`list_context_collections`	List context collections
Context & Resources	`create_context_collection`	Create a new context collection
Context & Resources	`add_context`	Add a context item to your library
Context & Resources	`update_context`	Update an existing context item
Context & Resources	`list_context_items`	List context items in your library (optional semantic `search`)
Context & Resources	`get_context_item`	Get a context item's full markdown content
Context & Resources	`get_relevant_context`	Search context library by prompt
Context Intelligence	`list_ci_findings`	List findings from automated context-library scans
Context Intelligence	`get_ci_finding`	Get one finding in full detail by UUID
Context Intelligence	`update_ci_finding_status`	Acknowledge, dismiss, or resolve a finding
Context Intelligence	`trigger_health_audit_scan`	Start a library-wide context health audit
Content Grounding	`check_content_grounding`	Check a document's claims against your context library
Content Grounding	`get_grounding_result`	Read a grounding scan's result (poll with `scan_id`)
Content Grounding	`apply_grounding_fix`	Apply a finding's recommended fix by id
Reference	`list_content_categories`	List content categories
Reference	`list_targeting_dimensions`	List targeting dimensions and options
Blueprints	`list_blueprints`	List all blueprints
Blueprints	`get_blueprint`	Get blueprint details by UUID
Blueprints	`create_blueprint`	Create a reusable content template
Blueprints	`create_blueprint_draft`	Create an AI-assisted blueprint draft
Blueprints	`finalize_blueprint_draft`	Publish a blueprint draft
Community Blueprints	`list_community_blueprints`	Browse community templates
Community Blueprints	`get_community_blueprint_details`	Get community blueprint details
Community Blueprints	`import_community_blueprint`	Import a community blueprint
Content	`create_content`	Generate content (with or without blueprint)
Content	`get_generation_status`	Check async generation status
Content	`list_content`	List all content (optional semantic `search`)
Content	`get_content`	Get full content by ID
Content	`update_content`	Update a content document
Content	`ask_content_assistant`	Run the in-document Content Assistant on a document
Sharing & Export	`create_external_share`	Create a public share link
Sharing & Export	`convert_markdown_to_word_doc`	Export markdown as Word doc
Projects	`list_projects`	List all projects
Projects	`get_project`	Get project details
Projects	`create_project`	Create a new project
Projects	`update_project`	Update mutable fields on a project
Plans & Playbooks	`list_plans`	List content plans (with filters)
Plans & Playbooks	`get_plan`	Get plan details by UUID
Plans & Playbooks	`create_plan`	Create a new content plan
Plans & Playbooks	`update_plan`	Update a plan or transition its stage
Plans & Playbooks	`produce_plan`	Produce (generate) the content a plan describes
Plans & Playbooks	`list_playbooks`	List content playbooks
Plans & Playbooks	`get_playbook`	Get a playbook and its ordered items
Plans & Playbooks	`create_playbook`	Author a reusable playbook of plan items
Plans & Playbooks	`create_playbook_from_plans`	Capture existing plans as a playbook
Plans & Playbooks	`update_playbook`	Rename, re-describe, or restructure a playbook
Plans & Playbooks	`instantiate_playbook`	Run a playbook into a batch of plans (optionally anchored to a date)
Workflows	`list_workflows`	List workflows
Workflows	`get_workflow`	Get a workflow's full definition
Workflows	`create_workflow`	Create a new workflow template
Workflows	`update_workflow`	Update, activate, or archive a workflow
Workflows	`run_workflow`	Run a workflow now
Workflows	`get_workflow_runs`	Inspect workflow run history

See docs/tools.md for the complete tool reference.

Documentation

Security & Privacy

See docs/security.md for details on data handling, permissions, and responsible disclosure.

Support

Bug reports & feature requests: GitHub Issues
Website: marcora.ai

License

This repository contains documentation and metadata only. The Marcora MCP server implementation is proprietary and not included.

Documentation is licensed under CC BY 4.0.

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

3dRelease cycle

25Releases (12mo)

Commit activity

Resources

GitHub Repository

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