# Knit

> Use this tool when you need to integrate multiple business applications with AI models, requiring secure and scalable API access. Knit's MCP Server bridges AI models with 10,000+ external tools and data sources, packaging APIs into a single server with robust authorization support. It is ideal for production-grade B2B workloads, enabling simple and secure connections between AI models and various business applications.

Canonical page: https://skillsregistry.net/skills/knit  
JSON: https://api.skillsregistry.net/v1/skills/knit

## Description

Knit's MCP Server is a cloud-hosted, SSE-based solution that bridges AI models with external tools and data across 10,000+ tools from popular business applications. It enables packaging APIs from different applications (HRIS, ATS, CRM, Accounting, etc.) into a single server with robust authorization support via Bearer tokens. The server follows a simple 4-step setup process: finding tools, creating a package, configuring the server with necessary integrations, and connecting it to AI models—making it particularly valuable for production-grade B2B workloads requiring secure, scalable API access.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/knit)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "knit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/knit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/knit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt