The library

configure-mcp-server · Configuring AI agents to access enterprise search via Glean's MCP servers.

doit-mcp-server · Monitoring cloud costs and detecting infrastructure anomalies across multiple clouds.

mcp-server-airbnb · Searching and analyzing Airbnb listings with location and price filtering.

admina-mcp-server · Managing device inventory, employee identities, and IT asset metadata.

efficient-gitlab-mcp-server · Progressive-disclosure access to GitLab projects with read/write capabilities.

tiny-stdio-mcp-server · Building minimal MCP servers with typed tools and rich content helpers.

mcp-server · Real-time monitoring of trading positions and signals in financial systems.

mcp-server · Accessing cryptocurrency exchange data and DeFi platform information.

ai-mcp-server · Managing member records and CRM data through MemberJunction integration.

notion-mcp-server · Reading and updating Notion database entries from AI agents programmatically.

phrase-mcp-server · Professional document translation with industry-specific terminology and memory support.

mcp-server · On-demand GPU clusters for AI inference or fine-tuning without Kubernetes complexity.

mcp · Bridge MCP servers into developer CLIs with automatic argument coercion and caching.

context-awesome · Agents needing high-quality vetted resource recommendations instead of general web search.

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.

echo3s-mcp · Multimedia agents converting multilingual documents into narrated content with per-character voice actors.

czech-vat-mcp · Business compliance agents verifying Czech company registration and VAT status.

pr · One-command workflow to atomically format, stage, and push a PR without manual git steps.

km · Switching cognitive modes (e.g., from coding to research) without losing session continuity.

Q · MCP-first code intelligence queries when you need call/def/ref across the whole codebase without manual grep.

qa · Verifying semantic and regex search implementations work correctly across all file types and languages without blocking or pagination bugs.

cr · Catching language-specific bugs and design issues before commit by applying both project-local and generic review profiles to changed code.

ci · Testing a Haskell-to-Rocq compiler change locally before pushing by running the exact GitHub Actions workflow steps without Docker.

do · Managing multi-wave work streams where wave-dependent model routing and context-aware task selection accelerate delivery over manual task picking.

av · Programmatically launching and controlling multiple AI agent sessions without TUI overhead when orchestrating batch work or CI/CD-driven agent tasks.

pr · Separating code review (clean diff) from planning artifact archiving, allowing reviewers to focus on implementation while preserving design rationale as write-once history.

rlm · Deep codebase analysis on large repositories requiring multi-level reasoning without manual context pruning, routing models and tool access by depth/effort.

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

ox · Maintaining team coding standards and recording agent execution traces when working in a SageOx-enabled team project.

qf · Gate code commits and PRs by enforcing type safety, linting, and RDO-specific conventions (database, auth, MUI Grid v2) before review.

fi · Marking a sprint or phase complete by bundling build verification, documentation updates, dialog export, and git history into a single protocol.

ui · Browsing and managing Claude Code dialogs in a browser interface when command-line export is insufficient or team collaboration is needed.

es · Grounding agent fact-checking in explicit evidence standards when making claims, combining project-agnostic and project-specific validation rules.

up · Synchronizing new project or environment preferences across all AI tools (Claude, Codex, Gemini, Cursor) in a single command.

dev · Routing developer tasks to the right specialist agent (debug, review, refactor, commit, PR) without manual agent selection overhead.

wt · Isolating work on individual GitHub issues using git worktrees, avoiding context switching between branches in a single checkout.

bg · Autonomous grinding through a priority-sorted issue queue without pausing between tasks, ideal for high-volume bug triage or feature checklists.

rr · Systematically resolving PR review feedback without missing any comment or thread, ensuring all reviewer notes are addressed before merge.

bx · Quickly capturing ad-hoc tasks as tracked beads before implementing them, ensuring nothing is lost and all work has an audit trail.

sc · Bundling file staging and commit creation into a single operation when no complex git workflow (rebase, cherry-pick) is needed.

ws · Monitoring current project phase and task progress.

wb · Discovering customer needs before building solutions.

mr · Summarizing branch changes for peer review.

po · Managing product backlog and feature documentation.

ts · Switching between compact and full view modes.

app-testing-loop · Continuous testing and validation of features.

review · Finding correctness issues in code diffs.