#provider

Voxta provider that enables communication with Model Context Protocol (MCP) servers

A real-time cryptocurrency data provider for Model Context Protocol servers.

mcp server for fetching available llm models

Custom MCP Server to integrate with tools and run inside a n8n instance

Coordination protocol for real-world tasks (cleaning, plumbing, painting, gardening, repair) in the Netherlands. AI agents create tasks via natural language through POST /do endpoint. AstraNL handles provider matching, transparent pricing, Stripe Connect escrow (99% to provider, 1% AstraNL fee), evidence chain, dispute resolution. Free first 3 tasks per agent. KvK 88449335, EU AI Act compliant. Supports 10 languages.

MCP server that provides code context and analysis for AI assistants. Extracts directory structure and code symbols using WebAssembly Tree-sitter parsers with Zero Native Dependencies.

rival-mcp MCP server for querying AI model comparison data from rival.tips This server lets AI coding assistants — Claude Code, Cursor, Windsurf, and any MCP-compatible client — natively query model benchmarks, pricing, capabilities, and side-by-side comparisons without leaving your editor. Quick Start npx rival-mcp No API key required. All data is served from the public rival.tips API. Configuration Claude Code Add to your .claude/settings.json (project-level) or ~/.claude/settings.json (global): { "mcpServers": { "rival": { "command": "npx", "args": ["-y", "rival-mcp"] } } } Claude Desktop Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows): { "mcpServers": { "rival": { "command": "npx", "args": ["-y", "rival-mcp"] } } } Cursor Add to your Cursor MCP settings (.cursor/mcp.json): { "mcpServers": { "rival": { "command": "npx", "args": ["-y", "rival-mcp"] } } } Windsurf Add to your Windsurf MCP config: { "mcpServers": { "rival": { "command": "npx", "args": ["-y", "rival-mcp"] } } } Available Tools list-models List all AI models with optional filtering. Parameters: Parameter Type Description provider string (optional) Filter by provider: OpenAI, Anthropic, Google, Meta, Mistral, etc. category string (optional) Filter by category: flagship, reasoning, coding, small, free, image-gen capability string (optional) Filter by capability: chat, code, vision, image-gen, function-calling q string (optional) Free-text search across name, ID, provider, and description Example prompts: "List all Anthropic models" "Show me free models" "What models support vision?" get-model Get detailed information about a specific model — benchmarks, pricing, capabilities, unique features, and provider availability. Parameters: Parameter Type Description id string (required) Model ID, e.g. gpt-4.1, claude-3.7-sonnet, gemini-2.5-pro Example prompts: "Get details on claude-3.7-sonnet" "What are the benchmarks for gpt-4.1?" compare-models Compare 2-3 models side by side — benchmarks, pricing, capabilities, and shared challenges. Parameters: Parameter Type Description models string (required) Comma-separated model IDs (2-3). Example: gpt-4.1,claude-3.7-sonnet Example prompts: "Compare GPT-4.1 vs Claude 3.7 Sonnet" "How does Gemini 2.5 Pro stack up against GPT-4.1 and Claude Sonnet?" search-models Search for models by name, description, or capability when you don't know the exact model ID. Parameters: Parameter Type Description query string (required) Search query, e.g. vision, cheap coding, fast reasoning Example prompts: "Find models good at coding" "Search for cheap reasoning models" Development # Install dependencies npm install # Run in development mode npm run dev # Build for production npm run build # Run the built server npm start How It Works This MCP server communicates over stdio (standard input/output) using the Model Context Protocol. When an AI assistant needs model comparison data, it calls the appropriate tool, which fetches data from the rival.tips public API and returns structured JSON. The server exposes no resources or prompts — only tools. All data is read-only and publicly available. Data Source All model data comes from rival.tips, an AI model comparison platform featuring: 60+ AI models with benchmarks, pricing, and capability data Side-by-side comparisons with shared challenge responses Community-driven AI duel voting and rankings Pre-generated showcase responses across coding, creative, and reasoning tasks License MIT

## Agent Integration (API) Bilarna exposes two agent-callable endpoints: **Discover providers** (no contact required): `POST https://api.bilarna.com/api/agent/match?api-version=1.0` Body: `{ "need": "...", "budget_max": 5000, "country": "US", "category": "..." }` **Submit a service request** (creates a lead with buyer contact): `POST https://api.bilarna.com/api/agent/request?api-version=1.0` Required: `need`, `contact_name`, `email` Optional: `business_id`, `phone`, `budget_max`, `country`, `category` Full schema: `https://bilarna.com/agent-manifest.json`

Read-only MCP server for U.S. dental practice intelligence. Four tools cover NPI lookup, multi-field provider search, DSO chain affiliation, and territory market summaries across 41 states plus DC. Authenticate with an API key (Bearer) for subscription pricing, or pay per query via x402 USDC micropayments on Base mainnet. Every response carries a citation envelope with source attribution, snapshot date, and confidence score.

A structured catalog of 100k+ US professional-services firms