Vinkius
Managed MCP hosting that turns 7,900+ apps into actions your AI agent can actually take.
Worth it when the hard part of your agent project is connectivity, not reasoning. The catalog is genuinely deep — Salesforce, Stripe and GitHub alongside odd corners like Tesla telemetry and NetSuite automation — and one connection surviving a model swap is the feature that saves real rework. Go in with a call-volume number in hand, because the cheapest tiers run out fast once an agent polls on a schedule.
Verified 4d ago · liveness 75/100 · cite: rightaichoice.com/tools/vinkius
- Developers who want agents executing real tasks without building or maintaining MCP servers
- AI product teams that need connectors live fast and portable across model swaps
- Agencies running agent workflows across multiple client stacks and AI clients
- Security-conscious orgs needing audit logs, SSO and role-based access on agent actions
- Projects that will blow past 500,000 calls a month without negotiating custom pricing
- Stacks built on internal systems with no connector and no appetite to publish an OpenAPI spec
- Teams that want to own their MCP runtime and upgrade schedule directly
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Skip Vinkius if your agents never need to write to, send from, or query a live third-party system — you would be paying for connectivity plumbing you will not call.
Extra usage past your included volume is billed at $5 per 10,000 requests and lands on your next invoice, so a runaway agent loop costs real money rather than failing cleanly.
Vinkius prices by call volume, not by connector access — the whole 7,916-connector catalog is on every tier. For a solo builder, $9/mo billed annually Lite (5,000 calls, 3-day history) undercuts most per-integration iPaaS seats, but 5,000 calls disappears fast with a scheduled agent. Teams that need audit logs, SSO and roles land on $199/mo billed annually Business, a step above many mid-market automation tools; the $89/mo billed annually Pro tier is the practical middle. Above the included volume, extra requests cost $5 per 10,000 ($0.0005
In short
Vinkius — Managed MCP hosting that turns 7,900+ apps into actions your AI agent can actually take. Best for Developers who want agents executing real tasks without building or maintaining MCP servers, AI product teams that need connectors live fast and portable across model swaps, Agencies running agent workflows across multiple client stacks and AI clients. Free to start; paid plans from $9/mo.
What's new in Vinkius
Checked 4 days agoAcross the latest 5 updates: 5 launches.
TarotAPI MCP server published on Vinkius
Vinkius lists a TarotAPI MCP server for AI agent workflows.
Vinkius adds Oracle NetSuite automation to its MCP catalog
A new MCP server automates Oracle NetSuite operations from Claude and Cursor via natural language.
Gatling load tests manageable via natural language through Vinkius MCP
Vinkius catalogs a Gatling MCP server for running load tests in natural language.
LearnWorlds MCP server listed on Vinkius
Vinkius lists an MCP server for automated academy management with LearnWorlds.
JotForm MCP server available on Vinkius
An MCP integration automates form data collection from AI agents.
What people actually say about Vinkius — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
12 mentions across 3 sources (Hacker News, Product Hunt, Bluesky) · researched Jul 4, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +One-click MCP installation from the largest existing catalog.
- +No infrastructure management – hosted servers reduce DevOps overhead.
- +Flat-rate subscription avoids per-MCP pricing that adds up quickly.
- +Encrypted credential storage prevents AI from exposing secrets.
- +Custom MCPs importable via OpenAPI, YAML, or TypeScript.
- −Too few real user reviews to assess reliability and support quality.
- −Catalog size may include many low-quality or auto-generated MCPs.
- −Pricing jump from $9 to Business $?? is unclear for mid-tier teams.
- −No offline/self-hosted option, causing vendor lock-in concerns.
- −Learning curve for non-developers new to MCP protocol concepts.
