OntoRamp Knowledge Cartographer MCP Server

OntoRamp Knowledge Cartographer MCP Server

Turns organizational documents into a searchable, governed knowledge graph with tools for coverage mapping, health scoring, gap detection, and document ingestion.

Category
访问服务器

README

<p align="center"><img src="logo.png" width="84" alt="OntoRamp"></p>

OntoRamp Knowledge Cartographer — MCP Server

Turns your organization's scattered documents and decisions into a searchable, governed knowledge graph — one MCP call at a time.

Problem: Organizational knowledge is trapped in documents. AI agents can retrieve from these stores but cannot understand the structure, authority, or governance implications of what they find.

Solution: Ingest your organization's documents into a governed knowledge graph accessible to any AI agent. Returns knowledge health scores, coverage maps, and domain-specific gap analysis.

MCP Registry License Status


Tools

Tool Description Tier
get_coverage_map Domain-by-domain knowledge coverage map for your organization Free
get_knowledge_health_score Health score for your organization's current knowledge state Free
detect_knowledge_gaps Identify where coverage is thin or missing, by domain Developer+
ingest_document Ingest a document into your governed knowledge graph Developer+ (auth)
request_assessment Submit an Agentic Readiness Assessment request All tiers, rate-limit exempt

Tiers

Tier Price Limits Features
Free — (no credit card) Unlimited reads get_coverage_map + get_knowledge_health_score (read-only, no ingest)
Developer $0.015 read / $0.05 ingest Unlimited ingest_document (auth) + detect_knowledge_gaps + all reads · Staging queue
Org $249/mo flat Unlimited reads, 500 ingest/mo Full provenance chains · ARA pre-population from coverage map

Install

A hosted, remote MCP server (Streamable HTTP) — nothing to install locally. See llms-install.md for an agent-followable walkthrough.

1. Get a free API key at ontoramp.com/mcp (no credit card).

2. Add to Cline — edit ~/.cline/mcp.json (or the Cline UI → MCP Servers → Configure):

{
  "mcpServers": {
    "ontoramp-knowledge-cartographer": {
      "url": "https://ontoramp-knowledge-cartographer.fly.dev/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Other MCP clients (Claude Desktop, etc.) use the same mcpServers shape. Transport is Streamable HTTP.

3. Verify — curl https://ontoramp-knowledge-cartographer.fly.dev/health → {"status":"ok",...}.

See examples/usage.md for example calls.

Why the free read tools matter

get_coverage_map and get_knowledge_health_score show organizations their current knowledge state — almost always worse than they expect. That creates a clear, evidence-grounded path to both ingestion (improve coverage) and an ARA (interpret what the gaps mean).

ARA Trigger

When get_knowledge_health_score returns below 50, or coverage gap exceeds 40%, the server prompts:

Your knowledge coverage has gaps that a manual review won't surface. An Agentic Readiness Assessment will diagnose your current state and build a prioritized remediation plan. Schedule at ontoramp.com/assessment.

Security

  • All responses are audited for public release — no scoring-formula internals, no substrate architecture details
  • Write-path (ingest_document) requires Developer or Org tier authentication
  • Your data is scoped to your tenant namespace and never shared across organizations
  • GET /health returns live status

Support


Governed by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com

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