Skip to main content
Blog

Best Technographic Data MCP Servers in 2026 (Compared)

A comprehensive comparison of MCP servers for accessing technographic data from AI assistants like Claude, Cursor, and ChatGPT. Compare TheirStack, BuiltWith, Wappalyzer, and more.

Christian PalouChristian Palouโ€ขMarch 23, 2026โ€ขUpdated: August 4, 2026

Technographic data โ€” information about what technologies companies use โ€” is essential for B2B sales, competitive intelligence, and market research. With the Model Context Protocol (MCP), you can now access this data directly from AI assistants like Claude, Cursor, and ChatGPT, without writing a single API call.

In this guide, we compare technographic data providers on their MCP support, helping you find the best way to look up company tech stacks and find companies by technology from your AI workflow.

Quick Comparison: Technographic Data MCP Servers in 2026

Capability
TheirStackTheirStack
BuiltWithBuiltWith
WappalyzerWappalyzer
SimilarwebSimilarweb
CoresignalCoresignal
๐Ÿ”ŒMCP server available
โœ…Yes (hosted MCP with 15 tools)
โŒNo
โœ…Yes (official MCP, Sept 2025)
โœ…Yes (remote MCP at mcp.coresignal.com)
๐Ÿค–AI client compatibility
โœ…Claude Desktop, Cursor & MCP clients
โŒN/A
โœ…Claude, Cursor, n8n, Zapier
โš ๏ธMCP clients via the mcp-remote bridge (Node.js)
๐Ÿ”Tech stack lookup via MCP
โœ…technographics tool (full stack per company)
โœ…Yes (domain lookup tools, API credits apply)
โŒAPI only
โš ๏ธTechnographic queries (needs API subscription)
โš ๏ธVia company records tool (no technographic-specific tool)
๐ŸขCompany search via MCP
โœ…search_companies with tech stack filters
โŒNot documented via MCP
โŒAPI only
โŒNo company search
โš ๏ธCompany records tool (10-20 credits each)
๐Ÿ”งBackend tech detection
โœ…Yes (job-based: databases, DevOps, ERPs)
โŒFrontend only
โŒFrontend only
โŒNo
โŒLimited

Legend: โœ… built-in ยท โŒ not supported ยท โš ๏ธ possible but requires DIY/custom work

Detailed Review of Each Provider's MCP Support

TheirStack logo1. TheirStackIntent-driven prospecting and enrichment

TheirStack takes a unique approach to technographic data by analyzing millions of job postings worldwide. Instead of only scanning websites for frontend technologies, it reveals what technologies companies are actively hiring for, implementing, and expanding. This means you get buying intent signals alongside comprehensive tech stack data โ€” including backend technologies that website scanners miss entirely.

Strengths

  • โœ“Detects backend and internal technologies (databases, DevOps, ERPs) from job postings โ€” not just web-facing tech
  • โœ“Hiring signals act as buying intent โ€” know what companies are investing in, not just using
  • โœ“Global coverage: 226M+ job postings analyzed from 195 countries, sourced from 353k+ sources
  • โœ“Continuous updates โ€” 86% of new postings are discovered the same day they are published, so new technology adoptions surface within hours, not weeks
  • โœ“Built-in deduplication across all 353k+ sources โ€” the same job posted on multiple platforms counts once, saving credits and eliminating noise
  • โœ“Single fast API with 40+ filters, webhooks, and sub-second response times
  • โœ“Both UI and API โ€” explore data interactively at app.theirstack.com or integrate programmatically, no engineering resources required to get started
  • โœ“Official MCP server for AI-native workflows โ€” query technographic and job data directly from Claude, Cursor, or any MCP-compatible agent
  • โœ“Bulk datasets available for warehouse ingestion โ€” download or schedule delivery of full data exports
  • โœ“Self-serve transparent pricing starting free, with plans from $49/mo and one-time purchases available โ€” no subscription required

Considerations

  • โ„นTechnology detection relies on active hiring โ€” companies not posting jobs may have less coverage โ€” TheirStack's detection method depends on companies publishing job postings that mention technologies. Companies in hiring freezes or very small teams that rarely post jobs may have less coverage compared to website scanning approaches.
Pricing: Free / $49/mo (one-time purchases available) (free tier available)TheirStack โ†’
BuiltWith logo2. BuiltWithAI-assisted technology research via Claude or Cursor

BuiltWith is one of the most established technographic data providers, known for scanning websites to detect frontend technologies. While it excels at identifying client-side tools like analytics scripts, marketing pixels, and JavaScript frameworks, many teams find it lacking when they need deeper technology intelligence โ€” backend tech stacks, buying intent signals, or affordable self-serve pricing.

