The library

causal-mcp · Quantitative research and stress testing with reproducible market simulation datasets.

read-only-mysql-mcp-server · Safe agent access to structured relational data with query-level read-only enforcement.

tripitaka-mcp · Buddhist scholarship, comparative religion research, and sutra-based retrieval systems.

server-map · Geospatial analysis and map-based workflows where agents need interactive map visualization.

unstructured-client · When you need reliable document partitioning with a managed API and want MCP integration for AI workflows.

mcp-server-kibana · Observability agents managing Elastic Stack dashboards and reports.

kusto-mcp-server · Use when you need to analyze time-series data or detect anomalies in Azure Data Explorer.

daedalmap · When you need cross-dataset geographic queries (disasters, FX, demographics) with a unified loc_id key and don't mind eventual consistency on paid packs.

mcp-server · Product analytics teams exploring user event data via SQL without raw database access.

bps-mcp-server · Indonesian government analysis agents requiring official statistics with semantic intent routing.

redash-mcp · BI teams running saved Redash queries from agent workflows with full CRUD on queries.

on-chain-data · Crypto agents needing multi-chain blockchain intelligence via REST or MCP transport.

db · Quick ad-hoc database queries during development when Docker Compose is the deployment model and CLI access is faster than GUI tools.

check-updates-gemini · Updating conflict dataset with web-grounded search and automated data gap filling with source validation.

wiki-ingest · Knowledge management teams needing atomic, traced ingestion of documents with contradiction detection and multi-page consistency.

backtest · Validating sports betting edge with historical backtests before live wagering.

run-analysis · Dispatch commands to the right handler without boilerplate.

verify · Catching convention mismatches and bulk-boundary inconsistencies in advanced mathematics

debug-pipeline · Rapid triage of multi-stage data pipeline failures in production with clear diagnostic separation per pipeline stage.

deep-research · When you need a deep, multi-source, fact-checked research report with confidence gates

analyst · Exploratory investigation of datasets when the question is broad (profile, compare, find patterns) vs narrow hypothesis testing

data-engineer · Building reliable, tested data infrastructure when source systems are messy or heterogeneous

ml-engineer · End-to-end model development from data to evaluation when baselines and production requirements are specified

weather-analyst · Multi-period weather analysis when hour-by-hour comparisons and extreme event detection beat simple forecasts

causal-inference · Causal inference when observational data and rigorous assumption testing beat correlation studies

kg-agent · Knowledge graph construction from domain-specific structured data when precision is measurable

explorer · Starting a research project when you need to know what data exists and how hard it is to access

academic-researcher · Literature assembly when you need verifiable, locally-cached citations with evidence of download success

metadata-checker · Ensuring UBERON term metadata includes proper creator attribution and citations

fraud-quality · When detecting data quality issues and leakage patterns in fraud datasets.

herddb-k3s-bench · When you need herddb-k3s-bench expertise as a specialist agent.

bear-analyst · Adversarial investment review before capital deployment.

monitor · Real-time on-call alerting with context-aware thresholds.

research-specialist · When you need deep, multi-source research on a topic with citations and expert identification.

data-content-engineer · Specialized subagent work that requires domain expertise and isolated context.

domain-reviewer · When a refactoring needs systematic validation that the code still compiles, passes tests, and maintains API contracts at scale across a large codebase.

trace-pipelines · When understanding end-to-end call chains with explicit intermediate data is critical.

tensorfeed · Auditing code for authorization, RLS, and authentication vulnerabilities before launch.

encode-toolkit · Flagging specific coding-standard violations with inline docs links at scale.

chief-data-officer-advisor · Chief Data Officer or CPO deciding on data moat strategy, training data sourcing, and infrastructure architecture when legal + product + financial trade-offs collide.

snowflake-development · When building production data pipelines in Snowflake requires serverless compute, AI-native SQL functions, and dbt workflow management.

data-quality-auditor · When preparing data for analysis or ML requires systematic audit of quality issues rather than spot-checking a few rows.

statistical-analyst · Validating A/B experiment results with rigorous statistics instead of eyeballing conversion rates or running tests that are too small

universal-scraping-architect · Scraping web content with automatic fallback to local extraction when Firecrawl quota is low, avoiding token blowouts on large batch jobs

youtube-full · Rapidly ingesting spoken content (podcasts, tutorials, conference talks) with searchable timestamps and channel monitoring at scale.

pulse · Taking rapid pulse on trending topics, sentiment, and community problems across multiple platforms when speed and cross-platform patterns matter.

encode-toolkit · Genomics researchers who need to search ENCODE experiments, download files reliably, and cross-correlate with disease/population databases in a single workflow.

give-claude-eyes · Developers who want to add native video/image understanding to Claude Code workflows without calling external vision APIs directly (Qwen abstracts the complexity).

kegg-mcp-server · Bioinformatics researchers who need quick access to KEGG's pathway, gene, and disease databases without maintaining local KEGG files or parsing KGML manually.

msapps-apify-scraper · Automating large-scale web data extraction through pre-built, maintained Apify Actors.