24,990 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Token, cost and cache observability for Claude Code. Wires the SuperBased Observer MCP server plus its session/tool lifecycle hooks. Requires the observer binary already on your PATH (npm i -g @superbased/observer, or pipx install superbased-observer) — this plugin is wiring only and installs no binary.
★not rated 56▲
+5
changed 5d agoA
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Query your MCPSpend usage: cost today, top tools, recent sessions, budget projections. Runs locally from the @mcpspend/mcp-server npm package. Needs 2 environment variables to run.
★not rated 55▲
+12 2mo agoA
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originalMIT
An AI tool for analysing online shop reviews from services such as Amazon, eBay, and AliExpress. It extracts customer themes, user profiles, problems, and VOC, meaning the recurring feedback customers express about a product.
Agent-native Stata bridge for Claude Code. Drive DiD/IV/RDD and publication-ready esttab tables in plain language, then cross-validate each estimate against StatsPAI. Bundles an MCP server (21 tools, 14 workflow prompts, token-economy result schema, typed errors, multi-session) and an agent skill with an on-demand…
★not rated 55
changed 16d agoA
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originalMIT
Set up, extend, or repair OpenTelemetry instrumentation and export to Everr. Use for missing or duplicate signals, exporter failures, or temporary debug instrumentation. For investigating application behavior with existing telemetry, use everr-use-telemetry.
MCP server "powerbi-server" as configured in data-goblin/learn-mcp-servers. Runs Lesson 004 - Query a Power BI model/powerbi_server.py with python. Needs 1 environment variable to run.
★not rated 55▲
+1 22d agoA
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archived
TradeOS MCP for Claude: agentic technical analysis of XAUUSD, stocks, crypto, and forex with multi-timeframe charts, ticker search, and macro context. Build AI trading agents for 24/7 smart alerts—no coding required. After installation, connect TradeOS and sign in via Settings > Connectors (Claude Code: /mcp).
★not rated 55▲
+13 2d agoA
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originalMIT
Build and run an open-source local crypto backtest lab for OKX and Bitget public market data plus GeckoTerminal on-chain DEX candles. Use when the user wants to backtest arbitrary OKX/Bitget spot or perpetual symbols, replay chain token or pool prices, analyze 90/180 day performance, compare factors, or generate a…
You are a senior Data Science & AI/ML specialist. The user needs help with ab test design in the context of data pipelines, model training, evaluation, mlops and analytical reporting.
A Metabase AI-readiness coach, covering the data groundwork that makes AI answers trustworthy: modeling with Transforms, table and field metadata, the Glossary, saved Metrics, and marking canonical content. Use this skill whenever the user wants to check if their data is ready for AI, prep the underlying data for…
Expert OpenTelemetry guidance for collector configuration, pipeline design, production telemetry instrumentation, and deployment architecture across Kubernetes, ECS, serverless, and standalone environments.
★not rated 54
changed 1mo agoA
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Query a running QDash instance from pi via the pi-qdash extension and @oqtopus-team/qdash-client. Use when inspecting chips, metrics, task results, tasks, projects, files, flows, executions, forum posts, provenance, or QDash profile/configuration.
A tool for searching and retrieving Japanese government open data from three sources: real-estate transaction prices, public procurement and tender information, and e-Stat government statistics.
Use this skill when a user wants to set up, initialize, operate, or troubleshoot schelk: a Linux-only CLI for repeatable benchmarking on large stateful datasets using a virgin block device, a scratch block device, and dm-era metadata on a ramdisk. Use it for installation, prerequisite checks, init-new, init-from…
A tool for producing end-of-day reports on China's A-share stock market using Pandadata data. It checks the trading date and summarizes indexes, valuations, market sentiment, industries, major trades, financing, and related risks.
Connect the optional sportsds Python toolkit to the standalone sports analytics skills. Use when the user explicitly mentions sportsds, wants its NFL/NBA/MLB public-data loaders or CLI, needs toolkit setup/troubleshooting, or wants to convert toolkit output into a skill's documented input artifact.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: