linux-vedaops-mcp
Governed development control plane for VedaOps projects, letting authorized agents inspect, search, patch, test, lint, and coordinate registered software without exposing a general shell.
README
Linux VedaOps MCP
linux-vedaops-mcp is the governed development control plane for VedaOps
projects on Chaz's Pop!_OS workstation.
It lets authorized agents understand, inspect, search, patch, test, lint, and coordinate registered software projects without exposing a general shell or raw filesystem proxy.
Current status
The fifteen-tool development core is implemented:
- registry and orientation:
vedaops_server_info,projects_list,project_get,project_context_get, andproject_health; - project inspection:
project_tree,project_file_read,project_search,project_git_status, andproject_git_diff; - coordination:
project_lease_acquire,project_checkpoint_create, andproject_lease_release; - implementation:
project_patch_applyandproject_task_run.
Project discovery never grants authority. The trusted operator registry lives outside every managed root, while project manifests can only narrow its grants. Read tools are path-confined and bounded, and repository-local Git configuration is treated as untrusted input. File changes and tasks require explicit granular capabilities, authenticated or controlled-launch identity, an exclusive lease, the expected Git HEAD, and durable audit evidence.
Patch input is textual unified diff only. Task argv comes only from the trusted project registry; callers cannot submit shell commands or arbitrary arguments.
Stdio and authenticated loopback Streamable HTTP transports are tested. Hosted ChatGPT access runs through a dedicated OpenAI Secure MCP Tunnel and enabled user-level systemd service.
Development
uv sync
uv run pytest -q
uv run ruff check .
Run locally over stdio:
VEDAOPS_AGENT_ID=codex uv run vedaops-mcp stdio
The HTTP entrypoint remains loopback-only. Configure either a private
VEDAOPS_HTTP_TOKENS_FILE containing distinct token-to-agent mappings, or a
single VEDAOPS_HTTP_TOKEN plus VEDAOPS_HTTP_TOKEN_IDENTITY:
uv run vedaops-mcp http
It listens on http://127.0.0.1:8765/mcp by default. Never commit credentials.
Hosted ChatGPT uses the stdio-backed Secure MCP Tunnel profile, not this loopback
HTTP entrypoint.
Operator configuration
Install config/projects.toml.example as
~/.config/vedaops/projects.toml with mode 0600, then edit the external
copy. Registry, settings, state, and credential files must remain outside every
managed repository; trusted operator files may not be symlinks.
Stable naming
- Repository:
linux-vedaops-mcp - Python package:
vedaops_mcp - Console command:
vedaops-mcp
Documents
docs/project-onboarding.md— register and safely enable a managed projectdocs/development-workflow.md— normal inspect, lease, patch, verify workflowdocs/project-extensions.md— context, tasks, adapters, and project-specific behaviorCONTEXT.md— current operational handoff and exact next actionAGENTS.md— canonical agent rulesdocs/architecture.md— boundaries and internal designdocs/security.md— threat model and controlsdocs/core-coordination.md— lease, checkpoint, and audit contractdocs/operations.md— installed service and state runbookdocs/client-setup.md— tested client connection recorddocs/tool-catalog.md— complete governed tool catalogdocs/decisions/— accepted architecture decisions
Start with the onboarding guide when adding a repository. Start with the development workflow when using an already registered project.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。