Ramp Data MCP Server
Connect to the Ramp Data MCP server to explore software category adoption, vendor benchmarks, and AI adoption trends using AI agents on Gumloop, Claude, Cursor, or Codex.
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Ramp Data
Installation
Set up the Ramp Data MCP server in Gumloop
Do this once to provision your hosted server URL.
Create a Gumloop account
To use this MCP, you need a Gumloop account. If you don't have one yet, sign up and start a 14-day free trial.
Add and authorize the Ramp Data server
In Gumloop, open Connectors and add Ramp Data. You'll be sent to Ramp Data's sign-in screen to grant access. The credential is stored securely in Gumloop.
Then use it in your client
Use in GumloopUse Ramp Data in an agent
Once Ramp Data is set up, just open any Gumloop agent, add Ramp Data as a connector, and start chatting with the agent.
Tools (9)
Ramp Rate List Categories
List Categories List all available Ramp Rate software categories, call this first to discover valid category names. Returns a list of category objects each with a 'software_category' field (e.g. 'CRM', 'Observability', 'Communication').
Ramp Rate Get Category Summary
Get Category Summary Get adoption stats for a single software category including adoption rate, YoY/MoM change, growth rank, vendor count, and FTE segment breakdown. Example: {"category": "CRM"}. Call ramp_rate_list_categories first to discover valid category names.
Ramp Rate Get Category Vendors
Get Category Vendors Get ranked vendor leaderboard within a category. Returns per-vendor adoption rates, spend share, growth metrics, and competitive rankings. Note: competitor_switch_rate is the share of within-category switchers who chose this vendor (a win rate among switchers), NOT a retention or churn rate. Example: {"category": "CRM", "limit": 10}. Call ramp_rate_list_categories first to discover valid category names.
Ramp Rate Resolve Vendor
Resolve Vendor Resolve a vendor name to its canonical slug and list its software categories. Pass a human-readable vendor name and get back the vendor_slug needed by other tools. Example: {"vendor_name": "Slack"} returns {"vendor_slug": "slack-technologies", "software_categories": ["Communication"]}.
Ramp Rate Get Vendor Profile
Get Vendor Profile Get a vendor's Ramp Rate profile across all categories it belongs to. Accepts a canonical vendor slug and can recover from common vendor names, domains, Slack links, Markdown links, and public Ramp vendor URLs. Example: {"vendor_slug": "slack-technologies"}.
Ramp Rate Compare Vendors
Compare Vendors Compare adoption metrics across 2-10 vendors side by side. Requires vendor_slugs (call ramp_rate_resolve_vendor first to get slugs from names). Example: {"vendor_slugs": ["slack-technologies", "salesforce"]}.
Ai Index Get Adoption
Get Ai Adoption Get AI adoption snapshot with vendor breakdown. Returns a list of monthly records, each containing the overall AI adoption share and per-vendor adoption shares (e.g. OpenAI, Google, Anthropic). Per-vendor shares can overlap because customers may use multiple AI vendors. Use `months` to request up to 120 months of history (default 1); available history begins around January 2023, so fewer months may be returned.
Ai Index Get Adoption By Sector
Get Ai Adoption By Sector Get AI adoption broken down by industry sector. Returns a list of monthly records with per-sector AI adoption shares (e.g. Technology, Healthcare, Finance). Use `months` to request up to 120 months of history (default 1).
Ai Index Get Adoption By Size
Get Ai Adoption By Size Get AI adoption broken down by company size. Returns a list of monthly records with per-size-segment AI adoption shares. Use `months` to request up to 120 months of history (default 1).
What is Ramp Data MCP?
The Ramp Data MCP server gives AI agents access to Ramp’s software spend and AI adoption benchmarks. That means agents can list software categories, pull adoption summaries and vendor leaderboards for a category, resolve and profile individual vendors, compare vendors side by side, and read AI adoption trends broken down by sector and company size. This is Ramp’s aggregated, anonymized market data (its Ramp Rate categories and its AI Index), so the numbers reflect how companies across Ramp’s network adopt and spend on software.
Ramp Data MCP is a separate server from the Ramp MCP, and the difference matters. Ramp Data MCP works with market benchmarks about the broader software landscape, so its tools return aggregated, anonymized data and do not expose your own cards, transactions, bills, or reimbursements. If you want an agent to work with your company’s own Ramp spend, that is the job of the separate Ramp MCP, which is a different integration from this one.
