Mcp Server Research Signals
Scored trend intelligence from HN, Reddit, ArXiv, and GitHub.
â¡ signal-ckpt â Manual Checkpoint
Collapse the session into a â¤50 token state atom. Drop all prior history. Resume from the atom.
Io.Github.SocioLogicAI/Signal Relay
Connect AI agents to SocioLogic's synthetic persona platform for market research.
Hugging Science
Hugging Science is a curated, LLM-friendly index of scientific datasets, models, blog posts, and interactive demos for ML researchers. Use it when a scientific ML question lands in front of you â it's much higher signal than generic search and the entries are pre-filtered for quality and openness.
blog
Full-lifecycle blog engine with 17 commands, 12 content templates, 5-category 100-point scoring, and 4 specialized agents. Optimized for Google rankings (December 2025 Core Update, E-E-A-T) and AI citations (GEO/AEO). Writes, rewrites, analyzes, outlines, audits, and repurposes blog content with answer-first formatting, sourced statistics, Pixabay/Unsplash/Pexels images, AI image generation via Gemini, built-in SVG chart generation, JSON-LD schema generation, and freshness signals. Supports any platform (WordPress, Next.js MDX, Hugo, Ghost, Astro, Jekyll, 11ty, Gatsby, HTML). Use when user says "blog", "write blog", "blog post", "blog strategy", "content brief", "editorial calendar", "analyze blog", "rewrite blog", "update blog", "blog SEO", "blog optimization", "content plan", "blog outline", "seo check", "schema markup", "repurpose", "geo audit", "blog audit", "citation readiness".
Newsletter Commerce Mcp
Extract shoppable product mentions from newsletters with affiliate signals. Free tier 200/day.
FeedOracle Stablecoin Risk
7-signal stablecoin risk scoring. 13 tools, 28+ tokens, SAFE/CAUTION/AVOID verdicts.
Signal Api
Bitcoin 15-min prediction signals with on-chain commitment proofs. L402-gated.
Io.Github.Cyberweasel777/Botindex Mcp Server
DeFi signal intelligence + agent discovery. Funding arb, whale alerts, Zora, compliance.
Podcast Commerce Mcp
Extract product mentions from podcast transcripts with affiliate signals. Free tier 200/day.
Io.Github.Dan24ou Cpu/Agent Signal
Collective intelligence for AI shopping agents — product intel, deals, and more
Recipe Commerce Mcp
Extract shoppable products from recipe content with affiliate network signals. Free tier 200/day.
monitoring-feature-observability
Add or adjust monitoring for a Hypeman feature using repository standards for logs, traces, and metrics. Use when a user asks for instrumentation, observability reviews, telemetry consistency changes, metric design, or production-signal improvements.
beeper
Search and read messages from Beeper Desktop API (WhatsApp, Signal, Telegram, etc.). Triggers: "check my messages", "search messages", "who messaged me", "find conversations", "unread messages", "beeper", "chat history".
Nallely System Prompt for Local LLMs
You are an assistant specialized in Nallely, a modular reactive Python framework for patching signal-processing modules (neurons) together, like a modular synthesizer for control systems. You can interact with a running Nallely session via two WebSocket protocols.
Io.Github.Startvest LLC/Idealift
Manage product ideas, decisions, and customer signals from AI assistants with NLQ
Feedoracle Macro Mcp
Real-time macroeconomic signals for AI agents. 86 FRED series, regime classification, DeFi rates.
Io.Github.Startvest LLC/Idealift Mcp
Pre-backlog idea management with decision tracking, signals, and RICE scoring.
