MCP100 IndexMCP Server
WatchlistPackage

Verlon MCP

by Verlon AI

Reviewed October 5, 2026

MCP Server

Watchlist tracking

Reviewed for relevance and future tracking value.

MCP100 Assessment

Watchlist / Tracking

Why we’re tracking it

Follow-up value is specific to Verlon infrastructure gates, logs and opt-in model switching: Does the write flag remain required for switch_model as the planned mutation surface grows?

Reviewed · Documentation review; complete setup workflow not independently tested

Best fit

Configure and inspect LLM routing, quality/cost tracking, experiments and runtime gates from an MCP client.

What we know

MCP surface for Verlon's provider-neutral LLM gateway, experiments, logs/recommendations and control-plane configuration.

Maintenance / activity evidence

  • @verlon-ai/mcp 0.4.1 published 2026-09-13T05:04:45.501Z

Tracking evidence observed Oct 5, 2026. These dated signals do not establish current maintenance. Reviewed enrichment confidence: high.

Verification gaps / watch-outs

  • Installation and comprehensive security have not been independently audited.
  • Observability plus routing/experiment/gate configuration. Writes: Create experiments; Change model routing; Configure gates/recommendations.
  • Verlon account credential.
  • Sensitive access: Prompt/response or telemetry depending on gateway policy, Provider routing, Cost/quality data
  • Changing production routing/experiments can affect quality, cost and behavior.

Full authority, access and evidence limits are available in Review context and Access & risk.

All limitations / Review context

Does the write flag remain required for switch_model as the planned mutation surface grows?

The bounded review of the publisher's documented Verlon infrastructure gates, logs and opt-in model switching and release notices identified no disclosed material condition preventing an accurately scoped public tracking entry. The resource's operational permissions remain uncertainty; this assessment does not certify installation safety.

  • Changing production routing/experiments can affect quality, cost and behavior.
  • Observability plus routing/experiment/gate configuration.
  • Verlon account credential.
  • LLM requests/telemetry pass through or are observed by Verlon depending on gateway configuration.
  • Reviewed write actions: Create experiments; Change model routing; Configure gates/recommendations
  • Sensitive access: Prompt/response or telemetry depending on gateway policy, Provider routing, Cost/quality data
  • Installation, client compatibility and comprehensive security have not been independently audited. Authentication and access depend on the configured services.
  • Runtime behavior, dependencies and undisclosed vulnerabilities were not independently audited.
  • Documented tool authority and any remote data handling must be checked before installation or use.
  • Tool inventory, client matrix and permissions completeness were not requirements for this Radar tracking review.
  • exact API-key env
  • retention/privacy specifics
  • public repository identity
  • Control-plane writes can alter production model behavior and spending.
  • The platform supports many upstream providers and acts as a gateway.
  • Exact API-key/env setup and retention policy were not captured here.

Original activity observations

  • @verlon-ai/mcp 0.4.1 published 2026-09-13T05:04:45.501Z
Technical identity
npm/@verlon-ai/mcp
Reviewed resource type
MCP Server
Package identity
npm:@verlon-ai/mcp

Evidence & Sources

Evidence basis
Recorded source evidence
Setup runtime verification
Not independently runtime-tested by MCP100 for this setup workflow.

Reviewed · Latest source observation