mcp-consultant
Provides integration with OpenAI's API, enabling AI agents to use OpenAI models (like gpt-5.2) for reasoning and code generation tasks.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-consultantExplain the difference between GPT-5.2 and Gemini 3 Pro"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-consultant
Simplified fork of PAL MCP Server for uctoteka project. Supports only Gemini and OpenAI providers with predefined model configurations.
Features
Gemini CLI integration:
gemini-3-pro-preview(default),gemini-3-flash-preview(fast)OpenAI/Codex integration:
gpt-5.2withxhighthinking modeRemoved providers: Azure OpenAI, XAI, DIAL, OpenRouter, Custom API
Fixed model mode: No "auto" mode - models are explicitly configured
MCP protocol: Full Model Context Protocol support for Claude Code
Related MCP server: geminicli-mcp
Installation
cd /home/pavel/vyvoj_sw/mcp-consultant
pip install --break-system-packages -e .Configuration
CLI Clients
Located in conf/cli_clients/:
Gemini (gemini.json):
{
"name": "gemini",
"command": "gemini",
"roles": {
"default": {"role_args": ["--model", "gemini-3-pro-preview"]},
"flash": {"role_args": ["--model", "gemini-3-flash-preview"]}
}
}Codex (codex.json):
{
"name": "codex",
"command": "codex",
"additional_args": ["exec", "--json", "--model", "gpt-5.2"],
"roles": {
"default": {"role_args": ["--config", "model_reasoning_effort=\"xhigh\""]}
}
}Environment Variables
# Required for actual API calls (optional for listmodels/version)
export GEMINI_API_KEY="your_key_here"
export OPENAI_API_KEY="your_openai_key_here"Usage
Standalone
mcp-consultantVia Claude Code
The server is registered in uctoteka-clink-consult plugin at:
/home/pavel/vyvoj_sw/uctoteka_app/claude-marketplace/uctoteka-clink-consult/mcp/pal.mcp.jsonConfiguration:
{
"mcpServers": {
"pal": {
"command": "/home/pavel/.local/bin/mcp-consultant",
"env": {
"CLI_CLIENTS_CONFIG_PATH": "${CLAUDE_PLUGIN_ROOT}/cli_clients",
"DEFAULT_MODEL": "gemini-3-pro-preview"
}
}
}
}Available Tools
clink- Bridge to external AI CLIs (Gemini, Codex)listmodels- List available models per providerversion- Show server version and configuration
Model Comparison
Model | Thinking | Latence | Use case |
| high | ~47s | Complex analysis |
| - | ~13s | Quick queries |
| xhigh | ~31s | Max reasoning, code + web |
Development
Project structure:
mcp-consultant/
├── clink/ # CLI integration (agents, parsers, registry)
├── providers/ # Model providers (Gemini, OpenAI)
├── tools/ # MCP tools (clink, listmodels, version)
├── conf/ # Configuration files
├── systemprompts/ # System prompts for CLIs
├── server.py # Main MCP server
├── config.py # Configuration constants
└── pyproject.toml # Package definitionOriginal project: PAL MCP Server
Fork changes:
Removed Azure OpenAI, XAI, DIAL, OpenRouter, Custom providers
Fixed DEFAULT_MODEL to
gemini-3-pro-previewDisabled auto mode (IS_AUTO_MODE = False)
Server starts without API keys (for listmodels/version)
Simplified to 2 CLI clients: gemini, codex
Version
1.0.0 - Initial fork for uctoteka
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Flicense-qualityDmaintenanceAn MCP server that wraps the Gemini CLI to provide tools for executing prompts, managing chat sessions, and accessing CLI extensions. It supports both local stdio and remote SSE transports for flexible integration with MCP clients.Last updated1
- AlicenseAqualityBmaintenanceA stateless MCP server that wraps the headless Gemini CLI, providing tools to send prompts to Google's Gemini models and receive text responses. It supports both simple prompts and prompts with contextual information.Last updated2MIT
- FlicenseAqualityDmaintenanceWraps the Gemini CLI as an MCP server, enabling AI tools to perform Gemini queries, interactive sessions, and extension management via a unified tool.Last updated11
- Alicense-qualityCmaintenanceMCP server that provides tools to interact with the LiteLLM proxy API, enabling LLM completions, embeddings, image generation, and admin operations.Last updated21MIT
Related MCP Connectors
MCP server for AI dialogue using various LLM models via AceDataCloud
MCP server for Gainium — manage trading bots, deals, and balances via AI assistants
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/maxparez/mcp-consultant'
If you have feedback or need assistance with the MCP directory API, please join our Discord server