Marcora MCP Server

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.

Category
访问服务器

README

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.

smithery badge

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

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

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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选