DeepEar Analysis Skill
A skill that performs financial signal analysis using the DeepEar workflow.
wrapup
Wrap up and save the current session summary to the session log. Use at end of session when the user says 'bye', 'wrap up', 'save session', or an end-of-session signal is detected. /wrapup writes to 07-logs/ only. Do NOT use for: promoting insights to memory/ (use recap), synthesizing a topic across sessions (use distill), or teaching a single preference (use learn).
dotnet-advisor
Routes .NET/C# requests to the correct domain skill and loads coding standards as baseline for all code paths. Determines whether the task needs API, UI, testing, devops, tooling, or debugging guidance based on prompt analysis and project signals, then invokes skills in the right order. Always invoked after [skill:using-dotnet] detects .NET intent. Do not use for deep API, UI, testing, devops, tooling, or debugging implementation guidance.
analytics-diagnostic-method
The spine of analytics investigation. Use whenever interpreting analytics numbers, answering "why did X change", reading funnels, comparing cohorts, or presenting findings. Teaches a five-step method (load profile, frame the question, build a MECE hypothesis tree, triangulate, present with Pyramid Principle), how to separate signal from noise, and how to spot Simpson's paradox before it misleads you.
Io.Github.Odds7/Fia Signals Mcp
Crypto market intelligence: regime detection, funding rates, liquidations, prices, signals.
angular-architect
Generates Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance. Use when building Angular 17+ applications with standalone components or signals, setting up NgRx stores, establishing RxJS reactive patterns, performance tuning, or writing Angular tests for enterprise apps.
arc-quick
Lightweight 4-phase pipeline: Plan -> Work+Evaluate -> Review -> Mend. Chains devise --quick -> strive (with evaluator loop) -> appraise -> mend in one command. Work phase iterates up to max_iterations (default 3) with ward checks and quality signal detection between passes. Stagnation detection prevents infinite loops. Mend phase auto-fixes P1/P2 findings from the review TOME. Accepts a prompt string or existing plan file path. Recommends /rune:arc for complex plans (8+ tasks) unless --force is passed. Use when: "quick run", "fast pipeline", "plan and build", "nhanh", "chay nhanh", "quick arc", "simple pipeline", "4 steps", "plan work review mend", "quick", "arc-quick". <example> user: "/rune:arc-quick add a health check endpoint" assistant: "Starting quick pipeline: plan -> work -> review..." </example> <example> user: "/rune:arc-quick plans/my-plan.md" assistant: "Running quick pipeline on existing plan..." </example> <example> user: "/rune:arc-quick plans/complex-plan.md --force" assistant: "Force-running quick pipeline (skipping complexity warning)..." </example>
signalize-decorators
EXPERIMENTAL: @signal and @memo TC39 decorators for class-based reactivity in @spearwolf/signalize. Use with caution - the decorator API may change. Prefer manual signal creation (createSignal, createMemo) for production code.
markstream-angular
Integrate markstream-angular into an Angular app. Use when Codex needs standalone component imports, signal-based examples, CSS wiring, custom HTML tags or customComponents setup, or optional peer integration in an Angular repository.
aTars MCP
Crypto market signals, technical indicators, and sentiment analysis for AI agents.
angular-modern-apis
Guidelines for using modern Angular APIs (signals, inject, control flow)
backlog-rank
Rank open issues by PM criteria, update pinned backlog tracking issue. Queries all open GitHub issues, scores them on strategic value, community signal, feasibility, dependencies, age, and staleness, then maintains a curated "Top 10 Feature Backlog" as a pinned GitHub issue. TRIGGER when: heartbeat (daily 08:00 UTC), or when asked to rank the backlog, prioritize issues, or run backlog ranking.
sessionend
End-of-session ritual that turns sessions into institutional memory via Zengram. Detects repeatable workflows worth capturing as skills AND mistakes/corrections worth capturing as CLAUDE.md rules. Reflects honestly, stores to Zengram, updates local memory, spots workflow patterns, and proposes rule updates. Use when the user types /sessionend, says they're done, wrapping up, signing off, 'that's it for today', 'end session', 'let's wrap up', 'save and close', or any signal that the session is ending. Also triggers on 'session summary', 'what did we do', or 'capture this session'. This is the closing ritual â if a session is ending, start here.
attend
Route upstream epistemic deficits and evaluate execution-time risks during AI operations. Scans for unresolved upstream protocol needs, materializes intent into tasks, classifies each for risk signals, delegates low-risk tasks to executor, and surfaces elevated-risk findings for user judgment. Type: (ExecutionBlind, User, EVALUATE, ExecutionContext) â SituatedExecution. Alias: Prosoche(ÏÏοÏοÏή).
ctf-forensics
Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, Volatility, PCAP, Docker images, coredumps, side-channel power traces, DTMF audio spectrograms, packet timing analysis, CD audio disc images, or recovering deleted files and credentials.
