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Exa MCP Server

by dsouza-anush

deep_researcher_check

Monitor and retrieve detailed research results from an AI agent. Poll the tool repeatedly using the task ID until the status shows 'completed' to obtain synthesized findings from comprehensive web searches and analysis of multiple sources.

Instructions

Check the status and retrieve results of a deep research task. This tool monitors the progress of an AI agent that performs comprehensive web searches, analyzes multiple sources, and synthesizes findings into detailed research reports. The tool includes a built-in 5-second delay before checking to allow processing time. IMPORTANT: You must call this tool repeatedly (poll) until the status becomes 'completed' to get the final research results. When status is 'running', wait a few seconds and call this tool again with the same task ID.

Input Schema

NameRequiredDescriptionDefault
taskIdYesThe task ID returned from deep_researcher_start tool

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "taskId": { "description": "The task ID returned from deep_researcher_start tool", "type": "string" } }, "required": [ "taskId" ], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dsouza-anush/exa-mcp-server-heroku'

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