Assessment Intelligence
ai.saifsPublished by saifs.aiOfficial publisherv1.0.1Updated Oct 30, 2026
Analyse tests for item quality, true ability, reliability and learner mastery.
The publisher's own server: Customer Intelligence & Segmentation
Overview
Remote MCP server that runs psychometric analysis on assessment response data, giving an assistant IRT item stats, ability estimates, reliability and mastery…
- What you can do
- Analyse items and tests: per-item IRT difficulty, discrimination and guessing, flags for bad items, and explanations of why an item is good or bad
- Estimate each learner's true ability (theta) separately from test difficulty, plus Cronbach's alpha and item-total correlations
- Select the next question from an item bank for computerized adaptive testing
- Track skill mastery with Bayesian Knowledge Tracing and flag learners whose trajectory predicts failure
- When to use it
- Useful when you have assessment or quiz response data and want an assistant to judge item quality, separate learner ability from test difficulty, check reliability, pick adaptive next questions, or track mastery over a learning history.
- Requirements
- A remote Streamable HTTP endpoint; nothing to install. OAuth 2.1 sign-in with PKCE and dynamic client registration, so the client opens a sign-in page on first use. Works with OAuth-aware clients such as VS Code/GitHub Copilot, Claude, and Claude Code.
Installation
In SourceWeft
- Open Assessment Intelligence in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/ai.saifs%2Fassessment-intelligence/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"assessment-intelligence": {
"type": "http",
"url": "https://assessment-intelligence-mcp.saifs.ai/mcp"
}
}
}README
Assessment Intelligence
Psychometric analysis over assessment response data: Item Response Theory for item difficulty / discrimination / guessing, true ability (θ) separate from test difficulty, Cronbach’s alpha reliability, computerized adaptive next-item selection, and Bayesian Knowledge Tracing of skill mastery. Flags items that measure the wrong thing and learners whose trajectory predicts failure.
Install
VS Code / GitHub Copilot
Add to .vscode/mcp.json (workspace) or your user mcp.json:
Then start the server from the MCP view and sign in when prompted.
Claude (claude.ai, Desktop)
Settings → Connectors → Add custom connector, and paste:
Claude Code
Any other MCP client
Point it at https://assessment-intelligence-mcp.saifs.ai/mcp using the Streamable HTTP transport. The server returns 401 with a
WWW-Authenticate: Bearer … resource_metadata=… challenge, so OAuth-aware clients sign in automatically.
Tools
Example prompts
- “Here’s this mock’s response matrix. Which questions have negative discrimination and should be dropped?”
- “Estimate each student’s true ability on this test, not just their raw percentage.”
- “From this skill history, who is at risk of failing, and what has each person actually mastered?”
Support
- Website: https://saifs.ai
- Issues: https://github.com/Saify-Technologies/saifs-ai-mcps-docs/issues
- Privacy: https://saifs.ai/privacy_policy
Source: servers/assessment-intelligence/README.md at commit f5c0037
Tools
0Version history
2- v1.0.1LatestOct 29, 2026
- v1.0.0Oct 22, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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