Strengths

  • โœ“Largest web technology database with 124,395+ tracked technologies
  • โœ“Historical technology tracking showing adoption and abandonment over time
  • โœ“Market share reports and technology penetration data
  • โœ“Official MCP server with 15 tools โ€” hosted endpoint at api.builtwith.com/mcp requires no local setup
  • โœ“Open-source (MIT) with self-hosting option via stdio or HTTP transport for Claude Desktop, Cursor, and other MCP clients

Considerations

  • โ„นLimited to frontend technologies โ€” BuiltWith detects technologies by scanning website source code, HTTP headers, and DNS records. This means it's great for identifying client-side tools like Google Analytics or jQuery, but it completely misses backend technologies โ€” databases like PostgreSQL, data warehouses like Snowflake, DevOps tools like Kubernetes, or internal business software like SAP. If your sales or research workflow depends on knowing the full tech stack, you need a different approach.
  • โ„นNo buying intent signals โ€” BuiltWith tells you what a company currently uses, but not what they're investing in. For sales teams, knowing that a company is actively hiring Snowflake engineers (a strong buying signal for data tools) is far more actionable than knowing they have Google Tag Manager on their website. Job-based technographic providers fill this gap.
  • โ„นExpensive for what you get โ€” BuiltWith's pricing starts at $295/month for basic access and goes up to $995/month for enterprise features. For teams that primarily need technology-based lead lists, there are more affordable alternatives that offer broader data coverage and better filtering capabilities.
  • โ„นSprawling API with shallow firmographic filtering โ€” the surface is 24 separately documented endpoint products, and while the Lists API narrows by country, traffic rank, and employee estimates, it cannot filter by industry, revenue, or funding, so qualifying a technology list still needs a separate enrichment step. There are no webhooks either โ€” change tracking means polling the Change API or relying on email notifications.
  • โ„นRequires BuiltWith API key โ€” MCP queries consume API credits from your paid plan, so the same dual-cost structure (subscription + credits) applies
Pricing: $295/moBuiltWith โ†’
Wappalyzer logo3. WappalyzerQuick website tech checks and lightweight API usage

Wappalyzer is a popular technology detection tool known for its free browser extension and developer-friendly API. While it's great for quick website tech checks, many teams outgrow it when they need deeper technology intelligence, backend tech detection, buying intent signals, or more comprehensive company filtering.

Strengths

  • โœ“Free browser extension for instant website technology identification
  • โœ“Clean, developer-friendly API with simple integration
  • โœ“More affordable than BuiltWith for basic technology lookups
  • โœ“Open-source heritage with active community contributions

Considerations

  • โ„นSmaller technology database than some competitors โ€” Wappalyzer tracks around 8,100 web technologies across 106 categories. While this covers the most common tools, it's significantly less than BuiltWith (124K+) and narrower than TheirStack, which detects thousands of technologies including backend tools from job postings. If you need comprehensive coverage of niche or enterprise software, Wappalyzer's database may leave gaps.
  • โ„นFrontend-only detection โ€” Like all website scanning tools, Wappalyzer can only detect technologies visible in a site's client-side code. It misses backend databases, data warehouses, DevOps tools, internal business software, and programming languages. For a complete picture of a company's tech stack, you need a different detection methodology.
  • โ„นLimited filtering and lead generation โ€” Wappalyzer is designed for technology lookups โ€” searching individual domains for their tech stack. It lacks the advanced filtering, company attribute searches, and bulk prospecting capabilities that sales and marketing teams need. Building targeted lead lists by combining technology, industry, company size, and location requires a more full-featured platform.
  • โ„นNo intent or hiring signals โ€” Wappalyzer provides a static snapshot of what technologies a website uses right now. It can't tell you what companies are investing in, what technologies they're expanding, or which teams are growing. For sales teams, these intent signals are often more valuable than static technology detection.
Pricing: $250/mo (free tier available)Wappalyzer โ†’
Similarweb logo4. SimilarwebAI-assisted competitive research and technology lookups

Similarweb is a publicly-traded (NYSE: SMWB) digital intelligence platform offering web traffic analytics, audience insights, and competitive benchmarking across 100M+ websites. Its technographic capabilities track 8,000+ web-facing technologies with install/uninstall date history. The platform also includes Sales Intelligence with 100M+ verified contacts, Bombora-powered buying intent signals, and traffic-based sales signals. While technographic and intent data are available, they focus on web-facing technologies and traffic patterns โ€” not backend tools or hiring-based signals.

