About Bridge
Bridge is an MCP server published by mhingston in the Developer Tools category: a TypeScript utility that bridges the Model Context Protocol (MCP) with the Vercel AI SDK.
The repository has 3 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/mhingston/mcp-bridgeThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Security checks
Static checks derived from the repository 7 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
MCP Bridge
A TypeScript utility that bridges the Model Context Protocol (MCP) with the Vercel AI SDK.
Features
- Converts MCP tools into Vercel AI SDK compatible tools
Installation
npm install mcp-bridge
Usage
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { getToolSet } from "mcp-bridge";
import { generateText } from "ai";
// Initialize your MCP client
const client = new Client(/* your config */);
await client.connect(/* client transport */);
// Get the tool set
const toolSet = await getToolSet(client);
// Use the tools with the Vercel AI SDK
// The toolSet object will contain all the MCP tools converted to AI SDK format
// e.g.
const result = await generateText({
model: yourModel,
tools: toolSet,
prompt: 'What is the weather in San Francisco?',
});
README fetched from the repository 7 days ago. The original is authoritative.