Generate Custom MCPs
This Meta MCP Server, developed by David Montgomery, enables AI assistants to dynamically create customized MCP servers. It utilizes the Model Context Protocol SDK to manage tools and resources, automating the creation of directories and files for new servers. The implementation focuses on flexibility, allowing users to specify the structure and content of generated servers. By abstracting the complexities of server setup, this tool streamlines the process of creating specialized MCP servers for various AI applications. It is particularly useful for developers and researchers who need to rapidly prototype or deploy custom MCP servers tailored to specific AI tasks or integrations.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/dmontgomery40/meta-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Generate Custom MCPs from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.