ai.proxyllm/proxyllm-mcp
NPM · PROXYLLM-MCP · SCANNED SEP 20
OpenAI-compatible LLM gateway: models, savings math, key provisioning, autonomous email-OTP signup
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 96 dependencies flagged as unhealthy. 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 67 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 597 tokens (~66/item across 9 items; 9 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 13% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the ai.proxyllm/proxyllm-mcp server?
ai.proxyllm/proxyllm-mcp runs locally as an npm package, launched with npx -y proxyllm-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · proxyllm-mcp
claude mcp add ai-proxyllm-proxyllm-mcp -- npx -y proxyllm-mcp
{
"mcpServers": {
"ai-proxyllm-proxyllm-mcp": {
"command": "npx",
"args": [
"-y",
"proxyllm-mcp"
]
}
}
} {
"servers": {
"ai-proxyllm-proxyllm-mcp": {
"command": "npx",
"args": [
"-y",
"proxyllm-mcp"
]
}
}
} codex mcp add ai-proxyllm-proxyllm-mcp -- npx -y proxyllm-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-proxyllm-proxyllm-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"proxyllm-mcp"
],
"enabled": true
}
}
} openclaw mcp add ai-proxyllm-proxyllm-mcp --command npx --arg -y --arg proxyllm-mcp
mcp_servers:
ai-proxyllm-proxyllm-mcp:
command: "npx"
args: ["-y", "proxyllm-mcp"] {
"McpServers": {
"ai-proxyllm-proxyllm-mcp": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"proxyllm-mcp"
]
}
}
} assistant mcp add ai-proxyllm-proxyllm-mcp -t stdio -c npx -a -y proxyllm-mcp
{
"mcpServers": {
"ai-proxyllm-proxyllm-mcp": {
"command": "npx",
"args": [
"-y",
"proxyllm-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.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 −3
- Stability: pass → 0.80 functional
- 16 Sept 26 +1
- Stability: 0.97 → pass security
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 −3
- Stability: pass → 0.77 functional
- 8 Sept 26 +1
- Stability: 0.97 → pass security
- 6 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
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 20 Sept 2026 · Analysed npm/proxyllm-mcp@1.0.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
proxyllm_account Account state (poll until paid) ~59
GET /v1/organizations/me. Works while unpaid: plan is "free" plus a payment block until the operator activates the membership, then "pro". Poll this after handing over the checkout link.
| Name | Type | Req | Description |
|---|---|---|---|
| account_token | string | – | – |
No output schema declared.
No examples provided.
proxyllm_create_routing_key Create a routing key ~103
Mints a pllm_ routing key (returned once) for OPENAI_API_KEY-style use against the gateway. Optionally wires the provider chain in the same call; discover wireable lane ids with proxyllm_list_routing_keys include_lanes.
| Name | Type | Req | Description |
|---|---|---|---|
| account_token | string | – | – |
| label | string | – | – |
| mode | string | – | – |
| monthly_budget_usd | number | – | – |
| providers | array | – | – |
No output schema declared.
No examples provided.
proxyllm_introspect_key Introspect a routing key ~57
GET /v1/key: the key's provider lanes, reachable models, whether a Codex subscription backs it, and monthly budget state. Authed by the routing key itself.
| Name | Type | Req | Description |
|---|---|---|---|
| routing_key | string | – | – |
No output schema declared.
No examples provided.
proxyllm_list_models List models ~50
OpenAI-shaped model list from the gateway. No auth required; with a routing key it reflects that key's lanes, including the live Codex catalog.
| Name | Type | Req | Description |
|---|---|---|---|
| routing_key | string | – | – |
No output schema declared.
No examples provided.
proxyllm_list_routing_keys List routing keys (and wireable lanes) ~64
Lists the account's routing keys. include_lanes adds the wireable lanes (connected Codex sessions, bridges, saved provider keys) with the ids provider chains reference.
| Name | Type | Req | Description |
|---|---|---|---|
| account_token | string | – | – |
| include_lanes | boolean | – | – |
No output schema declared.
No examples provided.
proxyllm_savings_calculator LLM spend: API vs subscription math ~76
Given a monthly OpenAI API bill in USD, returns the ChatGPT/Codex subscription tier that absorbs that workload through ProxyLLM Codex Hosted, the flat total (subscription + $129 fee), and the monthly savings. Free, no auth.
| Name | Type | Req | Description |
|---|---|---|---|
| monthly_openai_bill_usd | number | yes | – |
No output schema declared.
No examples provided.
proxyllm_signup Create a ProxyLLM account (email OTP) ~86
Starts autonomous account creation: a 6-digit code is emailed to the operator's inbox (no captcha, no browser). New accounts are unpaid and are removed after 48 hours unless a human activates the membership. Follow with proxyllm_verify_signup.
| Name | Type | Req | Description |
|---|---|---|---|
| string | yes | The human operator's email | |
| source | string | – | Attribution slug; defaults to mcp |
No output schema declared.
No examples provided.
proxyllm_usage 30-day usage summary ~30
GET /v1/organizations/usage for the account.
| Name | Type | Req | Description |
|---|---|---|---|
| account_token | string | – | – |
No output schema declared.
No examples provided.
proxyllm_verify_signup Verify the emailed code, receive the account token ~72
Exchanges the 6-digit code for an sk_ account token. The token is returned exactly once: store it (PROXYLLM_ACCOUNT_TOKEN). While the account is unpaid the response carries a checkout link to relay to the operator.
| Name | Type | Req | Description |
|---|---|---|---|
| code | string | yes | – |
| string | yes | – |
No output schema declared.
No examples provided.
What is the ai.proxyllm/proxyllm-mcp server?
ai.proxyllm/proxyllm-mcp is listed in the public MCP registry as ai.proxyllm/proxyllm-mcp. OpenAI-compatible LLM gateway: models, savings math, key provisioning, autonomous email-OTP signup. This page covers its npm package (proxyllm-mcp).
Is the ai.proxyllm/proxyllm-mcp server safe to use?
ai.proxyllm/proxyllm-mcp scores 79 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the ai.proxyllm/proxyllm-mcp server expose?
ai.proxyllm/proxyllm-mcp exposes 9 tools: proxyllm_savings_calculator, proxyllm_list_models, proxyllm_introspect_key, proxyllm_signup, proxyllm_verify_signup, and 4 more. Their descriptions and schemas cost roughly 597 tokens of context every time the server is loaded.
Is the ai.proxyllm/proxyllm-mcp server still maintained?
ai.proxyllm/proxyllm-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the ai.proxyllm/proxyllm-mcp server under?
ai.proxyllm/proxyllm-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.