# Claude.ai Connector Bridge

> Use this tool when you need to integrate Claude.ai with local resources, such as tools, files, and services, without requiring a desktop app installation. It solves the problem of accessing local data and services remotely through the Claude.ai web interface by bridging the connection with locally-running MCP servers. The Claude.ai Connector Bridge takes in MCP server connections and outputs seamless access to local resources through the Claude.ai web interface.

Canonical page: https://skillsregistry.net/skills/kitimark-claudeai-connector-bridge  
JSON: https://api.skillsregistry.net/v1/skills/kitimark-claudeai-connector-bridge

## Description

Claude.ai Connector Bridge provides an MCP client that bridges the Claude.ai web interface with locally-running MCP servers. It enables Claude.ai users to access local tools, files, and services through MCP without requiring a desktop app installation. Built in TypeScript by kitimark.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kitimark-claudeai-connector-bridge)
- **Repository:** <https://github.com/kitimark/claudeai-mcp-bridge>

## 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": "kitimark-claudeai-connector-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kitimark-claudeai-connector-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kitimark-claudeai-connector-bridge/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