@agentutility/mcp-model-router
Advanced tools
| /** Auto-generated by scripts/generate-mcp-clusters.mjs. Do not edit by hand. */ | ||
| export const CLUSTER_SLUG = "model-router"; | ||
| export const VERSION = "0.2.2"; | ||
| export const VERSION = "0.2.3"; | ||
| export const TOOLS = [ | ||
@@ -8,3 +8,3 @@ { | ||
| "http_name": "kimi-k3-agent-plan", | ||
| "description": "(0.08 USDC/call) Turn a goal into an execution-ready structured agent plan using Venice's exact Kimi K3 model. Send a goal plus optional context and constraints; receive objective, assumptions, up to six dependency-ordered steps, acceptance tests, risks, and a first action as JSON. Input is bounded and the primary output is capped at 640 tokens. Use it for agent task decomposition, implementation plans, workflow planning, acceptance criteria, or a Kimi K3 planning API.", | ||
| "description": "(0.08 USDC/call) Turn a goal into an execution-ready structured agent plan using Venice's exact Kimi K3 model. Send a goal plus optional context and constraints; receive objective, assumptions, dependency-ordered steps, acceptance tests, risks, and a first action as JSON. Input is bounded and the output is capped at 1,024 tokens. Use it for agent task decomposition, implementation plans, workflow planning, acceptance criteria, or a Kimi K3 planning API.", | ||
| "method": "POST", | ||
@@ -11,0 +11,0 @@ "input_schema": { |
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| { | ||
| "name": "@agentutility/mcp-model-router", | ||
| "mcpName": "ai.agentutility/mcp-model-router", | ||
| "version": "0.2.2", | ||
| "version": "0.2.3", | ||
| "description": "MCP server for the @agentutility model-router cluster — pay-per-call x402 tools, no API keys, USDC on Base.", | ||
@@ -6,0 +6,0 @@ "license": "MIT", |
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@@ -53,3 +53,3 @@ # @agentutility/mcp-model-router | ||
| |---|---| | ||
| | `kimi-k3-agent-plan` | (0.08 USDC/call) Turn a goal into an execution-ready structured agent plan using Venice's exact Kimi K3 model. Send a goal plus optional context and constraints; receive objective, assumptions, up to six dependency-ordered steps, acceptance tests, risks, and a first action as JSON. Input is bounded and the primary output is capped at 640 tokens. Use it for agent task decomposition, implementation plans, workflow planning, acceptance criteria, or a Kimi K3 planning API. | | ||
| | `kimi-k3-agent-plan` | (0.08 USDC/call) Turn a goal into an execution-ready structured agent plan using Venice's exact Kimi K3 model. Send a goal plus optional context and constraints; receive objective, assumptions, dependency-ordered steps, acceptance tests, risks, and a first action as JSON. Input is bounded and the output is capped at 1,024 tokens. Use it for agent task decomposition, implementation plans, workflow planning, acceptance criteria, or a Kimi K3 planning API. | | ||
| | `kimi-k3-chat` | (0.05 USDC/call) Call Venice's Kimi K3 model through a flat-price x402 endpoint with no Venice account or API key. Send a prompt plus an optional system message, temperature, and max_tokens. This endpoint invokes the exact kimi-k3 upstream model, caps prompts at 8,000 characters and output at 768 tokens, and returns the model name and token usage when supplied by Venice. Use it for Kimi K3 chat, bounded agent reasoning, coding questions, extraction, or a pay-per-call Kimi API. | | ||
@@ -78,2 +78,2 @@ | `llm-cost-estimate` | (0.005 USDC/call) LLM cost estimate API, token cost estimate endpoint, and token cost calculator for comparing inference cost across models before you run a prompt. Send input_tokens and output_tokens (or raw text, auto-estimated at roughly 4 characters per token) plus a list of model names, and get a per-model price breakdown from a built-in snapshot price table, with the cheapest known model called out. Pass price_overrides to price your own negotiated rates or a model missing from the table instead of getting a guess. The table is stamped with an as_of date so you know how fresh the snapshot is. Use it as a token cost calculator, a model price compare tool, or a pre-flight budget check before an LLM run or agent workflow. | | ||
| **Version:** 0.2.2 · **License:** MIT | ||
| **Version:** 0.2.3 · **License:** MIT |
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AI-detected potential code anomaly
Supply chain riskAI has identified unusual behaviors that may pose a security risk.
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