pulsemcp Safe content atomic mcp-remote

AI Meta Tool Creator

AI Meta MCP Server enables AI agents to dynamically create and execute custom tools through a meta-function architecture. Built with TypeScript and the Model Context Protocol SDK, it provides a secure sandbox for running JavaScript, Python, or shell code defined at runtime. The server includes persistent storage for tools, allowing AI to build up a library of functions that can be listed, updated, or deleted. With configurable security controls for different execution environments, it's ideal for AI agents that need to extend their capabilities programmatically without requiring developer intervention for each new tool.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/alxspiker/ai-meta-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve AI Meta Tool Creator 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"