connecta
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@connectalist available connectors"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
connecta

One MCP endpoint. The integrations you chose. Your agent reaches them by writing code instead of loading a thousand tool definitions.
The mental model
You ask your agent a question that touches a service — Linear, Stripe, an internal API, anything you have connected. Here is what happens:
The agent talks to one endpoint, yours, and sees seven tools. Always seven, no matter how many services sit behind it.
It writes a short JavaScript program. Connecta runs it in a sandbox next to your integrations. The program can search for tools, call them, chain the calls, and shape the result.
Only the answer comes back into the agent's context — not raw pages of API output.
If the agent wants to change something — create, update, delete — it cannot do that from a program. It makes one explicit call, and your MCP client can put that call in front of you first.
Credentials never leave the server. The program never sees them, and neither does the agent.
flowchart TB
Client["Your MCP client<br/>Claude, Cursor, …"]
subgraph Connecta["Connecta — one endpoint, seven tools, your credentials"]
Sandbox["execute_code<br/>the agent's program runs here<br/>read-only tools only"]
Explicit["call_destructive_tool<br/>one visible call per write<br/>your client can ask you first"]
end
Integrations["The integrations you chose<br/>Linear · Stripe · Notion · Vercel · your HTTP API · any MCP server"]
Client -->|"one connection"| Sandbox
Client --> Explicit
Sandbox -->|"reads"| Integrations
Explicit -->|"writes"| IntegrationsThis is the kind of thing the agent writes, not you:
async () => {
const { nodes } = await connecta.call("tracker.list_issues", { state: "started" });
const byOwner = {};
for (const issue of nodes) {
(byOwner[issue.assignee?.name ?? "unassigned"] ??= []).push(issue.identifier);
}
return byOwner;
}Fifty issues in, one small object out. Your context window notices.
Related MCP server: mcp-gateway
What you can do with it
Put every MCP server you use behind one connection. Add or remove services in a config file; your client never changes.
Wrap any HTTP API by hand. A few lines per tool. No OpenAPI conversion — generated tool sprawl is the problem, not the fix.
Use maintained connections for Cloudflare, Linear, Mixpanel, Notion, RevenueCat, Stripe, and Vercel: known endpoints, auth defaults, and vetted read/write classifications, imported one at a time. Cloudflare, Notion, and Vercel each let the deployment choose their hand-written API interface or official hosted MCP.
Let the agent work in code. Search, chain, filter, join, and reduce inside the sandbox instead of round-tripping every call through the model.
Teach undeclared result shapes by using them. Successful read-only calls retain field names and broad types in bounded runtime memory, never scalar values, so later programs can project a remote MCP result its provider never documented.
Keep writes deliberate. Only tools marked read-only run in a program. Everything else is a separate, visible call your client can gate.
Run it where you like. Node, a Docker container, or a Cloudflare Worker, from the same small deployment file.
Deployments explicitly compose optional features: operatorUi() from
@zackbart/connecta/ui, encryptedCredentialVault() from /credentials,
activityHistory() from /activity, and inbound authentication adapters from
/auth/*. Omit a module and its implementation does no runtime work. Core
keeps connector discovery, execution, invocation, and enforcement together.
The optional UI shows each person's connections and effective permissions. Authentication controls live inside each connection, with optional activity history. The configured connection list loads before downstream checks finish; a slow provider does not hold up the page. Connector selection and access rules remain in deployment code.
One deployment may serve several authenticated people inside the same tenant. Cloudflare Access supplies Worker identity; Node can use Clerk or the optional configured bearer adapter. Connecta owns no accounts or groups and issues no client access tokens. Shared-credential administration and personal connection setup require separate explicit permissions, both denied by default. See inbound auth, shared and personal auth, and the module migration guide.
Connecta is not a platform, a marketplace, a policy engine, or a multi-tenant service. Those are decisions, and the ethos records each one and why.
Getting started
Setup is written for an agent. Point yours at AGENTS.md and
ask it to set up a Connecta deployment; the
documentation covers every subsystem if you want to go
deeper, and upgrading an existing deployment
is its own runbook.
Status
Built for its author's deployments first and published openly. Breaking changes are expected before 1.0. See the changelog and security policy.
This server cannot be deployed
Maintenance
Related MCP Connectors
One MCP endpoint for Claude, GPT & Gemini: 100+ tools + no-code connectors + agent workers.
- GentkeyOAuthcom.gentkey
One MCP URL for all your connectors — scoped writes, enforced constraints, and a full audit trail.
One connector URL giving any MCP client live access to 21 services and 51 tools.
One MCP server exposing every tool in the Gumball portfolio.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceA gateway that aggregates multiple MCP servers into a single endpoint, namespacing their tools and forwarding calls, so an agent connects to one MCP to access the entire stack.MIT
- FlicenseNot gradedqualityDmaintenanceAggregates multiple child MCP servers into a single MCP server endpoint, enabling clients to use various tools (e.g., filesystem, Brave Search) through one interface.17-
- FlicenseNot gradedqualityBmaintenanceAggregates multiple MCP servers and custom Python tools behind a single endpoint, with intelligent context and tool discovery for AI agents.-
- AlicenseAqualityBmaintenanceAggregates multiple MCP servers into a single interface, reducing token overhead and simplifying tool management for LLMs.610317Apache 2.0