- • No mid-tier pricing publicly listed – Team plan cost is undisclosed
- • Over-limit charges or throttling beyond monthly calls unstated
- • Custom MCP development may incur extra compute resources
Viability Score
How well maintained and how widely used is Vinkius? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- MCP server catalog with 7,916+ connectors
- 57,566+ callable AI capabilities for agents
- One connection reusable across ChatGPT, Claude, Gemini, Cursor and more
- Governed pipeline: authenticate, authorize, resolve, execute, record
- Multi-connector prompts — combine several apps in one agent request
- Custom MCP server deployment via OpenAPI and YAML import
- MCP Fusion deployment for custom internal connectors
- Private Connector sharing across a team or project
- Encrypted credential storage with data protection policies
- Audit logs with 3 to 30 days retention by tier
- SSO login via SAML or OIDC
- Role-based access control (viewer, editor, admin)
- Service accounts and API keys for agent access
- Overload protection and automatic circuit breakers
- Live health monitoring across the connector network
About Vinkius
Vinkius is a managed MCP (Model Context Protocol) hosting layer. Instead of standing up and babysitting MCP servers yourself, you connect credentials once and pick from a catalog of 7,916+ app connectors exposing 57,566+ callable capabilities — GitHub, Stripe, Salesforce, Notion, Jira, HubSpot, Shopify, plus narrower entries like Tesla vehicle telemetry, Apple purchase verification, Oracle NetSuite, Gatling load testing, LearnWorlds, JotForm and TarotAPI. It's built for people who already have a reasoning model they like and just need it to reach real systems. ChatGPT, Claude, Gemini, Cursor, Claude Code, Codex, Qwen and other supported clients can all use the same connection at once — same account, credentials, permissions and capabilities — so swapping models doesn't mean rebuilding connectivity. Multiple connectors can fire inside one prompt, so an agent can check a calendar, look up a customer, review an order and send a message in a single request. The paid tiers buy governance, not connectors. Every request runs through authenticate → authorize → resolve → execute, returns a normalized result and writes a recorded trace. On top of that you get audit logs, SSO, service accounts, API keys, viewer/editor/admin roles, a kill switch and circuit breakers. Custom MCP servers can be imported from OpenAPI or YAML, or deployed via MCP Fusion, when the catalog misses your internal systems. The catalog is the same on every plan — you scale by call volume, not by unlocking connectors. Against rolling your own MCP setup, the two things you're really buying are connection portability across AI clients and a governance layer that would take weeks to build.
Behind the Verdict
Pick Vinkius when you want an agent to touch production systems this week and you have zero appetite for maintaining MCP servers. The catalog covers the boring corporate staples plus enough niche connectors that most teams find their stack represented. The trick worth paying attention to: connect once, then point ChatGPT, Claude, Cursor and Gemini at the same connection. In practice that removes the model-swap tax that usually kills these setups. Pass if your stack is dominated by internal systems with no OpenAPI spec and no one willing to publish one. You can import your own via OpenAPI, YAML, or MCP Fusion deployment, but that's work, and at that point you're back to owning connectivity. The closest alternative is wiring MCP servers yourself. That's free and fully yours — but you own uptime, credential rotation, audit trails and the upgrade schedule, and you'll rebuild connections every time the team standardizes on a new client. Vinkius trades that control for plumbing you don't write. Where it bites: cost scales with call volume, not seats, so polling agents burn budget in ways a seat-based tool never would. Get a realistic monthly call estimate before you commit. And keep an eye on tier history limits — a three-day audit window is fine for debugging, thin for compliance. One small thing we like: if a connector you need isn't there, Vinkius says email the name and it lands within 24 hours. That's a real escape hatch when the catalog has a gap. Who should reach for it: product teams running agent workflows across several AI clients, agencies juggling multiple client stacks, and security-conscious orgs that need SSO, roles and a kill switch on agent actions. If you're a solo builder prototyping one integration, the math is less obvious — but it gets obvious fast
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Real-world workflow fit
Concrete scenarios for the personas Vinkius actually fits — and what changes day-one when you adopt it.
Connect Gmail, Google Calendar and Notion once, then ask the agent to summarise an inbound client email, draft a reply and drop a follow-up task into Notion.
Outcome: Three systems updated from one prompt with no MCP server written or hosted; call usage lands inside the Lite tier's 5,000-call allowance for light daily use.
Point both Cursor and ChatGPT at the same Vinkius connection so engineers can query Supabase and Jira from whichever client they have open.
Outcome: No duplicate integration work when the team switches or adds an AI client, and the $29/mo Starter tier covers custom OpenAPI/YAML connectors for internal APIs.
Wire Datadog alerts to Jira issue creation and Slack notification, with audit logs and role-based access so only the ops lead can trigger writes.
Outcome: The $199/mo Business tier supplies SAML SSO, viewer/editor/admin roles, log export to Splunk and Datadog, and a kill switch if an automation misbehaves.
Use Cases
- Send a Gmail follow-up automatically after a Claude analysis of a customer thread
- Book meetings in Google Calendar from a natural-language ChatGPT request
- Move Stripe charges, customers and subscriptions from an agent prompt
- Open and triage Jira issues from live Datadog alerts via an AI assistant
- Upload to Google Drive and create a matching Notion task in one agent workflow
- Run Gatling load tests and read results in natural language from Claude or Cursor
- Pull Oracle NetSuite operations into Claude and Cursor without custom code
- Manage LearnWorlds academy content from an AI agent
Models Under the Hood
as of 2026-10-18
Limitations
- Call volume is the real constraint, not catalog access — the full connector catalog is on every plan.
- Monthly calls run 100 (Free), 5,000 (Lite, $9/mo billed annually), 25,000 (Starter, $29/mo), 100,000 (Pro, $89/mo) and 500,000 (Business, $199/mo billed annually).
- Above the included volume, connections stay active and extra usage is billed at $5 per 10,000 requests, added to the next invoice, so there is no hard cut-off but there is a real marginal cost.
