Connects to a Brightsy AI agent using the Model Context Protocol.
Connects to a Brightsy AI agent using the Model Context Protocol.
The server publishes 1 tool. What each one is for:
Prerequisites — Before running the tests, set the following environment variables:Before running the tests, set the following environment variables: ```bash export AGENT_ID=your-agent-id export API_KEY=your-api-key
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Before running the tests, set the following environment variables: ```bash export AGENT_ID=your-agent-id export API_KEY=your-api-key
| Variable | Description | Required |
|---|---|---|
| BRIGHTSY_TOOL_NAME | Configuration value read at startup. | Optional |
| AGENT_ID | Configuration value read at startup. | Optional |
| API_KEY | Credential the server authenticates with. | Yes |
| TOOL_NAME | Configuration value read at startup. | Optional |
| BRIGHTSY_AGENT_ID | Configuration value read at startup. | Optional |
| BRIGHTSY_API_KEY | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.