Mcp Server
Financial intelligence: insider trades, SEC filings, 13F holdings, and market signals.
anti-slop-design
Category-aware design skill that builds distinctive, production-grade UIs. Palettes, font pairings, UX patterns, shadcn/token integration, empty-error-loading copy, secondary slop signals, and a pre-ship second pass. Framework-agnostic.
Crypto Signals MCP
Real-time crypto volume anomaly detection across 50+ tokens with pump signals.
Nansen
Blockchain analytics API for AI agents. Smart Money signals, wallet profiling, token analytics.
Meditate
**Quality bar:** A note earns its place by being **high-signal** (Claude would reliably get this wrong without it), **high-frequency** (comes up in most sessions or most tasks of a type), or **high-impact** (getting it wrong causes significant damage or wasted work). Everything else is noise. A lean
Smartmoneyoracle
Whale & Institutional Flow MCP — 8 tools: TVL flows, alpha signals, stablecoin supply.
Web3 Signals
Crypto signal intelligence: 20 assets, 6 dimensions, regime detection, portfolio optimizer
Io.Github.Xodn348/Readhn
AI-native HackerNews MCP Server. Find HN content that matters with explainable quality signals.
Io.Github.MrCartographer/Cartography Mcp Server
Human-curated crypto market intelligence with x402 payments. Weekly signals and analysis.
sixtyfour
People and company intelligence via the Sixtyfour AI API. AI research agents that read the live web â not static databases â to return structured, confidence-scored profiles. Use when you need to: (1) enrich a lead with full profile data (name, title, email, phone, LinkedIn, tech stack, funding, pain points â up to 50 custom fields), (2) research a company (team size, tech stack, funding rounds, hiring signals, key people), (3) find someone's professional or personal email address, (4) find phone numbers, (5) score/qualify leads against custom criteria with reasoning, (6) search for people or companies via natural language query, or (7) run batch enrichment workflows via API. NOT for: general web browsing, tasks unrelated to people/company data, or non-enrichment research.
angular-component
Create modern Angular standalone components following v20+ best practices. Use for building UI components with signal-based inputs/outputs, OnPush change detection, host bindings, content projection, and lifecycle hooks. Triggers on component creation, refactoring class-based inputs to signals, adding host bindings, or implementing accessible interactive components.
alphaear-deepear-lite
Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
angular-db
Angular bindings for TanStack DB. injectLiveQuery inject function with Angular signals (Signal<T>) for all return values. Reactive params pattern ({ params: () => T, query: ({ params, q }) => QueryBuilder }) for dynamic queries. Must be called in injection context. Angular 17+ control flow (@if, @for) and signal inputs supported. Import from @tanstack/angular-db (re-exports all of @tanstack/db).
Curistat Trading Analytics
Futures volatility intelligence: forecasts, regime detection, signals, and analogs for ES/NQ.
btc-bottom-model
Bitcoin bottom-timing judgment model. By tracking 6 core indicators (RSI technical oversold, volume dry-up, MVRV ratio, social media fear index, miner shutdown price, long-term holder behavior), it comprehensively evaluates whether Bitcoin has entered a bottom-fishing zone and outputs a bottom-fishing rating and position-building recommendations. When users mention topics such as Bitcoin bottom-fishing, whether BTC has bottomed out, Bitcoin oversold, MVRV, miner shutdown price, long-term holder LTH, Bitcoin fear index, whether to buy Bitcoin, BTC position entry timing, crypto market bottom signals, Bitcoin cycle bottom, etc., be sure to use this skill. Even if the user simply asks "Can I buy the dip on Bitcoin now?" or "Has BTC finished dropping?", this skill should be triggered to provide a structured analysis framework.
Prediction Market Mcp
Real-time Polymarket and Kalshi data, cross-platform arb detection, strategy signals
Supercolony
Agent swarm intelligence — real-time feed and consensus signals from 140+ AI agents on-chain