- Activity history is short at the bottom: 3 days on Lite and Starter, 7 days on Pro, 30 days on Business.
as of 2026-10-04
Verification history
We have re-verified Vinkius 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Vinkius tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
A developer testing whether a ChatGPT or Claude agent can actually write to a real third-party system before paying anything.
What this tier adds
Free entry point: complete AI Connections catalog with 100 calls per month and single-user connections.
Lite
$9/mo ($84/yr billed annually)
Ideal for
A solo builder running a light daily agent — a few emails, calendar checks and Notion writes a day.
What this tier adds
Adds 5,000 calls per month, 3-day activity history, encrypted credentials, a usage dashboard and one-click client setup over Free.
Starter
$29/mo ($276/yr billed annually)
Ideal for
A small team or freelancer who needs to wire in internal APIs the public catalog does not cover.
What this tier adds
Raises the allowance to 25,000 calls and unlocks hosting custom connectors plus OpenAPI and YAML import, MCP Fusion deployment and private connector sharing.
Pro
$89/mo ($852/yr billed annually)
Ideal for
A daily-driver agent deployment where you need faster execution, longer history and audit trails, but not company-wide SSO.
What this tier adds
Adds 100,000 calls, 7-day activity history, faster connector execution, advanced usage analytics, project workspaces, audit logs, automatic data protection and priority support.
Business
$199/mo ($1,908/yr billed annually)
Ideal for
A company running agents across departments that must satisfy access-control and audit expectations.
What this tier adds
Adds 500,000 calls, 30-day activity history, unlimited workspaces, SSO via SAML/OIDC, viewer/editor/admin roles, service accounts and API keys, kill switch and circuit breaker, Splunk and Datadog export, and a dedicated SLA.
Where the pricing makes sense
The company stage and team size where Vinkius's pricing actually pencils out — and where peers do it cheaper.
Vinkius prices by call volume, not by connector access — the whole 7,916-connector catalog is on every tier. For a solo builder, $9/mo billed annually Lite (5,000 calls, 3-day history) undercuts most per-integration iPaaS seats, but 5,000 calls disappears fast with a scheduled agent. Teams that need audit logs, SSO and roles land on $199/mo billed annually Business, a step above many mid-market automation tools; the $89/mo billed annually Pro tier is the practical middle. Above the included volume, extra requests cost $5 per 10,000 ($0.0005
Setup time & first value
How long it actually takes to get something useful out of Vinkius — broken out by persona, not the marketing-page minute.
Solo developer on Free or Lite: create an account and connect your first client in a few minutes, with one-click setup for supported AI clients. Team lead on Starter: add custom connectors via OpenAPI or YAML import in an afternoon. Ops engineer on Business: budget a day for SSO via SAML/OIDC and role assignment before rolling agents out company-wide.
Switching to or from Vinkius
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a self-hosted MCP server: re-publish your existing server definition through Vinkius's OpenAPI or YAML import on Starter or above instead of running it yourself.
- →From a provider-specific MCP marketplace: swap the single-provider connection for a Vinkius connector that stays live when you change AI clients.
- →From hand-written REST glue: map each internal endpoint into an OpenAPI spec and import it as a custom connector.
- →From spreadsheets of API keys: move credentials into encrypted storage and replace shared keys with service accounts and scoped roles on Business.
- ↗To a self-hosted MCP runtime: export or reimplement your custom connector definitions from the OpenAPI/YAML specs you imported.
- ↗To a provider-native marketplace: rebuild the connectors you actively use inside that provider's own catalog, accepting single-vendor lock-in.
- ↗To a point-to-point iPaaS: recreate each Vinkius connector as a per-app integration, losing the shared cross-client connection.
- ↗To direct API code: replace the governed execution pipeline with your own auth, retry and trace handling per system.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Vinkius”, and we withheld 6: 6 could not be judged, because “Vinkius” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Vinkius.
Official links
Featured Head-to-Head Comparisons
Vinkius vs Spider Cloud
Choose Spider Cloud if your AI agent needs fresh web data for RAG or scraping — it's purpose-built for that with a Rust engine and AI extraction. Choose Vinkius if you want to let AI act on real-world apps (Gmail, Stripe) via MCP without writing servers. They solve different problems: Spider Cloud pulls data from the web; Vinkius pushes actions to services.
Vinkius vs Presto Voice
Presto Voice and Vinkius serve completely different use cases: Presto automates drive-thru ordering for QSR chains, while Vinkius gives AI agents tool access via a managed MCP catalog. Choose Presto if you run a drive-thru and want revenue uplift; choose Vinkius if you're a developer or team wanting to connect AI to thousands of APIs without building infrastructure.
Vinkius vs Temporal Ai
For developers building resilient AI agents or long-running workflows that must survive failures, Temporal is the clear winner with its mature durable execution model and recent serverless workers. If your priority is giving existing AI clients quick, no-code access to thousands of tools, Vinkius offers a simpler plug-and-play MCP platform — but at the cost of less control and scalability.
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