Parallel Search MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| parallel_searchB | Search the web through Parallel Search API. Defaults to turbo; select basic or advanced when needed. |
| parallel_fetchA | Extract relevant Markdown excerpts or full content from up to 20 known URLs through Parallel Extract API. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
parallel_search and parallel_fetch have clearly distinct purposes: one performs web searches, the other extracts content from known URLs. There is no overlap or ambiguity between them.
Both tool names follow a consistent parallel_<verb> pattern (search, fetch). The naming is predictable and uniform.
With only 2 tools, the server feels minimal, but the tools cover the two core actions for a search/retrieval service. The count is on the low end but not unreasonable.
The server provides search and fetch capabilities, covering the primary workflow of searching the web and extracting content from specific URLs. Minor gaps like pagination or result filtering are not explicit, but the core surface is complete for a focused search tool.