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CodeCall plugin for FrontMCP - AgentScript-based meta-tools for orchestrating MCP tools

A proxy tool that converts normal MCP servers to use lazy-loading pattern with three/four meta-tools

Dynamic MCP server toolkit for runtime toolset management with Fastify transport and meta-tools

One MCP to rule them all — a single MCP endpoint aggregating many downstream connectors behind a code-first surface of seven meta-tools.

dsh plugin: token-efficient prompt-side shim for the official MCP client — folds mcp__* tool schemas out of every assembled prompt and exposes two constant meta-tools (mcp_list / mcp_call) instead

Lightweight MCP proxy that consolidates multiple MCP servers into single meta-tools

MCP orchestrator — connect unlimited Model Context Protocol servers through 8 meta-tools. Progressive tool discovery keeps your AI agent's context window small.

LangChain.js tools for Agent402.Tools (the applied layer of Agentic Finance): turn its catalog - 500+ strong: 400+ pay-per-call tools (x402 or MPP) + 100+ skill packs (browser, web search, OCR, PDFs, memory) - into LangChain tools via four meta-tools (fin

OpenClaw plugin for Ofiere PM - 18 meta-tools covering tasks, agents, projects, scheduling, knowledge, workflows, notifications, memory, prompts, constellation, space file management, execution plan builder, SOP management, agent brain, talent management,

The transport-agnostic half of Bevel's MCP surface: UTCP manual registration, tool discovery, MCP listing/dispatch and the code-mode meta-tools. Shared by the hosted proxy and the local stdio server.

Meta tools for Node/Javascript

Lazy MCP proxy: exposes get_mcp_tools / call_mcp_tool meta-tools that load backend MCP servers on demand, so only two tool schemas are injected into the model context.

Lightweight, composable agent orchestration for autonomous agents. Multi-agent primitives (spawn, defer, MCP meta-tools), single-gate governance via an optional bareguard peer, cross-platform shell tools, MCP bridge. Zero required runtime deps.

Serve multiple stdio MCP servers from one container: Claude-Code-style mcpServers config, path-based routing, hub meta-tools, and CIMD-first OAuth 2.1 + API tokens for ChatGPT, Claude and any Streamable-HTTP MCP client.

FrontMCP plugin: serve a customer's OpenAPI spec as skill bundles (signed, OpenAPI-Overlay-based) with hidden per-operation tools mediated by three meta-tools (search_skill / load_skill / run_workflow — the last runs an enclave-sandboxed AgentScript that

OpenAI Agents SDK tools for Agent402.Tools (the applied layer of Agentic Finance): turn its catalog - 500+ strong: 400+ pay-per-call tools (x402 or MPP) + 100+ skill packs (browser, web search, OCR, PDFs, memory) - into Agent tools via four meta-tools (fi

Google ADK (Agent Development Kit) tools for Agent402.Tools (the applied layer of Agentic Finance): turn its catalog - 500+ strong: 400+ pay-per-call tools (x402 or MPP) + 70+ skill packs - into ADK FunctionTool instances via four meta-tools (find/route/c

Vercel AI SDK tools for Agent402.Tools (the applied layer of Agentic Finance): turn its catalog - 500+ strong: 400+ pay-per-call tools (x402 or MPP) + 70+ skill packs (browser, web search, OCR, PDFs, memory) - into AI SDK tools via four meta-tools (find/r

MCP proxy that collapses 50+ downstream tools into 4 meta-tools and compresses tool outputs (HTML, base64, huge JSON) so AI agents spend far fewer context tokens - works with any MCP client, any model.