Mastery Pathing
ai.saifsPublished by saifs.aiOfficial publisherv1.0.1Updated Oct 30, 2026
Map prerequisites, track mastery and recommend the next topic each learner is ready for.
The publisher's own server: Customer Intelligence & Segmentation
Overview
Remote MCP server that maps topic prerequisites, estimates per-skill mastery and recommends what a learner should study next.
- What you can do
- Build a validated prerequisite graph from topics and dependencies, with cycle detection and gap flags
- Estimate per-skill mastery across the graph from learner responses using BKT and Elo
- Recommend the next topic a learner is ready for and explain the reasoning with mastery evidence
- Diagnose prerequisite gaps blocking a target topic and return a remediation path
- Generate a mastery-aware sequence from the current state to a goal, and rate item and learner difficulty on one Elo scale
- When to use it
- Useful for tutoring, curriculum or learning-platform work where an assistant must decide what a learner should study next, find gaps blocking a goal, or order remediation steps from a syllabus with prerequisites.
- Requirements
- A remote Streamable HTTP endpoint; nothing to install. OAuth 2.1 sign-in with PKCE and dynamic client registration is required, so the client opens a sign-in page on first use. Works with OAuth-aware clients such as VS Code/GitHub Copilot, Claude connectors and Claude Code.
Installation
In SourceWeft
- Open Mastery Pathing 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%2Fmastery-pathing/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": {
"mastery-pathing": {
"type": "http",
"url": "https://mastery-pathing-mcp.saifs.ai/mcp"
}
}
}README
Mastery Pathing
The “what should this learner study next?” engine: a validated prerequisite graph, per-skill mastery (Bayesian Knowledge Tracing / Elo), and a knowledge-frontier recommendation. Diagnoses the gaps blocking a goal and returns a mastery-aware sequence from the current state to that goal.
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://mastery-pathing-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 our syllabus with prerequisites. What should this student study next?”
- “They want to reach quadratic equations. Which gaps are blocking that, and in what order should we remediate?”
- “Build a learning sequence from their current mastery to the chapter on recursion.”
Support
- Website: https://saifs.ai
- Issues: https://github.com/Saify-Technologies/saifs-ai-mcps-docs/issues
- Privacy: https://saifs.ai/privacy_policy
Source: servers/mastery-pathing/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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