Corsair
Corsair provides production-grade, open-source connectors that let engineering teams integrate AI agents with external SaaS applications without building or maintaining fragile API connections. The platform supports Model Context Protocol (MCP) servers, offers self-hosted deployment at no cost, and includes permission modes that require explicit approval for destructive actions. Teams can fork the repository or submit pull requests to add integrations, eliminating vendor lock-in.
- Developer Tools
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Building and maintaining integrations between AI agents and external SaaS applications is time-consuming and fragile. APIs change frequently, auth flows rotate, and error handling varies per provider, causing connections to break quietly over time. Closed-source integration tools limit teams to whatever connectors the vendor has built, leaving them blocked when they need something unsupported.
Solution
Corsair takes the integration layer off the plate by providing production-grade, open-source connectors that package authentication, endpoints, and data mapping for specific SaaS applications. Teams can self-host the full SDK on their own infrastructure at no cost, with no per-seat pricing or vendor markup on API calls. Permission modes per integration protect users by requiring explicit approval for destructive actions, and the open-source nature means teams can fork the repo or submit pull requests to add exactly the integrations they need. The platform supports Model Context Protocol (MCP) servers to standardize how agents discover and invoke tools across multiple applications, ensuring consistent behavior. By eliminating vendor lock-in and giving teams full control over their integration stack, Corsair ensures that connections remain reliable and adaptable to changing workflows.
Target Audience
Primary customers are engineering teams building AI agents or AI-powered products that need to connect to external SaaS applications and databases, particularly those who want to avoid vendor lock-in and maintain control over their integration infrastructure.
Features
- MCP server support standardizing how agents discover and invoke tools across multiple applications
- Permission modes per integration that require explicit approval for destructive actions, with review links for end users
- Self-hosted deployment option with no per-seat pricing, no data leaving the stack, and no vendor markup on API calls
- Open-source codebase that teams can fork or contribute to via pull requests, eliminating vendor lock-in
- Scoped access controls and approval gates to mitigate security risks from overly broad read access or unverified writes
- Prebuilt connectors that handle authentication, endpoint translation, and data mapping for specific SaaS applications