AI Tools for Researchers

Use MCP to bring live sources and structured extraction into Claude, ChatGPT, and Cursor. Create reproducible research workflows and export to Excel or slides.

Research workflows powered by Midesk

Literature review: summarize papers, extract citations, and create annotated bibliographies
Web/RSS data collection: monitor sources, extract tables, normalize fields
Dataset building: compile KPIs across companies, geos, or segments
Reproducible outputs: export to Excel or PPTX with sources

Example prompts

Using Midesk MCP, build an annotated bibliography on {topic}:
- 8 recent sources with abstracts
- 3 key findings per source
- Export to an Excel sheet with columns: title, year, DOI, summary, link

Collect web data for {indicator} across {companies/geos}:
- Extract latest values and dates
- Provide source links
- Create a 4‑slide PPTX with charts

How it works

Connect your assistant with https://mcp.midesk.co
Ask research questions or define an extraction task
Export structured, citable results

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Set up MCP in your research environment

Configuring Midesk MCP in ChatGPT for research data collection and analysis

Add https://mcp.midesk.co as a connector in your AI assistant. Transform Claude, ChatGPT, or Cursor into a research powerhouse with direct access to data collection, extraction, and analysis tools.

How MCP slots into the analyst workflow

The Model Context Protocol lets each assistant access the same endpoints our product exposes to analysts. That means no more copy and paste between browser tabs. Your AI partner can gather raw inputs, store structured data, and push insights into polished deliverables while you stay in the conversation.

1
Connect a tenant
Point Claude, ChatGPT, or Cursor to https://mcp.midesk.co and share API credentials. Your assistant instantly sees the same projects your team works on.
2
Compose a plan
Prompt your AI to outline the monitoring, data, and reporting steps required. The MCP catalog gives it every tool necessary to orchestrate the workflow end-to-end.
3
Ship the deliverable
Use report automation tools to publish the outcome in your existing dashboards or PowerPoint exports. Analysts stay in control while the assistant handles the busywork.

What you get with MCP access

✓Enterprise-ready authentication mapped to your tenants.
✓Consistent schemas shared across UI and MCP endpoints.
✓Fine-grained rate limiting so assistants stay responsive.
✓Audit trails for every change triggered by your AI agents.

Start today

Paste this as a Connector URL in ChatGPT, Claude, or Cursor to link your Midesk workspace.

Channel Builder

content

Channel automation for curated intelligence

Design, enrich, and distribute MCP-ready monitoring channels straight from your chat window.

The content namespace covers everything you need to compose live market and competitor channels. Generate boolean queries, combine RSS feeds, or stitch existing channels into a new hub that your AI agent can explore in seconds.

•Generate high-signal boolean queries with guardrails before you create a channel.
•Spin up RSS, curated, or parent channels with a single command.
•Preview the feed result set and search existing items to verify scope instantly.

Monitoring automations & extraction recipes

Configure end-to-end web and document monitoring jobs with MCP commands.

Monitoring tools let your AI configure structured scrapers, forward-download pipelines, and quality assurance steps without touching the UI. The same definitions used by the Midesk platform can now be orchestrated through MCP.

•Author extraction recipes for complex HTML and document layouts.
•Validate selectors and clean transforms with preview/test commands.
•Manage job lifecycle from creation to deployment entirely via MCP.

Market data modeling inside MCP

Stand up reusable data types, tables, and pipelines directly from your assistant.

Data namespace tools expose the Midesk repository model. Define a schema, push rows in bulk, or list existing assets so that your AI can blend qualitative monitoring with quantitative facts.

•Introspect existing data types and model versions before writing.
•Bulk-load clean, structured datapoints with audit trails.
•Fetch tables into the chat context for analysis or reporting.

Narrative & report automation

Compose living reports, apply templates, and maintain analyst narratives programmatically.

Report namespace tools let MCP agents build and update slide decks, insight pages, and long-form deliverables. Automate how intelligence reaches decision makers without breaking version control.

•Create or duplicate full reports with reusable templates.
•Inject structured insights and auto-build layout blocks.
•Guarantee every page carries the latest narrative and data.

Analyst utilities & system feedback

Productivity shortcuts, structured notetaking, and tight feedback loops for MCP sessions.

Utility, meta, and system namespaces round out the toolkit with search shortcuts, scratchpads, and a lightweight way to share product feedback straight from your assistant.

•Drop quick research pivots with Google Search and Notepad tools.
•Inspect tool configuration metadata for advanced prompting.
•Send product feedback without leaving your flow.

AI tools ready

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Application areas

In Market & Competitive Intelligence Teams

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