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list_providers

Retrieve available LLM providers configured in the ThinkingCap MCP server to enable parallel processing of complex research queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The asynchronous handler function for the 'list_providers' tool that returns a formatted list of available providers and currently configured agents.
    async () => {
      const providerList = Object.entries(PROVIDERS)
        .map(
          ([key, config]) =>
            `- ${key}: ${config.name} (env: ${config.envKey}, default model: ${config.defaultModel})`
        )
        .join("\n");
    
      const currentAgents = agentSpecs.join(", ");
    
      return {
        content: [
          {
            type: "text" as const,
            text: `Available Providers:\n${providerList}\n\nCurrently configured agents: ${currentAgents}\n\nTo change agents, restart the server with different arguments:\nnpx not-enough-kimis provider1:model1 provider2:model2 ...`,
          },
        ],
      };
    }
  • src/index.ts:87-109 (registration)
    Registers the 'list_providers' tool with the MCP server using server.tool, with no input schema.
    server.tool(
      "list_providers",
      {},
      async () => {
        const providerList = Object.entries(PROVIDERS)
          .map(
            ([key, config]) =>
              `- ${key}: ${config.name} (env: ${config.envKey}, default model: ${config.defaultModel})`
          )
          .join("\n");
    
        const currentAgents = agentSpecs.join(", ");
    
        return {
          content: [
            {
              type: "text" as const,
              text: `Available Providers:\n${providerList}\n\nCurrently configured agents: ${currentAgents}\n\nTo change agents, restart the server with different arguments:\nnpx not-enough-kimis provider1:model1 provider2:model2 ...`,
            },
          ],
        };
      }
    );
  • The PROVIDERS constant listing all supported LLM providers, used by the list_providers handler to generate the provider list.
    export const PROVIDERS: Record<string, ProviderConfig> = {
      openai: {
        name: "OpenAI",
        baseUrl: "https://api.openai.com/v1",
        envKey: "OPENAI_API_KEY",
        isOpenAICompatible: true,
        defaultModel: "gpt-5.1",
      },
      openrouter: {
        name: "OpenRouter",
        baseUrl: "https://openrouter.ai/api/v1",
        envKey: "OPENROUTER_API_KEY",
        isOpenAICompatible: true,
        defaultModel: "moonshotai/kimi-k2-thinking",
      },
      groq: {
        name: "Groq",
        baseUrl: "https://api.groq.com/openai/v1",
        envKey: "GROQ_API_KEY",
        isOpenAICompatible: true,
        defaultModel: "moonshotai/kimi-k2-instruct-0905",
      },
      cerebras: {
        name: "Cerebras",
        baseUrl: "https://api.cerebras.ai/v1",
        envKey: "CEREBRAS_API_KEY",
        isOpenAICompatible: true,
        defaultModel: "zai-glm-4.6",
      },
      xai: {
        name: "xAI",
        baseUrl: "https://api.x.ai/v1",
        envKey: "XAI_API_KEY",
        isOpenAICompatible: true,
        defaultModel: "grok-4-fast",
      },
      anthropic: {
        name: "Anthropic",
        baseUrl: "https://api.anthropic.com/v1",
        envKey: "ANTHROPIC_API_KEY",
        isOpenAICompatible: false,
        defaultModel: "claude-opus-4-5",
      },
      google: {
        name: "Google",
        baseUrl: "https://generativelanguage.googleapis.com/v1beta",
        envKey: "GOOGLE_API_KEY",
        isOpenAICompatible: false,
        defaultModel: "gemini-3-pro-preview",
      },
    };
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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