
Parallel MCP Servers
Parallel MCP integrations let AI assistants use Parallel web search and research task capabilities without writing a custom API integration.

About
Parallel MCP integrations let AI assistants use Parallel web search and research task capabilities without writing a custom API integration.
Key Features
- Connect an assistant to Parallel web research tools.
- Choose the Search or Task integration appropriate to the workflow.
Use Cases
Find current web information and retrieve sources for an agent research task.
Limitations
The Search and Task integrations serve different workflows; use the endpoint documented for the selected integration.
Sources
- Project documentation: https://docs.parallel.ai/integrations/mcp/quickstart
- Setup reference: https://docs.parallel.ai/integrations/mcp/task-mcp
MCP Setup
Access requirements
- Search: anonymous access with limits; optional API key for higher limits.
- Task: Parallel authentication required.
Client setup
Other
Transport: http
- Add the remote MCP URL: https://search.parallel.ai/mcp
Search endpoint; no OAuth prompt on this URL. Use /mcp-oauth for the documented OAuth variant.
Claude Code
Transport: http
claude mcp add --transport http Parallel-Task-MCP https://task-mcp.parallel.ai/mcp
Auth:
- Run /mcp and complete Parallel sign-in in the browser.
Codex
Transport: http
codex mcp add parallel-task --url https://task-mcp.parallel.ai/mcp --bearer-token-env-var PARALLEL_API_KEY
- Set PARALLEL_API_KEY before launching Codex; restart after adding the server.
Environment variables
PARALLEL_API_KEY (Task API-key configuration)
Setup docs: https://docs.parallel.ai/integrations/mcp/task-mcp
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