mcp-second-opinion
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| XAI_API_KEY | No | API key for xAI/Grok provider. | |
| GEMINI_API_KEY | No | API key for Google Gemini provider. | |
| OPENAI_API_KEY | No | API key for OpenAI provider. | |
| ANTHROPIC_API_KEY | No | API key for Anthropic provider. | |
| MCP_SECOND_OPINION_PROFILE | No | Profile controlling which model each provider uses: flagship, balanced, or cheap. | flagship |
| MCP_SECOND_OPINION_TIMEOUT | No | Per-provider timeout in seconds. | 30 |
| MCP_SECOND_OPINION_SELF_SKIP | No | Provider key to omit from panel (openai, gemini, anthropic, grok). Useful when the host is itself one of the panelists. | |
| MCP_SECOND_OPINION_MAX_TOKENS | No | Cap on rival output length. | 2048 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ask_other_modelB | Ask a single rival LLM for a second opinion. |
| ask_the_panelA | Convene a panel of all enabled rival LLMs in parallel. Returns labeled answers from each enabled provider, with per-slot error fields for any that failed or are not configured. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clear boundaries: ask_other_model queries a single rival LLM, while ask_the_panel convenes all enabled LLMs in parallel. There is no meaningful overlap between the two modes.
Both tool names follow a consistent 'ask_<target>' pattern with distinct nouns. This makes the tool set predictable and easy to understand.
Two tools is on the thin side, but it exactly matches the server's stated purpose: get a single second opinion or a panel opinion. Each tool earns its place with no redundancy.
The core use cases of requesting a single rival model or all enabled models are fully covered. A minor gap is the absence of a way to select a specific subset of models, but that may be configuration-level rather than tool-level.