MindBridge MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GOOGLE_API_KEY | No | Your Google AI API key | |
| OPENAI_API_KEY | No | Your OpenAI API key | |
| OLLAMA_BASE_URL | No | Ollama instance URL | http://localhost:11434 |
| DEEPSEEK_API_KEY | No | Your DeepSeek API key | |
| ANTHROPIC_API_KEY | No | Your Anthropic API key | |
| OPENROUTER_API_KEY | No | Your OpenRouter API key | |
| OPENAI_COMPATIBLE_API_KEY | No | API key for OpenAI-compatible services | |
| OPENAI_COMPATIBLE_API_MODELS | No | Comma-separated list of available models for OpenAI-compatible services | |
| OPENAI_COMPATIBLE_API_BASE_URL | No | Base URL for OpenAI-compatible services |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| getSecondOpinionC | Get responses from various LLM providers |
| listProvidersA | List all configured LLM providers and their available models |
| listReasoningModelsB | List all available models that support reasoning capabilities |
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 3 tools
Each tool has a clearly distinct purpose: getSecondOpinion retrieves LLM responses, listProviders shows configured providers and models, and listReasoningModels specifically lists models with reasoning capabilities. There is no overlap in functionality, making tool selection unambiguous.
The naming is mostly consistent with a verb_noun pattern (getSecondOpinion, listProviders, listReasoningModels), but getSecondOpinion uses camelCase while the others use a more descriptive phrase-based style. This minor deviation slightly affects consistency.
With only 3 tools, the server feels thin for a domain involving LLM interactions, as it lacks operations like configuring providers, managing models, or performing other common tasks. However, the tools cover basic listing and querying functions, making it borderline appropriate.
The toolset is significantly incomplete for an LLM interaction server. It lacks core operations such as adding or removing providers, configuring models, or performing advanced queries beyond getSecondOpinion. This will likely cause agent failures when trying to manage or customize the LLM setup.