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    MCP server that gives AI agents full access to ITASCA PFC - browse documentation, run simulations, capture plots, all through natural conversation. Built on the Model Context Protocol, pfc-mcp turns any MCP-compatible AI client (Claude Code, Codex CLI, Gemini CLI, OpenCode, toyoura-nagisa, etc.) into a PFC co-pilot that can look up commands, execute scripts, monitor long-running simulations.
    7
    225
    MIT
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    quality
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    Enables ChatGPT Developer Mode to operate as a local coding agent by connecting to your own repository through MCP, allowing it to read, write, search, edit files, run safe verification commands, and manage handoff context for continued work.
    15
    122 npm
    MIT
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    Enables connecting Blender 3D to AI assistants via MCP, allowing prompt-driven 3D modeling, scene editing, and real-time manipulation. Supports object/material control, scene inspection, viewport screenshots, and integrations with Poly Haven, Sketchfab, and AI model generators.
    22
    MIT
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    MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.
    13
    95 npm
    24
    MIT
  • A
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    A client library for connecting to and interacting with MCP servers hosted on smcphub.com, allowing users to find, publish, and call tools on MCP servers.
    2
    17 npm
    MIT
  • F
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    Provides access to Lark Bitable through the Model Context Protocol, allowing users to interact with Bitable tables using predefined tools.
    3
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    Minimal MCP server allowing Python functions to be served as MCP tools over stdio or HTTP, with a built-in client for connecting to MCP servers.
    76 PyPI
    2
    Apache 2.0
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    Enables connecting any number of OpenAPI, GraphQL, and MCP servers to MCP clients through a single local endpoint, with a web UI for management, unified tool exposure, and policy controls.
    1
    Apache 2.0
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    Enables Claude to inspect and edit Cavalry scenes by reading layers and connections, executing JavaScript, connecting nodes, changing Duplicator distributions, and rendering frames for visual feedback.
    MIT
  • F
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    Enables agents and MCP-compliant clients to run multi-language code in a deterministic, zero-dependency sandbox where AST security analysis blocks dangerous syscalls and isolated execution telemetry is captured. It exposes this through JSON-RPC 2.0 stdio, letting frameworks like LangGraph, CrewAI, Cursor, and Claude Desktop validate and execute agent-generated code safely.
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