If you research software spend or vendor adoption, the data is scattered all over the place. You might piece together category trends from analyst reports, guess at how widely a tool is adopted, and rebuild the same comparison every time a new vendor comes up. Instead, try this MCP server with an AI agent: name the category or the vendors you care about, and your AI agent will pull the adoption stats and build the comparison for you.
MCP stands for Model Context Protocol. It’s an open standard that gives AI agents a way to connect to external tools and services. Instead of scraping reports or wiring up the API yourself, handling authentication, and parsing responses, you connect Ramp Data to Gumloop once. After that, you can explore software and AI adoption benchmarks just by chatting with your AI agent.
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What you can do with Ramp Data MCP on Gumloop
List software spend categories
Pull the available Ramp Rate software categories, so an agent can find the right category before it digs into adoption stats.
Get category adoption summaries
Read adoption stats for a single category, including adoption rate, year-over-year and month-over-month change, growth rank, vendor count, and a breakdown by company size (FTE segment), so an agent can size up a market and see how adoption differs for small versus large companies.
See vendor leaderboards by category
Pull the ranked vendor leaderboard within a category, with per-vendor adoption rates, spend share, and growth metrics, so an agent can show who leads a space and who’s rising.
Resolve and profile vendors
Turn a vendor name into its canonical profile and read that vendor’s benchmarks across every category it belongs to, so an agent can research a company without you hunting for the right record.
Compare vendors side by side
Compare adoption metrics across two to ten vendors at once, so an agent can build a clean head-to-head for a shortlist or a competitive review.
Read AI adoption trends
Pull the AI adoption snapshot overall and broken down by industry sector and company size, with per-vendor shares (for example OpenAI, Google, and Anthropic) and up to 120 months of history back to early 2023, so an agent can track how fast AI tools are spreading, where, and which vendors are winning.
How to connect the Gumloop Ramp Data MCP Server
- 1
Create a Gumloop account
Sign up at gumloop.com. Every new account starts with a 14-day free trial.
- 2
Add the Ramp Data MCP server
Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.
- 3
Start using Ramp Data in your AI workflows
That's it. That’s it: your hosted Ramp Data MCP server is live, and the same server URL works in any MCP client you’ve added it to. Your AI agent can now explore software category adoption, vendor benchmarks, and AI adoption trends on request. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.
Ramp Data MCP use cases
Market research for competitive intelligence teams
A Gumloop agent can pull the vendor leaderboard for a category, profile the top players, and compile a market snapshot into a Google Doc, so competitive intel teams get a current read without stitching together analyst reports.
Vendor shortlisting for procurement and finance teams
When a team is evaluating tools, an agent can compare the shortlisted vendors side by side on adoption and growth, then summarize the tradeoffs in a Slack message, so procurement decisions start from real benchmarks.
AI adoption benchmarking for strategy teams
An agent can pull AI adoption trends by sector and company size, with the per-vendor breakdown, compare your segment against the broader market, and write the findings into a strategy deck, so leaders see where AI spend is heading.
Category trend tracking for investors
An agent can track adoption summaries for the categories a fund cares about, flag month-over-month and year-over-year movement, and log the changes to a shared sheet, so investors spot momentum early.
Cross-tool research agents
Combine Ramp Data with Slack, Google Sheets, and Notion in a single agent. Pull the latest category and vendor benchmarks, write them to a tracker, and post the highlights to a channel, so market data reaches the rest of your team.
Why use Gumloop for Ramp Data MCP
Connect once, no API wrangling
Working with Ramp’s benchmark data directly means wiring up the API, handling authentication, and parsing responses in code. With Gumloop you sign in to Ramp once through OAuth and the connection is handled for you. No config files, token juggling, or coding against the Ramp Data API necessary.
Works with multiple MCP clients
Use the Ramp Data MCP server in Claude Desktop, Cursor, Codex, or directly inside Gumloop agents. Same server URL, works with any MCP client.
Chain Ramp Data with 100+ other integrations
Combine Ramp Data with Slack, Google Sheets, Notion, and other MCP tools in a single AI agent. Pull the benchmarks, process them, and write the result wherever your team works.
Enterprise-grade and scalable
Built for teams, with role-based permissions and dedicated support for Pro users. For details on Gumloop’s security practices, see trust.gumloop.com.
Start with a free trial
You can test the Ramp Data MCP integration during Gumloop’s 14-day free trial before committing. Paid plans start at $37/month.
Frequently asked questions
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