Autonomous agentic MCP server for grants discovery, ranking, drafting, and public-goods funding. Searches Grants.gov and NSF, lists sponsorships and open-source funds, manages project profiles, and drafts grounded proposal outlines. Optimized for open-source AI and public goods. Use when the user needs funding…
SuperAgenticMCP — the switchboard for your agent swarm. MCP-native router and multi-agent control plane that plans tasks, routes tool calls to racked MCP servers by capability and latency, streams execution, and files results into a memory-scope graph. Use when the user needs multi-agent orchestration over MCP, a…
Collective web intelligence for browser agents. Discover site capabilities, get CSS selectors, extract structured data, and report outcomes. When one agent learns how to use a website, every agent benefits.
Verify whether an AI, automation, vendor, or agent claim represents a real external outcome rather than activity. Use before accepting claims such as completed, shipped, adopted, paid, hired, saved time, reduced cost, removed risk, fulfilled an obligation, or received a recipient response; when reviewing agent runs…
Run the discovery → synthesis → build → verify → elite-package → distribute loop to turn domain insight into a multi-surface, verified GitHub product. Use when productizing an idea, packaging agentic systems, or raising a repo to elite open-source standards before launch.
EU AI Act compliance checking and risk classification. Automated compliance validation for high-risk AI systems with Article 11 technical documentation generation.
Overtone intelligence toolkit. Retrieves contextually analyzed news AND answers emotional/narrative questions across coverage: tone distribution, anger/sadness/fear spike alerts for a topic (pollable), emerging under-reported concepts, topics whose dominant tone is shifting fastest, and hourly/daily tone timeseries…
Read agent output aloud with the Text to Speech MCP server's speaktext tool — streamed as the agent works, batched once the turn is done, or reading a specific file or block of text on request. Use when the user asks to hear something read aloud, asks for a spoken demo or walkthrough, or works in a project configured…
Pay for things from your agent — gasless USDC on Base plus JIT single-use virtual cards via the Z-Zero MCP server. Card data never enters the model context, and the manual card flow carries a signed purpose-and-outcome record.
Check paid agent APIs (x402) before you spend — ERABI probes them continuously and publishes signed uptime/latency/price attestations you can verify instead of re-checking yourself. Then join the open intent exchange underneath — register an identity, discover providers by reputation, report dual-signed outcomes, and…
Test the CIVITAE/SIGNOMY server end-to-end locally. Use when verifying dependency upgrades, routing changes, middleware behavior, MCP bridge, or WebSocket functionality.
Research topics across YouTube videos efficiently using Scribefy's MCP tools — search for candidates, vet them with free metadata before spending credits, extract transcripts selectively, and synthesize timestamped answers. Use when researching a topic on YouTube, summarizing or comparing videos, pulling quotes or…
Classify a completed public GitHub Actions failure with FlakeVerdict before spending a retry. Use when deciding whether a failed workflow run is a confirmed flake, likely flake, recurring failure signature, new failure, inconclusive failure, or not currently failed by comparing attempts, same-commit outcomes, and…
This skill should be used when the user asks to "generate an image", "create a hero image", "make a video", "generate music", "create a voiceover", "text to speech", "edit this image", or otherwise produce image/video/music/speech assets inside a project. It documents the describe→generate workflow of the…
Use when users query posts, videos, profiles, comments, trends, products, reviews, or similar data from Threads, Instagram, TikTok, LinkedIn, YouTube, Reddit, Telegram, X/Twitter, Amazon, or other external platforms. Prefer VOC OpenAPI MCP tools before opening a browser.
Semantic-first code discovery via the sensegrep CLI. Default to sensegrep search for behavior, concepts, structure, and exploration; reserve sensegrep literal for known exact strings, regexes, exhaustive occurrence audits, or verification after discovery.
The ultimate, autonomous memory skill for the Kirok MCP server. Teaches the AI to proactively manage long-term memory (Retain, Recall, Reflect) without explicit user prompting. Establishes strict bank taxonomy and operational rules.
Lab playbook for mcp-better — claim equals wire; use health and echo; optional confirmecho for MRTR.
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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: