Research • Model Context Protocol

Your AI copilots with governed research pipelines

Midesk automates collection, normalization, and audit trails across the sources your research team relies on. MCP brings that curated intelligence straight into Claude, ChatGPT, or Cursor, so every prompt produces evidence-backed insights.

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Trusted by market, academic, and corporate research teams

What researchers automate first

Methodology scans: watch for new frameworks, legislation, or datasets hitting your domain.
Source harmonization: align units, currencies, and taxonomies once—reuse everywhere.
Citation hygiene: every output carries DOI, URL, and timestamp metadata automatically.

MCP Server Active — Works With:

Midesk

App

OpenAI

Research, API

Claude

App, Desktop, Code

Cursor

IDE

Custom

Tools

Connect your intelligence to any MCP-compatible tool

Purpose-built for research velocity

One workspace for collection, curation, and MCP delivery

Analysts orchestrate sources and quality controls in Midesk. MCP makes the same trusted data conversational inside flagship AI tools.

Live source aggregation

Monitor journals, RSS feeds, APIs, datasets, and custom scrapes from one governed workspace.

Structured extraction

Normalize tables, KPIs, and qualitative notes into reusable repositories for MCP prompts and reporting.

Research workspace

Control taxonomies, version history, and annotations before exposing data to assistants.

Evidence-rich exports

Generate annotated bibliographies, data packs, and briefing decks with citations intact.

Compliance & audit

Track provenance, access, and approvals for every data pull—supporting regulated teams.

Automation hooks

Schedule digests, trigger Slack/Teams updates, or pipe results into notebooks via webhooks.

Playbooks

Research teams templatize repeatable MCP flows

Instead of stitching ad-hoc scripts together, adopt reusable playbooks covering literature sweeps, KPI updates, and stakeholder digests. Each playbook combines monitored sources, data transforms, and MCP prompts your team can clone in minutes.

Literature review autopilot

Summarize recent papers, capture abstracts, and export annotated bibliographies to Excel or Notion with citations baked in.

Query by topic, geography, or publisher inside Claude/ChatGPT
Flag novelty scores and methodology notes automatically
Deliver annotated spreadsheets and slide summaries

Quant dataset assembly

Ingest KPIs from filings, APIs, and web tables. Normalize fields, track sourcing, and push updates to MCP prompts.

Column-level validation and units alignment
Version history for every update
Ready-to-use CSV/PPTX exports for stakeholders

Stakeholder digests

Build multi-source alerts for research consumers. Midesk composes digest emails, MCP keeps the same context in chat.

Segment audiences with tags and permissions
Auto-embed charts, quotes, and key findings
Trigger notifications on cadence or threshold

Workflow

How researchers keep insights flowing

1 · Ingest & govern
Analysts manage sources, taxonomies, and quality checks inside Midesk before assistants touch the data.
2 · Explore via MCP
Paste https://mcp.midesk.co into Claude, ChatGPT, or Cursor and interrogate the corpus with natural language.
3 · Publish & automate
Export slides, bibliographies, and CSVs or trigger downstream tools through MCP chains and webhooks.

Research workspace • Structured repositories and annotations

Thousands of sources

streamed through monitored feeds, sites, and APIs per workspace

100% cited

every insight carries a provenance trail for audit or peer review

Minutes, not days

to refresh research packs when new data drops

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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