Optimization Solver (LP / MIP Scheduling)
ai.saifsPublished by saifs.aiOfficial publisherv1.0.0Updated Oct 29, 2026
Solve production, blending, transport and scheduling problems with LP and MIP.
The publisher's own server: Customer Intelligence & Segmentation
Overview
Remote MCP server that solves linear and mixed-integer optimization problems, returning optimal plans, shadow prices and infeasibility diagnostics.
- What you can do
- Solve production mix, blending, transportation and shift-scheduling problems from pre-built templates
- Solve a general LP from a custom objective and constraints
- Explain results: which constraints bind, shadow prices and sensitivity
- Report conflicting constraints when a problem is infeasible
- When to use it
- Useful when an assistant needs to compute an optimal allocation or plan — production quantities, least-cost blends, shipping plans, staffing coverage or budget allocation — rather than estimate it, and to explain what each constraint costs.
- Requirements
- Remote Streamable HTTP endpoint; nothing to install. OAuth 2.1 sign-in (PKCE with dynamic client registration) through the client's browser prompt on first use. No environment variables or headers declared.
Installation
In SourceWeft
- Open Optimization Solver (LP / MIP Scheduling) 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%2Foptimization-solver/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": {
"optimization-solver-lp-mip-scheduling": {
"type": "http",
"url": "https://optimization-solver-mcp-microsoft.saifs.ai/mcp"
}
}
}README
Optimization Solver (LP / MIP Scheduling)
A general constraint-optimization server: describe the objective and constraints, get the optimal plan plus shadow prices. Pre-built templates cover production mix, blending, transportation and shift coverage so callers do not have to write an LP. Infeasible problems return the conflicting constraints.
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://optimization-solver-mcp-microsoft.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
- “Find the best production mix within capacity”
- “Allocate budget across projects”
- “Schedule jobs on machines”
Support
- Website: https://saifs.ai
- Issues: https://github.com/Saify-Technologies/saifs-ai-mcps-docs/issues
- Privacy: https://saifs.ai/privacy_policy
Source: servers/optimization-solver/README.md at commit f5c0037
Tools
0Version history
1- v1.0.0LatestOct 29, 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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