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Merge

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• Updated Sep 10, 2026, 10:41 PM

Merge is a connective infrastructure platform for production AI, providing a single layer to connect AI products, agents, APIs, tools, and large language models.

Use Cases ▼
01

Connect AI agents to thousands of pre-built tools through MCP connectors

02

Route every LLM through one API with spend and performance control

03

Ship customer-facing integrations across hundreds of apps through one unified API

04

Govern employee AI by pushing approved models, MCPs, and skills with audit logging

05

Automate candidate sourcing and lead generation workflows

06

Reconcile vendor and customer payments with connected financial data

07

Build internal knowledge bases and project analysis tools for AI products

08

Auto-provision access to SaaS tools for new employees

What Problem It Solves ▼

Merge solves the integration and connectivity problem for AI systems by providing one platform to connect products, agents, APIs, tools, and LLMs. Instead of building and maintaining many point-to-point integrations, teams can use Merge's unified APIs, agent tool connectors, and LLM gateway to access hundreds of apps and models, while retaining control over cost, performance, security, and governance.

Key Features ▼
✓

Unified API for hundreds of pre-built integrations

✓

Pre-built MCP connectors for agent tools

✓

LLM gateway with spend and performance controls

✓

Workforce governance with audit logging and cost controls

✓

Security certifications including SOC 2 and HIPAA

Overview

Merge is a connective infrastructure platform for production AI, providing a single layer to connect AI products, agents, APIs, tools, and large language models. It offers a unified API for customer-facing data integrations across hundreds of applications, an Agent Handler for connecting AI agents to thousands of pre-built tools via MCP connectors, and a Gateway for routing LLM requests through one API with spend and performance controls. Merge also includes Merge for Workforce, which lets organizations govern internal AI by pushing approved models, MCPs, and skills to employee AI tools with cost controls and audit logging.

Full Description ▼

The platform is designed for builders and enterprises that need to ship integrations quickly without maintaining point-to-point connectors. It provides pre-built connectors, observability, security controls, and a catalog of integrations, MCP connectors, and AI models. Merge markets itself as the connectivity layer for AI, with use cases spanning AI product development, employee AI governance, and operational workflows such as candidate sourcing, financial analysis, and payment reconciliation.

Merge is trusted by companies building AI products, including OpenAI, and positions itself as infrastructure rather than an end-user application. It is delivered as a hosted SaaS platform and offers documentation, pricing, and security information on its website.

Pros & Cons

Pros

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Unified API for hundreds of pre-built integrations

+

Pre-built MCP connectors for agent tools

+

LLM gateway with spend and performance controls

+

Workforce governance with audit logging and cost controls

+

Security certifications including SOC 2 and HIPAA

Cons

−

Pricing may require contacting sales for enterprise plans

−

Dependent on Merge's catalog of supported integrations and connectors

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Delivered as a hosted SaaS platform, which may not suit organizations requiring on-premises deployment

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May be more infrastructure than needed for simple single-connection projects

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