OrcaRouter
NPM · @ORCAROUTER/MCP · SCANNED AUG 3
Browse 160+ LLM models and live pricing — no API key needed for catalog. Add key to route chat.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security86
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 68 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability66
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 802 tokens (~200/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · @orcarouter/mcp
claude mcp add continuum-ai-corp-orcarouter-mcp -- npx -y @orcarouter/mcp
codex mcp add continuum-ai-corp-orcarouter-mcp -- npx -y @orcarouter/mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"continuum-ai-corp-orcarouter-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@orcarouter/mcp"
],
"enabled": true
}
}
} openclaw mcp add continuum-ai-corp-orcarouter-mcp --command npx --arg -y --arg @orcarouter/mcp
mcp_servers:
continuum-ai-corp-orcarouter-mcp:
command: "npx"
args: ["-y", "@orcarouter/mcp"] {
"mcpServers": {
"continuum-ai-corp-orcarouter-mcp": {
"command": "npx",
"args": [
"-y",
"@orcarouter/mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Aug 26 +47
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: unverified → excellent ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Licence: MIT functional
- 31 Jul 26 −5
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −20
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 27 Jul 26 44
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/@orcarouter/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 94 packages
94 packages in the resolved dependency tree · 94 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
orcarouter_chat ~337
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.
| Name | Type | Req | Description |
|---|---|---|---|
| max_tokens | integer | — | Maximum tokens to generate (default 10000). Automatically translated to max_completion_tokens for OpenAI reasoning models. |
| model | string | — | Model to call. Defaults to `orcarouter/auto` — your workspace's seeded auto-router. Use `orcarouter/<name>` for other workspace routers, or `<provider>/<model>` for direct upstream selection (e.g. `o… |
| models | array | — | Optional fallback chain. Models are tried in order if the primary fails. Max 5 entries including the primary. |
| prompt | string | yes | User message to send (single-turn). |
| system_prompt | string | — | Optional system prompt prepended to the conversation. |
| temperature | number | — | Sampling temperature (default 0.7). |
No output schema declared.
No examples provided.
orcarouter_model_card ~170
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.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Model ref in `provider/slug` form (e.g. `openai/gpt-4o-mini`, `anthropic/claude-haiku-4.5`). Use the exact `id` value returned by orcarouter_models_list. |
No output schema declared.
No examples provided.
orcarouter_models_list ~179
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.
| Name | Type | Req | Description |
|---|---|---|---|
| capability | string | — | Filter to models supporting this capability. |
| min_context | integer | — | Filter to models with context window at least this large (tokens). |
| provider | string | — | Provider id (lowercase, e.g. 'openai', 'anthropic'). Get the full list via orcarouter_providers_list. |
No output schema declared.
No examples provided.
orcarouter_providers_list ~116
List all model providers on OrcaRouter with their `provider_id`, human-readable `display_name`, `icon_url`, and `model_count`. Call this first to discover valid provider ids (e.g. 'openai', 'anthropic', 'google', 'qwen', 'deepseek') which you can then pass to orcarouter_models_list as the `provider` filter. Takes no parameters and returns the same list on every call until the deployment's catalog changes. Read-only, no API key required.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.