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  3. Bagiq
Bagiq logo
Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 6:46:34 AM

Bagiq

User RatingsBe the first to rate and review this MCP server!Ownership verifiedThe owner proved control of this listing via a GitHub README, site badge, or DNS TXT record.
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sportsbag-analysisoptimizationrecommendations

Analyzes bag configurations to find gaps, overlaps, filler options, and minimal setups.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "bagiq": {
      "url": "https://data.bagiq.app/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (6) Directory Badge AlternativesπŸƒ More in Sports

Overview

The bagiq MCP server analyzes and optimizes bag configurations through the hosted MCP endpoint at data.bagiq.app/mcp. Its capabilities include detecting missing items, identifying overlap, recommending fillers, and constructing minimal bags. Reach for it when an agent needs structured help evaluating or reducing a bag rather than general sports information. The available material does not specify authentication, client setup steps, or pricing.

Use cases

β€’Detect missing items in a bag configuration
β€’Identify overlapping items or functions
β€’Recommend filler additions
β€’Construct a minimal bag

Key features

β€’Gap detection
β€’Overlap analysis
β€’Filler recommendations
β€’Minimal-bag construction
β€’Hosted MCP endpoint

Capabilities & Tool Schemas (6) ~2.4k tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Verified live Verified liveCaptured by calling this server’s live tools/list endpoint.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Bagiq.

analyze_bag

Performs a complete BagIQ analysis on a player's disc golf bag. Can accept a list of discs OR a BagIQ share link (e.g. 'https://app.bagiq.app/?s=4fisr8a7'). Returns slot coverage percentage, bag identity label (e.g. 'Overstable-heavy', 'Chaos bag'), top missing shot gaps, redundant overlaps, and mapped flight coordinates.

find_bag_gaps

Identifies missing shot shapes and unserved flight slots across BagIQ's 9 core slot targets (putter, midrange, fairway, and distance drivers), ranking voids by severity. Accepts discs list or a BagIQ share link.

detect_overlap

Detects redundant molds occupying the same flight slot or shot role, ranking pairs by overlap severity and recommending which disc to keep vs cut. Accepts discs list or a BagIQ share link.

recommend_bag_fillers

Suggests the highest-rated discs to fill missing shot slots or close voids in the bag based on BagIQ matrix coordinates and DiscList ratings, with interactive 1-click 'Add to Bag' deep links. Accepts discs list or a BagIQ share link.

build_minimal_bag

Extracts an optimal 3-to-5 disc minimalist setup from a larger bag, maximizing shot coverage while detailing necessary compromises. Accepts discs list or a BagIQ share link.

get_shared_bag

Retrieves and inspects a player's saved disc golf bag from a BagIQ share link (e.g. 'https://app.bagiq.app/?s=4fisr8a7'), short share ID, or slug link. Returns the full disc breakdown with plastics, wear states, confidence ratings, slot coverage, and interactive BagIQ deep links.

How Bagiq works

What bagiq MCP server does

The bagiq MCP server provides tools for analyzing the contents or structure of a bag. Its documented focus is optimization: it can identify gaps, find overlapping items, suggest filler options, and help build a minimal bag. These capabilities are relevant when a developer wants an agent to evaluate a bag configuration against a target rather than simply list items.

The available description does not define a particular bag type, item schema, optimization objective, or domain-specific rule set. Applications should therefore treat the server’s own tool definitions as the source of truth for accepted inputs and returned results. The listing also does not state whether recommendations are based on a fixed catalog, user-provided data, or another data source.

How it works

The service is exposed through the MCP endpoint at https://data.bagiq.app/mcp. An MCP-compatible client can connect to that endpoint and make the bag-analysis capabilities available to an agent. Once connected, the agent can use the server’s tools for the four documented tasks: gap detection, overlap analysis, filler recommendations, and minimal-bag construction.

The material does not provide tool names, request examples, response schemas, transport details beyond the MCP URL, or a description of how the server ranks alternatives. Developers should inspect the endpoint or client integration documentation before building application logic that depends on specific parameters or response fields.

Setup and configuration

Configure an MCP client with the hosted endpoint:

text
https://data.bagiq.app/mcp

No package installation command is provided because the listed source is a hosted endpoint rather than a package repository. The available material does not document environment variables, API keys, OAuth, account requirements, or other credentials. It also does not identify specific compatible clients, so client support should be verified in the client being used.

A practical integration should first confirm that the client can reach the endpoint and discover its available tools. Because setup instructions and authentication requirements are not included, do not assume that additional headers, secrets, or configuration values are required or optional until the service confirms them.

Tools and capabilities

The documented capabilities are:

  • Detect gaps in a bag configuration.
  • Analyze overlap between bag items or functions.
  • Recommend filler items or additions.
  • Build a minimal bag configuration.

These descriptions establish the intended use cases but do not expose exact tool identifiers or invocation formats. The bagiq MCP server should be selected for agent workflows centered on bag composition and reduction, not for unrelated sports, inventory, or recommendation tasks unless the endpoint’s own documentation confirms those uses.

Limitations and notes

The source material consists of a short description and an endpoint URL; no README is available. As a result, the listing cannot confirm supported clients, authentication, rate limits, licensing, pricing, data retention, item catalogs, or the meaning of β€œfiller.” It also cannot establish whether minimal-bag results are optimized for size, coverage, cost, weight, or another criterion.

Before production use, validate the endpoint’s current tool schema, required inputs, error behavior, and any access restrictions. The bagiq MCP server’s documented scope is limited to bag analysis and optimization capabilities, so broader behavior should not be inferred from the service name or sports category.

Read the full README β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Maintenance
Actively maintained
Status declared by the project or listing owner.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
2 installs
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Bagiq

Use the hosted MCP endpoint at https://data.bagiq.app/mcp in an MCP-compatible client. Specific client configuration steps are not provided.

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Technical Specs & Signals

CategoryπŸƒSports
PricingFree
More technical detailsExpand β–Ύ
TransportSSE (Remote)
AuthNo auth required
MaintenanceActively maintained
Last updatedSep 8, 2026
Views4
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs2
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
77Quality signal: Great Β· 77/100How this signal is calculated β–Ύ
Server availability25/25
Verified ownership20/20
Documentation & tools30/30
Adoption & activity1/15
Community engagement1/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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