A production-ready Model Context Protocol (MCP) server that connects Claude to LinkedIn, enabling AI-driven post creation via natural language. Built with TypeScript on Vercel serverless functions, MCP SDK v2 (Streamable HTTP), OAuth 2.0 (LinkedIn OpenID Connect), and Upstash Redis for secure token storage.
codebytemirza/linkedin-post-mcp
Command Codex
Run analytics over indexed data using metric and bucket aggregations. Compute statistics, group documents, build histograms, and perform faceted navigation. Aggregations can be nested for multi-level analysis.
codebytemirza/linkedin-post-mcp
Command Codex
Index aliases provide an indirection layer between your application and the actual index. You can point an alias to any index and swap it atomically, enabling zero-downtime reindexing.
codebytemirza/linkedin-post-mcp
Command Codex
Create, inspect, and drop search indexes. Wait for indexing to complete after data changes. Indexes automatically track Redis keys matching a specified prefix.
codebytemirza/linkedin-post-mcp
Command Codex
Query documents from a search index using type-safe filters with support for pagination, sorting, field selection, scoring, and highlighting. Count matching documents efficiently without returning results.