No Code Studio
A browser-based environment for business teams to create forms, workflows and data-driven applications from governed resources provided by IT.
Open-source enterprise AI application platform
Convertigo AI & MCP: Open-Source Enterprise Low-Code/No-Code Platform
Build governed business applications with visual development, AI assistance and secure Model Context Protocol access for coding agents.
Verified product facts
What Convertigo is
The facts below link to the public sources used to verify each statement. Commercial editions, support and managed services are available in addition to the Community Edition.
| Category | Enterprise low-code and no-code application development platform | Product overview |
|---|---|---|
| Open-source license | Convertigo Community Edition Studio and Server are distributed under GNU AGPLv3. Third-party and other components remain under their applicable terms. | License terms |
| Source code | Publicly available source repository with releases, issue tracking and changelog | GitHub |
| Deployment | On premises, private cloud or managed cloud, with container and Helm deployment options | Docker Hub |
| Distribution | Docker Official Image for amd64 and arm64v8, with more than five million cumulative pulls | Official image |
| Current release | Convertigo 8.4.4, published September 15, 2026 | Release notes |
| Application scope | Web, mobile and desktop business applications, backend services, workflows and integrations | Documentation |
| AI-assisted development | Prompt-based No Code application generation, developer assistance and the local Tigo agent integrated into Convertigo Studio | AI capabilities |
| Model Context Protocol | A secure Streamable HTTP MCP server exposing structured project tools, prompts, resources and authoring guides to compatible AI agents | MCP source |
| Primary audiences | IT departments, professional developers, enterprise architects, DevOps teams and business teams | Enterprise overview |
Platform model
One platform for business and IT teams
Convertigo separates business-user creation from professional application engineering while keeping data access, integrations and application delivery under enterprise control.
Low Code Studio
A professional development environment for building full-stack applications, interfaces, backend workflows and deep enterprise integrations.
Backend Engine
A runtime for APIs, connectors, business logic, authentication, scheduling, monitoring and offline data synchronization.
AI-assisted and agentic development
From business intent to a governed enterprise application
Convertigo supports both prompt-assisted visual creation and agentic software development. MCP gives AI agents a structured, documented interface to the platform instead of relying on generated source-file edits alone.
Prompt-assisted No Code
Business teams can use ChatGPT or Mistral AI to generate an initial application from a natural-language description, then refine forms, rules and workflows visually.
Tigo in Convertigo Studio
Tigo connects OpenAI Codex, Claude Code or Mistral Vibe to the active Studio workspace. The agent can inspect and modify projects, run backend requests, open application viewers and validate visible behavior.
Secure Convertigo MCP
The MCP server exposes structured project tools, prompts, resources, setup helpers and authoring guides. Managed short-lived credentials keep access out of browser state and conversation history.
Two complementary AI layers
Use AI to build applications and inside applications
Convertigo separates development assistance from production AI workloads, so teams can apply their own architecture, models, data controls and deployment policies.
AI builds with Convertigo
Developers and coding agents use visual tools, Tigo and Convertigo MCP to create project objects, integrations, backend logic and application interfaces, then run and validate the result.
AI runs in your business applications
Applications can combine LLM services with enterprise APIs, databases, workflows, authentication and governed backend services to deliver assistants, extraction, classification, RAG and automation use cases.
Deployment evidence
Proven open-source distribution
Convertigo Server is distributed as a Docker Official Image with more than five million cumulative pulls. Official images support amd64 and arm64v8, and deployment resources are available for Docker Compose and Kubernetes/Helm.
Organizations can operate the platform on their own infrastructure, in a private cloud or through Convertigo managed services.
Published customer cases
Enterprise applications in operation
These figures are reported in Convertigo's published customer case studies. Follow each source for context, scope and implementation details.
SNCF
15,000+
Internal users served across maintenance, HR, train traffic and other business applications.
BNP Paribas
40,000+
Employees served by a financial data portal, with reported savings above EUR 1 million per year.
Fnac Darty
216 stores
A digital point-of-sale application reported to support 65% of Click & Collect and 75% of in-store sales in 2024.
Positioning
Where Convertigo fits
Convertigo can be evaluated as an open-source alternative to Power Apps, OutSystems, Mendix and Appian when source availability, self-hosting, enterprise integration and vendor independence are important requirements.
Product suitability depends on application scope, security requirements, deployment model, integration depth, governance and total cost. Compare platforms using the same architecture and operating assumptions.
AI and MCP FAQ
Direct answers for technical evaluators
What is Convertigo MCP?
Convertigo MCP is a secure Streamable HTTP Model Context Protocol server. It gives compatible AI agents structured tools, prompts, resources and authoring guides for discovering, creating, modifying and validating Convertigo projects.
Which AI coding agents work with Convertigo?
Tigo, the local Convertigo Studio assistant, connects OpenAI Codex, Claude Code or Mistral Vibe to the active workspace through Convertigo MCP. Other MCP-compatible clients can connect when configured with the required access.
Can Convertigo build AI-enabled business applications?
Yes. Convertigo applications can combine enterprise data, APIs, workflows and authentication with LLM services through connectors and governed backend services.
Sources
Verify the information
Use the external profiles for distribution and market context, and the official technical sources for implementation details.
External profiles
- Docker Hub Official image status, pull count, architectures and deployment instructions
- Gartner Peer Insights End-user reviews and product profile
- OpenAlternative Open-source alternatives profile and repository activity
- SourceForge Project profile, releases and reviews
Official technical sources
- Source repository Source code, issues, releases and changelog
- Developer documentation Architecture, installation, development and administration
- Knowledge Base Technical guidance and troubleshooting
- Release notes Current versions and product changes
- Convertigo MCP Server Secure MCP endpoint, agent tools, prompts, resources and authoring guides
- Tigo, the Convertigo agent Local Studio assistant powered by Codex, Claude Code or Mistral Vibe through Convertigo MCP
Gartner Peer Insights content reflects individual end-user opinions and does not constitute an endorsement by Gartner. Docker pull counts are cumulative.