Strengths

  • โœ“8,000+ web technologies tracked across 100M+ domains
  • โœ“Technology install/uninstall date tracking โ€” see when companies adopt or drop technologies, enabling migration and churn analysis
  • โœ“Comprehensive web traffic analytics and audience insights alongside technology data
  • โœ“Competitive benchmarking with traffic, engagement, and market share context for each technology
  • โœ“Weekly data refresh with daily updates available via Data Feeds for enterprise customers
  • โœ“Official MCP server launched Sept 2025 โ€” integrates with Claude, Cursor, n8n, and Zapier for AI-driven technographic queries
  • โœ“Contextual AI access โ€” MCP provides metadata about available data so AI agents can formulate effective queries autonomously

Considerations

  • โ„นWeb-facing technologies only โ€” Similarweb detects technologies via website scanning (HTML, headers, DNS), so it misses backend tools like databases, ERPs, DevOps platforms, and programming languages that are only visible in job postings.
  • โ„นExpensive if used solely for technographic data โ€” Similarweb's Starter plan begins at $149/mo and technographic API access requires additional data credits. Dedicated technographic providers offer more focused coverage at lower price points.
  • โ„นNo hiring-based intent signals โ€” Technology detection is based on what is installed on websites, not what companies are actively investing in or hiring for. Job-based providers reveal buying intent that website scanning cannot.
  • โ„นRequires existing API key โ€” MCP access depends on an active Similarweb subscription with API access enabled.
Pricing: $149/mo (Starter, annual billing) (free tier available)Similarweb โ†’
Coresignal logo5. CoresignalEmployee and company data at scale

Coresignal is a B2B data infrastructure provider best known for its large employee and company datasets. Its jobs product now spans multiple sources with cross-source merging, but access stays API-first: a search-then-collect flow, a prompt-driven AI Data Search in the dashboard rather than a filterable interface, and monthly credits that expire on the lower plans.

Strengths

  • โœ“468M+ job postings archived since 2020, active and expired
  • โœ“Multi-source jobs dataset merges records from job boards, company websites, and ATS platforms into one canonical listing
  • โœ“Jobs cost 1 credit per record, the cheapest record type in their unified credit pool
  • โœ“Two high-volume plans price credits aggressively โ€” Scale at $3,000 for 4M credits ($0.00075 each) and Elite at $5,000 for 10M ($0.0005 each), below any per-record API rate
  • โœ“The `coresignal_company_multisource_api` MCP tool exposes company records, including the technology signals held on those profiles

Considerations

  • โ„นBase jobs dataset is single-source and un-merged โ€” cross-source deduplication only comes with the multi-source product, so the cheaper tier still returns the same posting several times.
  • โ„นVolume figures are not reconcilable: "500,000+ job listings added daily" sustained since 2020 would be over 1B postings, not the 468M+ they report; a separate page advertises 1.3M jobs a day for discovery, and a third says the 70M+ active postings are revisited every 24h. None of the four figures defines whether it counts unique postings, one row per source, or updates.
  • โ„นOnly a handful of sources โ€” the multi-source jobs dataset combines a professional network plus platforms like Indeed and Glassdoor, far from the 353k+ company career pages, job boards and ATS platforms indexed by alternatives.
  • โ„นNo filterable user interface โ€” the dashboard offers a prompt-driven AI Data Search with previews capped at 100 records, so refining a list means re-prompting rather than adjusting filters, and anything beyond a list export still needs the API and engineering support.
  • โ„นMonthly credits expire below Premium โ€” on Mini, Starter, Pro, and Growth plans unused credits reset every month with no rollover, so bursty workloads pay for capacity they never use.
  • โ„นNo technographic-specific MCP tool โ€” the server exposes company, employee, and job tools only, so technology questions have to be expressed as company queries.
  • โ„นCompany records cost 10โ€“20 credits each, so exploratory agent workflows consume a plan quickly.
Pricing: $49/moCoresignal โ†’

