DWIN Research Adoption MCP
A local-first MCP that turns AI research into measured, human-approved setup changes. It combines seven bounded capsules for discovery, evidence, and evaluation, allowing agents to index local setups, parse research PDFs, and propose narrow changes without accessing private data or requiring API keys.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Index and classify local AI setup instructions and configurations
- Parse local research PDFs and extract evidence
- Propose narrow system changes based on research findings
- Evaluate baseline vs intervention under declared gates
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
dwin-research-adoption 0.1.0
{
"version": "0.1.0",
"transport": "stdio",
"identifier": "dwin-research-adoption",
"registryType": "npm"
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"dwin-research-adoption-mcp": {
"command": "npx",
"args": [
"-y",
"dwin-research-adoption@0.1.0"
]
}
}
}Cline
{
"mcpServers": {
"dwin-research-adoption-mcp": {
"command": "npx",
"args": [
"-y",
"dwin-research-adoption@0.1.0"
]
}
}
}VS Code
{
"servers": {
"dwin-research-adoption-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"dwin-research-adoption@0.1.0"
]
}
}
}Claude Desktop
{
"mcpServers": {
"dwin-research-adoption-mcp": {
"command": "npx",
"args": [
"-y",
"dwin-research-adoption@0.1.0"
]
}
}
}Let your agent find its tools
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