目录 / ModelBound MCP Server
MCP
需 API Key
未评级
已上架
ModelBound MCP Server
ModelBound is a platform to author, test, and govern AI context specs (system prompts, rules, skills, MCP) across teams. AI context files (system prompts, rules, skills, MCP configs) are scattered across repos, IDEs, and platforms with no version control, testing, or governance — so teams ship brittle agents and waste tokens on bloated, untested context. ModelBound gives teams one place to author, test, and govern all of it across Claude, Cursor, Copilot, Bedrock, and beyond.
该来源不提供完整文件导出(国内平台多为平台内托管),仅存元数据与原链
接入信息
- 传输形态
- http
- 鉴权方式
- 需 API Key(需要配置:MODELBOUND_API_KEY)
- 端点
https://modelbound.run.tools
该服务需要凭证,请按官方文档申请后替换占位符
{
"mcpServers": {
"ModelBound MCP Server": {
"headers": {
"Authorization": "Bearer \u003cYOUR_KEY\u003e"
},
"url": "https://modelbound.run.tools"
}
}
}
能力清单
| 工具 | 说明 |
|---|---|
| create_file | Create a new context file on ModelBound |
| get_file | Get the full content of a specific context file by ID |
| list_files | List context files in your ModelBound library |
| search_files | Search context files by keyword |
| search_all | Search across all ModelBound content (files, agents, packs, corpora) |
| optimize_tokens | Run AI-powered token compression on context files (30-60% reduction) |
| scan_file_security | Security scan for prompt/context files (prompt injection, secrets, etc.) |
| get_context_health | Get health scores, staleness, and size warnings for all context files |
| get_optimized_context | Retrieve context files ranked by relevance within a token budget |
| audit_tool_tokens | Report the token footprint of all enabled MCP tool definitions |
| estimate_conversation_cost | Estimate cumulative conversation cost and recommended reset points |
| list_skills | List portable ModelBound Skills |
| get_skill | Get a full Skill bundle including SKILL.md and bundled files |
| create_corpus | Create a new RAG corpus for knowledge base search |
| search_corpus | Search a RAG corpus using hybrid keyword + vector retrieval |
| ask_corpus | Ask a natural-language question grounded in a RAG corpus |
| start_thread | Start a new adaptive conversation thread |
| append_message | Append a message to an existing thread |
| get_thread_window | Get the current context window for a thread |
纠错与举报(发现条目失效、署名有误或涉及侵权?)
提交举报 / 纠错
侵权举报经核验成立后,我们会即时下线该条目并删除已存的内容副本。