Perplexity AI
This MCP server implementation provides a bridge to the Perplexity AI API, enabling AI assistants to leverage Perplexity's capabilities through various tools. Developed by Riley Edwards, it offers functionalities such as maintaining ongoing conversations, performing general searches, retrieving documentation, finding APIs, and checking for deprecated code. The server uses TypeScript and integrates with the @modelcontextprotocol/sdk for MCP compatibility. It's designed to simplify the integration of Perplexity AI into MCP-based systems, making it particularly useful for developers and AI applications requiring advanced search and conversational capabilities. The implementation focuses on error handling, chat history management, and flexible API interactions, supporting both stateless and stateful operations.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Perplexity AI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.