MCP Server

Give your AI agents direct access to case study search, company analysis, and vendor comparison.

What is MCP?

Model Context Protocol (MCP) lets AI agents use external tools. The casestudies.dev MCP server gives any MCP-compatible agent (Claude Desktop, Claude Code, ChatGPT with plugins, custom agents) access to our full API through natural conversation.

Setup

Claude Desktop

Add to your claude_desktop_config.json:

1 {
2   "mcpServers": {
3     "casestudies": {
4       "command": "python",
5       "args": ["/path/to/mcp-server/server.py"],
6       "env": {
7         "CASESTUDIES_API_KEY": "cs_live_your_key_here"
8       }
9     }
10   }
11 }

Claude Code

$ claude mcp add casestudies python /path/to/mcp-server/server.py -e CASESTUDIES_API_KEY=cs_live_xxx

Requirements

Python 3.10+
httpx (pip install httpx)
A casestudies.dev API key

Available tools

Tool	What it does
`search_case_studies`	Semantic search with natural language queries
`get_case_study`	Get full details of a specific case study
`search_companies`	Find companies by name or industry
`get_company_analysis`	Competitor analysis — top industries, clients, outcomes
`compare_vendors`	Side-by-side comparison of up to 5 companies
`get_company_timeline`	Chronological view for due diligence

Example prompts

Once connected, just ask:

“Find case studies about companies that improved onboarding conversion”
“What industries does Checkout.com serve? Show me their notable clients”
“Compare GoCardless, Checkout.com, and Paddle for ecommerce payments”
“Show me how fintech companies have reduced customer churn”

Source code

The MCP server is open source: github.com/casestudies-dev/casestudies/mcp-server

1	{
2	"mcpServers": {
3	"casestudies": {
4	"command": "python",
5	"args": ["/path/to/mcp-server/server.py"],
6	"env": {
7	"CASESTUDIES_API_KEY": "cs_live_your_key_here"
8	}
9	}
10	}
11	}