How to Choose the Right Technographic Data MCP Server

Consider Your Primary Use Case

Use CaseRecommended API
Looking up a company's tech stack from AI assistantTheirStack
Finding companies by technology via natural languageTheirStack
AI-powered competitive intelligenceTheirStack
Sales research with tech stack contextTheirStack
Ad-hoc technographic queries from Claude/CursorTheirStack

Key Questions to Ask

  1. Do you need MCP specifically? If you want to look up company tech stacks from AI assistants without writing code, TheirStack is currently the only technographic data provider with a production MCP server.

  2. Do you need backend technology detection? Website scanners like BuiltWith and Wappalyzer only detect frontend technologies. TheirStack's job-based approach detects backend technologies (databases, DevOps, ERPs) too โ€” and all of this is available via MCP.

  3. Which AI client do you use? TheirStack's MCP server works with Claude Desktop, Claude Code, Claude.ai, Cursor, Windsurf, and ChatGPT.

  4. Do you need intent signals? Knowing what technologies companies are investing in (via hiring) is more actionable than knowing what they currently use. TheirStack's MCP server surfaces these intent signals through job-based technology detection.

  5. What's your budget? MCP access is included in all TheirStack plans, including the free tier (200 credits/month). Traditional providers like BuiltWith start at $295/mo and don't offer MCP.

What Can You Do with a Technographic Data MCP Server?

1. Instant Tech Stack Lookups

Ask your AI assistant about any company's technology stack:

  • "What technologies does Stripe use?"
  • "Show me Airbnb's tech stack"
  • "Does Spotify use Kafka?"

TheirStack's technographics tool returns the full technology stack for any company, including both web-facing and backend technologies.

2. Find Companies by Technology

Search for companies using specific technologies through natural language:

  • "Find companies using Snowflake in Germany with 100+ employees"
  • "Which startups in the US are using Kubernetes?"
  • "Show me e-commerce companies that use Shopify"

3. Sales Prospecting with Tech Context

Use technographic data as a buying signal for sales outreach:

  • "Find companies that recently started hiring for Terraform โ€” they probably need cloud consulting"
  • "Which companies use Salesforce but not a CPQ solution?"
  • "Show me companies hiring for data engineers who use Snowflake"

TheirStack's MCP server combines technographic data with hiring signals, giving you intent-driven prospecting directly from your AI assistant.

4. Competitive Intelligence

Monitor technology adoption without building dashboards:

  • "How many companies are using Datadog vs New Relic?"
  • "Which companies recently adopted HubSpot?"
  • "Track adoption of React vs Vue.js in European startups"

How to Connect to TheirStack's Technographic MCP Server

Getting started takes under a minute. TheirStack's MCP server uses OAuth โ€” no API key management needed.

Claude Code:

claude mcp add TheirStack --transport http https://api.theirstack.com/mcp

Cursor: Add to your .cursor/mcp.json:

{
    "mcpServers": {
        "theirstack": {
            "url": "https://api.theirstack.com/mcp"
        }
    }
}

For more clients and detailed setup, see the MCP documentation.

Frequently Asked Questions

Conclusion

MCP is transforming how teams access technographic data โ€” turning complex API integrations into simple conversations with AI assistants. Today, TheirStack is the only technographic data provider with a production MCP server, offering:

  • Natural language tech stack lookups for any company in their database
  • Company search by technology โ€” find companies using specific tools, frameworks, and platforms
  • Backend technology detection โ€” databases, DevOps, ERPs, and internal tools that website scanners miss
  • Intent signals โ€” know what companies are investing in through hiring data
  • Works with every major AI client โ€” Claude, Cursor, ChatGPT, Windsurf, and more
  • Same pricing as the REST API, including a free tier

While established providers like BuiltWith, Wappalyzer, and HG Insights offer technographic data via APIs, none currently support MCP. If you want to access technographic data from your AI assistant, TheirStack is the clear choice.

Ready to get started? Connect TheirStack's MCP server and start exploring company tech stacks from your AI assistant today.