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Corsair

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• Updated Aug 26, 2026, 03:19 PM

Corsair is an open-source integration infrastructure designed for AI agents and third-party applications.

Use Cases ▼
01

Add Gmail, Slack, or Notion integrations to an AI chat application

02

Manage OAuth tokens and credentials for multiple end users

03

Expose AI agent tools via Model Context Protocol (MCP)

04

Handle incoming webhooks from third-party services

05

Self-host integration infrastructure for data privacy and control

06

Build internal operations chat tools that access company SaaS apps

07

Provide a customer-facing integration dashboard with per-user configuration

What Problem It Solves ▼

Corsair solves the problem of building and maintaining secure, multi-tenant integrations for AI agents. It provides a ready-made infrastructure for OAuth, permissions, webhooks, and MCP, so developers can connect their AI products to third-party apps quickly without managing complex integration code and credential storage.

Key Features ▼
✓

Open-source and self-hostable

✓

Supports OAuth, permissions, MCP, and webhooks out of the box

✓

Multi-tenant architecture for customer-specific integrations

✓

Backed by Y Combinator with active community

✓

Reduces integration development and maintenance overhead

Overview

Corsair is an open-source integration infrastructure designed for AI agents and third-party applications. It enables AI products to add secure, multi-tenant integrations with features such as OAuth, permissions, Model Context Protocol (MCP), webhooks, and both hosted and self-hosted execution. The platform abstracts away the complexity of connecting to popular services like Gmail, Slack, Notion, HubSpot, Stripe, and GitHub, allowing developers to focus on their core product.

Full Description ▼

Corsair is backed by Y Combinator and has gained significant traction in the developer community, with over 10,000 GitHub stars. It provides a hub application where users can manage integrations, API keys, and instances, as well as a dashboard for customer configuration. The project emphasizes flexibility, offering both a cloud-hosted option and the ability to self-host the entire infrastructure.

The tool is particularly useful for AI chat applications and internal operations tools that need to interact with a user's external accounts. By handling OAuth flows, credential storage, and permission management, Corsair reduces the time and effort required to build and maintain integrations from scratch. It also supports MCP, enabling AI agents to discover and use tools in a standardized way.

Overall, Corsair aims to be the integration layer for the AI era, providing the infrastructure needed to connect AI agents to the apps users rely on, without the burden of maintaining that infrastructure.

Pros & Cons

Pros

+

Open-source and self-hostable

+

Supports OAuth, permissions, MCP, and webhooks out of the box

+

Multi-tenant architecture for customer-specific integrations

+

Backed by Y Combinator with active community

+

Reduces integration development and maintenance overhead

Cons

−

Pricing for hosted version is not publicly listed

−

Requires technical expertise to self-host and configure

−

May be overkill for simple single-app integrations

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