开源MCP工具
经 AI Skill Hub 精选评估，开源MCP工具 获评「推荐使用」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色，AI 评分 7.5 分，适合有一定技术背景的用户使用。
通过安装 开源MCP工具，你的 AI 助手将获得额外的工具调用能力，可以用自然语言直接操控该工具的功能，无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置，永久增强"——配置完成后，每次与 AI 对话时都可以无缝调用这些工具。
在技术实现上，MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信，工具的功能以"工具列表"的形式暴露给 AI 模型，AI 可以按需调用。开源MCP工具 提供了结构化的工具调用接口，使 AI 模型能够精确地理解和使用每个功能点，显著降低 AI 在工具使用上的错误率。
与传统的 API 集成相比，MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON，即可让 AI 获得全新能力。AI Skill Hub 将 开源MCP工具 评为 AI 评分 7.5 分，属于同类工具中的优质选择。
提供SPARQL查询工具的MCP服务器，开源且基于Python开发，方便知识图谱应用
开源MCP工具 是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。
提供SPARQL查询工具的MCP服务器，开源且基于Python开发，方便知识图谱应用
开源MCP工具 是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。
- 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
- 提供结构化工具调用接口，显著降低 AI 集成复杂度
- 支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
- 可与其他 MCP 工具组合叠加，构建完整 AI 工作站
- 轻量无侵入设计，不影响现有系统架构
- 在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
- 通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
- 将多个 MCP 工具组合使用，构建个人专属 AI 工作站
# 方式一：通过 Claude Code CLI 一键安装
claude skill install https://github.com/sbl-sdsc/mcp-proto-okn
# 方式二：手动配置 claude_desktop_config.json
{
"mcpServers": {
"--mcp--": {
"command": "npx",
"args": ["-y", "mcp-proto-okn"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
- 确认已安装 Node.js（v18 或以上版本）
- 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
- 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
- 保存配置文件并重启 Claude 客户端
- 重启后，在对话中即可使用本工具
# 安装后在 Claude 对话中直接使用 # 示例： 用户: 请帮我用 开源MCP工具 执行以下任务... Claude: [自动调用 开源MCP工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入："列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"__mcp__": {
"command": "npx",
"args": ["-y", "mcp-proto-okn"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
MCP Proto-OKN Server
A single Model Context Protocol (MCP) server that exposes 30+ Proto-OKN knowledge graphs through one unified interface. The server enables AI assistants (Claude, ChatGPT, GitHub Copilot, etc.) to discover graphs, inspect their schemas, query them with SPARQL, bridge identifiers across graphs, and combine results from multiple sources — all through natural-language conversation. The graphs are hosted on the Open Knowledge Network (OKN) federation platform and cataloged in the OKN Knowledge Graph Registry.
Beta: the proto-okn MCP server is in beta. We welcome feedback and bug reports via issues.
Knowledge Graph Overviews & Class Diagrams
Each link points to a chat transcript for generating an overview and a class diagram for a Proto-OKN KG.
| 🧬 Biology & Health | 🌱 Environment | ⚖️ Justice | 🛠️ Technology & Manufacturing | NASA/NIH/ARCH(*) |--------------------|---------------|-----------|-------------------------------|-------------| | biobricks-aopwiki | sawgraph | ruralkg | securechainkg | biomarkerkg | | biobricks-ice | fiokg | scales | sudokn | evoweb | biobricks-mesh | geoconnex | nikg | | gene-expression-atlas-okn | | biobricks-pubchem-annotations | spatialkg | dreamkg | | maudekg | biobricks-tox21 | hydrologykg | | | nasa-gesdisc-kg | | biobricks-toxcast | ufokn | | | nde | | spoke-genelab | wildlifekn | | | ncipidkg | | spoke-okn | climatemodelskg | | | oard-kg | | | sockg | | | pankgraph | | | | | | phaseskg | | | | | | prokn |
**() ARCH: Advancing Research Capacity in Health, NSF Proto-OKN supplemental awards.*
Features
- 🌐 Unified access — one MCP server, 30+ knowledge graphs, one endpoint
- 🔎 Graph discovery — list, filter, and search graphs by domain, entity type, or natural language
- 📐 Schema inspection — understand each graph's classes, predicates, and properties before writing queries
- 🧭 Per-graph SPARQL — query any individual graph with automatic FROM-clause injection
- 🔗 Cross-graph bridging — built-in identifier maps (Ensembl ↔ NCBI Gene ↔ Symbol; CAS, DTXSID, InChIKey; MONDO, FIPS, NAICS, …)
- 🧬 Multi-graph queries — run different SPARQL across multiple graphs in a single call and merge results
- 🌳 Ontology-driven search expansion — queries are automatically expanded using ontology hierarchies (MONDO, UBERON, HP, GO, CL, ChEBI, …) via Ubergraph, so a query for "arthritic joint disease" matches all of its subtypes without manual enumeration
- 🖼️ Schema visualization & transcripts — generate Mermaid class diagrams and chat transcripts directly from the conversation
Workflow Example
<img src="docs/images/workflow_example.svg" width="1024" alt="Workflow Example">
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Example Prompts
Once the server is connected, try these conversational prompts in your client. The assistant will pick the right graphs, write the SPARQL, and combine results for you.
