🤖 MCP (Model Context Protocol) server implementation for conversation agents with multi-agent orchestration
🤖 MCP (Model Context Protocol) server implementation for conversation agents with multi-agent orchestration
A powerful Model Control Protocol (MCP) server implementation for Google Dialogflow CX, enabling seamless integration between AI assistants and Google's advanced conversational platform.
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| Variable | Description | Required |
|---|---|---|
| DIALOGFLOW_API_KEY | Credential the server authenticates with. | Yes |
| PROJECT_ID | Configuration value read at startup. | Optional |
| LOCATION | Configuration value read at startup. | Optional |
| AGENT_ID | Configuration value read at startup. | Optional |
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.