Welcome to Elva

Make every API agent-ready: from any repo to a production MCP server in minutes.

Elva builds a living catalog of your APIs, then keeps contracts, testing, monitoring, and changelogs running as one continuous pipeline so AI agents can actually call them. Point it at a repo or an OpenAPI spec, and it discovers your real endpoints, scores them for AI-readiness, and deploys a hosted MCP server that Claude, Cursor, VS Code, Gemini, and Codex can plug into. Catalog, contracts, MCP, testing, monitoring, changelogs, and insights live in one tool, not seven disconnected ones. Elva is a hosted platform: you work in the browser at app.getelva.ai, and the scoring engine is a public API at api.getelva.ai

Start here

Quickstart: repo to MCP

Go from a GitHub repo or spec to an agent-callable MCP server, with the exact connect commands.

How Elva works

See the continuous pipeline and hosted architecture that turn ingestion into agent-ready tools.

Build your catalog

The living API catalog

Every API in one scored, searchable place, refreshed on each scan with owners and last commit.

Hosted MCP servers

Turn any collection into a hosted MCP server where you pick exactly which operations become tools.

Trust your contracts

API contracts

Compose a versioned, governed promise from your collections — field-level PII control, drift alerts, and one-click publishing included.

Spec quality & scoring

30+ checks across design, developer experience, AI-readiness, and security produce a grade you can trust.

Test and watch

API testing

Fire real requests through an SSRF-safe proxy and generate client snippets in seconds.

MCP insights & logs

See which agents call which tools, with latency, error rate, and token usage per server.

Go further

AI assistant & semantic search

Chat with your catalog and search specs semantically, with tool-calling over your collections.

The enterprise MCP gateway

Every agent call authenticated, encrypted, and logged through a hosted gateway that never stores your credentials.