- Default: query across all Proto-OKN KGs > Generate a table of all Proto-OKN Knowledge Graphs with two columns: "KG Name" and "Description." → Result
- Target a specific KG with @kg-name > @spoke-genelab: Give a high-level overview of this knowledge graph, including its main entities, relationships, and purpose.
- Save a session > Create a chat transcript.
The transcript downloads as .md or .pdf and includes the model name and version.
Use Cases
Space Flight Use Cases
- Spaceflight Missions (spoke-genelab)
- Spaceflight Gene Expression Analysis (spoke-genelab, spoke-okn)
- Spaceflight Gene Expression with Literature Analysis (spoke-genelab, spoke-okn, MCP:PubMed)
- Spaceflight Gene Expression — Disease Associations (spoke-genelab, spoke-okn, prokn, MCP:Open Targets, MCP:PubMed)
- Spaceflight Microbiome and Pathogen Analysis (spoke-genelab, spoke-okn, MCP:PubMed)
Biomedical Use Cases
- Disease Prevalence in the US (spoke-okn)
- Disease Prevalence — Socio-Economic Factors Correlation (spoke-okn)
- NIAID Data Exploration — COVID-19 Vaccine Research (nde)
- Diabetic Nephropathy Meta-Analysis (gene-expression-atlas-okn) — featured on WOBD as a worked example
- Diabetic Nephropathy Differential Expression Analysis (gene-expression-atlas-okn, ARCHS4)
- APOE Gene Info (prokn)
- Prostate Cancer Biomarkers (biomarkerkg)
- Marfan Syndrome Phenotypes (oard-kg)
- Pancreatic Acinar Cell Adhesion Genes (pankgraph)
Environmental Use Cases
- Contamination at Superfund Sites (spoke-okn)
- PFOA in Drinking Water (spoke-okn)
- Data about PFOA (spoke-okn, biobricks-toxcast)
- PFAS Environmental Health Analysis (sawgraph, spoke-okn, biobricks-ice) — featured on WOBD as a worked example
- Biological Targets for PFOA (biobricks-toxcast, biobricks-ice, biobricks-aopwiki, spoke-okn)
- PFOA Safety Profile (biobricks-ice, biobricks-aopwiki, sawgraph, spoke-okn)
- Bisphenol A Safety Profile (biobricks-ice, biobricks-aopwiki, spoke-okn)
Misc. Use Cases
Cross-Graph Demo: SPOKE, ProKN, BioBricks, SAWGraph
Video · Presentation Note: MCP URL and installation instructions have changed. Updated instructions
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Criminal and Environmental Justice
Proto-OKN Integration Opportunities
VS Code Insiders + GitHub Copilot
VS Code Insiders supports MCP in Agent mode with the GitHub Copilot extension. Use the same URL: https://apps.okn.us/okn-mcp/mcp.
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Troubleshooting
MCP server not appearing in Claude Desktop - Completely quit and restart Claude Desktop (closing the window is not enough) - For local installs, verify uvx is on PATH (which uvx); if not, use the absolute path in command
Connection errors - Check that the OKN endpoints are reachable: curl https://apps.okn.us/spoke-okn/sparql. Returns "Unknown path" when connected. - Some endpoints may have rate limits or temporary downtime
Slow or hung queries - Complex SPARQL can take time; break it into smaller parts - Ontology expansion across very broad concepts (e.g. "disease") may take several minutes
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该项目基于Python开发，提供了SPARQL查询工具，适合用于知识图谱应用，但评分略低，可能需要进一步优化
- 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
- 提供结构化工具调用接口，显著降低 AI 集成复杂度
- 支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
- 可与其他 MCP 工具组合叠加，构建完整 AI 工作站
- 轻量无侵入设计，不影响现有系统架构
- 在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
- 通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
- 将多个 MCP 工具组合使用，构建个人专属 AI 工作站
- +BSD-3-Clause 协议，可免费商用
- +标准化 MCP 协议，生态互联性强
- +与 Claude 官方生态无缝对接
- +即插即用，配置简单快捷
- −依赖 Claude 客户端，非 Claude 用户无法使用
- −MCP 协议仍在持续演进，接口可能变更
- −需要一定的配置步骤
AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。
✅ BSD 3-Clause — 宽松协议，可商用修改分发，禁止使用原作者名称进行背书宣传。
AI Skill Hub 点评：开源MCP工具 的核心功能完整，质量良好。对于Claude Desktop / Claude Code 用户来说，这是一个值得纳入个人工具库的选择。建议先在非生产环境试用，再逐步推广。
| 原始名称 | mcp-proto-okn |
| 原始描述 | 开源MCP工具：A Model Context Protocol (MCP) server that provides tools for querying SPARQL en。⭐4 · Python |
| Topics | knowledge-graphmcpmcp-serverproto-oknsparql-endpointspython |
| GitHub | https://github.com/sbl-sdsc/mcp-proto-okn |
| License | BSD-3-Clause |
| 语言 | Python |
收录时间：2026-05-23 · 更新时间：2026-05-23 · License：BSD-3-Clause · AI Skill Hub 不对第三方内容的准确性作法律背书。