Side-by-Side Model Context Protocol Comparison
Orcarouter Mcp Server vs Hashnet Mcp Js
In-depth architectural comparison of the Orcarouter Mcp Server and Hashnet Mcp Js MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Orcarouter Mcp Server
Aggregators · Local stdio
Quality: 64/100 (Good) | Auth: API Key required
Hashnet Mcp Js
Aggregators · Local stdio
Quality: 59/100 (Good) | Auth: API Key required
Verdict Summary: Choose Orcarouter Mcp Server if you need specialized Aggregators tools running via a local process. Choose Hashnet Mcp Js if your workspace requires Aggregators integration with local subprocess execution. Both servers can be configured concurrently in your client's
mcpServers manifest.Which MCP Server Should You Choose?
Choose Orcarouter Mcp Server when:
- You need dedicated capabilities in the Aggregators domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
- You have access to required keys:
ORCAROUTER_API_KEY, ORCAROUTER_BASE_URL, ORCAROUTER_REQUEST_TIMEOUT. - Primary tools included: orcarouter_chat, orcarouter_models_list, orcarouter_model_card.
Choose Hashnet Mcp Js when:
- You need dedicated capabilities in the Aggregators domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: API Key required (Freemium).
- You have access to required keys:
REGISTRY_BROKER_API_URL, REGISTRY_BROKER_API_KEY, BROKER_REQUEST_TIMEOUT_MS, MCP_TRANSPORT, MCP_HOST, MCP_PORT, MCP_ALLOWED_ORIGINS, MCP_SERVER_BEARER_TOKEN.
Feature & Specification Comparison
Tools & Capabilities Breakdown
Orcarouter Mcp Server Tools (4)
orcarouter_chat
Send a single-turn chat request to OrcaRouter and return the assistant's response text. Default model is the workspace's auto-router. Use `orcarouter/<name>` for other routers or `<provider>/<model>` for direct calls. For OpenAI reasoning models (gpt-5/o1/o3/...), max_tokens is automatically routed to max_completion_tokens at the wire level. The optional `models` array sets a fallback chain — the primary `model` is tried first, then each entry on failure (5 entries total max, including the primary). Errors are returned as text content with isError:true; common cases include missing API key, rate limits, and upstream provider outages. Requires ORCAROUTER_API_KEY.
orcarouter_models_list
List LLM models in the OrcaRouter catalog. Each entry includes id, name, description, owned_by, context_length, supported_endpoint_types, and pricing (both per-token and per-million tokens). Filter by `provider`, `capability`, or `min_context` — filters compose (all conditions must match) and are applied server-side. Discover valid provider ids first with orcarouter_providers_list. Returns the full catalog when called without filters. Read-only, no API key required.
orcarouter_model_card
Get detailed information about a single model — display name, long description, pricing (per-call and per-million tokens), context window, max output, modalities (input/output), supported endpoints, latency percentiles (p50/p95), and release date. Use this when you already know the model id and want full details; for browsing or filtering across many models use orcarouter_models_list instead. Returns isError:true with a clear hint when the id is not found. Read-only, no API key required.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Orcarouter Mcp Server Configuration
Hashnet Mcp Js Configuration
Frequently Asked Questions
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