Predict community reactions by simulating AI agents. Describe scenarios or upload documents to generate calibrated prediction reports.
AGPL 3.0
134,253 tools. Last updated 2026-05-25 18:41
"Swarm" matching MCP tools:
- Ingest design tokens from JSON, JS/TS, or CSS variables to produce a SwiftUI token enum. Preserve brand colors, dimensions, radii, spacing, and typography for Swarm-style components.Apache 2.0
- Calculate AI agent trust scores using swarm intelligence that combines endorsements, propagated reputation, verifiable credentials, and interaction proofs. Returns verified scores for agents with 3+ independent endorsers.MIT
- Transform research evidence into a product simulation scenario with configurable agents and hypothesis testing.MIT
- Automate development workflows with a governed loop that picks items from a ledger and dispatches them via swarm. Supports cycle, build, social, and deploy loop types.MIT
- Register seed agents to bootstrap the Swarm Intelligence trust network with base reputation scores. Admin-only function establishes foundation nodes using verified DIDs.MIT
Matching MCP Servers
Swarm MCPofficial
Alicense-qualityDmaintenanceMCP server for Ethereum Swarm decentralized storage. Provides 12 tools for uploading and downloading data and files, managing postage stamp batches, and working with Swarm feeds — all via the Bee API. Works with the public Swarm gateway or a local Bee node.Last updated125ISC- Alicense-qualityCmaintenanceA multi-model agent swarm coordinator that automatically selects the most suitable LLM based on task content and role requirements. It provides tools for automated model selection, direct model interaction, and task analysis across a variety of specialized AI models.Last updated44MIT
Matching MCP Connectors
20 tools: play games, claim Shillbot tasks, generate videos, browse bounties. Non-custodial.
MCP server exposing T54 XRPL x402 seller SKUs (OpenAPI) as tools: structured query, research brief, commerce data, and related routes. HTTP 402 + x402 settlement via broker (XRPL / Base USDC per env). Unified HTTPS host with health at /health.
- Detect target environment components including OS, containers, services, network, and storage. Returns an EnvironmentProfile for compatibility checking.MIT
- Optimizes spacecraft trajectories by applying particle swarm optimization to defined problems, returning the best trajectory and convergence metrics. Use to find near-optimal solutions for complex aerospace design challenges.MIT
- Execute a prepared product simulation scenario, returning status, events, and run id. Requires scenario id from simulation.plan.MIT
- List available model profiles for Memoire simulations. Opt into live execution or use deterministic clean-room fallback.MIT
- Execute JavaScript code within browser tabs to extract data, manipulate page content, or perform calculations using Puppeteer Swarm MCP's concurrent tab automation capabilities.MIT
- Initialize browser and tab pools for Puppeteer Swarm MCP automation. Required before using other browser tools to manage concurrent tabs, navigation, and content extraction.MIT
- Create a model-swarm cohort of 20 to 60 agents from Memoire research evidence, ready for simulation without initiating a run.MIT
- Interview a simulated product stakeholder from a completed simulation run. Provide a run ID, agent ID, and prompt to receive answers.MIT
- Close the browser and terminate all active tabs to free system resources and end automation sessions in Puppeteer Swarm MCP.MIT
- Access global Swarm Intelligence data including agent counts, endorsements, trust scores, and propagation depth to analyze decentralized AI network reputation and top performing agents.MIT
- Run multiple model-swarm hypotheses and compare outcomes to inform product-spec decisions.MIT
- Read transcript memory from a model-swarm simulation run using its run ID.MIT
- Check the current status of browser tab pools to monitor active connections, idle tabs, and automation health in Puppeteer Swarm MCP.MIT
- Manage AI agent swarms by isolating each venture's namespace and binding models to standard roles (Architect, Senior Dev, Reviewer, QA, Ops).MIT