The operating system for self-organised AI agent teams.
PLEXUS is the intelligence layer between raw data and decisions that matter.
- Data.Fec: Federal Election Commission data — search 500K+ candidates, committees, and contribution records — political donation records, PAC filings, and election spending. ($0.02/call via x402 REST;
- Data.Epa: EPA environmental compliance data — query violations, inspections, emissions, and compliance records for any US facility by name or location. ($0.02/call via x402 REST; free via MCP)
- Data.Osha: OSHA workplace safety data — retrieve inspection records, violations, and penalties for any US employer. ($0.02/call via x402 REST; free via MCP)
AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.
The base layer for AI agents.
- Dedupq Check: Before executing any LLM task, check if an identical or semantically similar task has already been completed. Returns cached result on hit, saving one LLM call. On a miss, execute your t
- Dedupq Complete: After executing a task, store the result so future identical or similar tasks return a cache hit via dedupq_check. Costs 2 credits.
- Burnrate Estimate: Before executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions. If the estimate exceeds your budget, pipe the same pl
Operate the Plixana CRM from any AI: contacts, deals, quotes, WhatsApp and metrics.
European cloud hosting.
Persistent cloud agents and workflows over MCP: create agents, run long-lived tasks, handle human approvals, and build workflows.
- Answer Pending Input: Answer a run that is paused on a human-input request (from list_pending_inputs). For an approval, set approved=true/false. For an input request, set value to the requested text.
- Cancel Run: Stop an in-flight agent run. Cancellation is asynchronous: a successful call returns status "cancelling"; poll get_run_result until the run becomes "cancelled". A run that already finished
- Create Agent: Get or create an agent by name: a persistent cloud environment running plori's agent, with its own disk, tools, and memory. Create one when the work should accumulate somewhere the user
PLOS journals — Solr-backed full-text search across all PLOS OA content
Plott MCP is a remote Model Context Protocol server for UK construction, property and planning teams.
- Get Workspace Profile: Get the authorized Plott workspace, role, plan, and capabilities.
- Get Dashboard State: Get the current user's saved planning-map dashboard state.
- List Workspace Templates: List letter templates available in the authorized workspace.
Japanese holiday and business-day calculations using official Japan Cabinet Office data.
Johnson Bros.
Every figure re-checked against SQL-computed facts; unsupported questions refused with the reason.
Free contractor-license checks from official state records; a no-match never proves unlicensed.
Read-only tools for evaluating a live Plushwipes performance-commission opportunity.
Query cloud, AI and SaaS spend across 25+ providers: costs, budgets, anomalies, unit economics.
Pedagogical chess intelligence for AI agents: explain positions and games for a target Elo.
The home for AI-built projects: visitors, restore, publish with a safety check, data backups.
AI that makes and runs your Google and Facebook ads from your own account, with a CRM behind it.
Plyto is an agentic CRM for small businesses, and this server exposes the whole platform to the AI you already use.
- Memory Save: Save (or update) a durable memory — a standing preference, playbook rule, correction, or business fact that should hold across ALL future conversations. Use when the user says "remember…"
- Memory List: List every durable memory you hold for this business (business-wide plus the current user's personal ones), with ids and when each was last confirmed. Use before consolidating, when the u
- Memory Forget: Permanently delete a saved memory. Destructive — confirm with the user first unless they just explicitly asked you to forget exactly this. Users can also remove memories themselves unde
Search Brazilian government tenders and public procurement (PNCP): find notices and auctions by keyw
Trust & risk checks for Solana trading agents: wallet trust from realized on-chain PnL (not peak scores), token safety, trade cost, funding forensics.
- Check Wallet Trust: Proof of real PnL for a Solana wallet: recomputes REALIZED SOL profit/loss on-chain (not peak scores, which are routinely wrong — 50% of tracked 'smart money' is genuinely losing).
- Check Wallet Forensics: Wallet forensics: trace a Solana wallet's funding ORIGIN and freshness. Complements the trust check — that says 'is this wallet really profitable?', this says 'where did its mo
- Check Trade Cost: Execution cost oracle: what will this trade REALLY cost? Expected slippage for YOUR size in the token's main pool, round-trip cost estimate calibrated with measured real-world execut
Trust checks for Solana trading: realized-PnL wallet trust, token safety, trade cost, forensics.
Give AI agents secure access to your email via private aliases with dedicated mailbox storage.
Pocket Agent (aipocketagent.com) MCP server — read tools for personas, apps, and product info.
Peer-to-peer car rental search — luxury, exotic, and EV vehicles with delivery across the US.
Search and share firsthand reviews of products, APIs, services, places, and organizations.
Search what agents actually experienced with a product, API, service, or place — firsthand observations recorded during real work, rather than what the…
- Find Mcp: Find canonical MCP servers by task, claimed or observed capability, name, source directory, client compatibility, transport, authentication posture, or deployment kind. Results stay compact,
- Inspect Mcp: Inspect one canonical MCP from find_mcp, including distinct upstream claims, deployments, Pod-observed tools, and selected decision-useful GitHub issues. GitHub reports remain separate fr
- Search: Search what people and agents actually experienced with a product, API, service, place, organization, or anything else. Use this before choosing, buying, integrating, visiting, or recommending
Slovenia Open Data (podatki.gov.si) CKAN MCP.
Extract product mentions, sponsors, and trends from podcast transcripts.
- Extract Podcast Products: Extract product and brand mentions from a podcast transcript. Returns structured data including product name, category, confidence score, recommendation strength, and sponsor
- Analyze Episode Sponsors: Identify sponsor segments in a podcast episode and estimate read-through rates. Returns sponsor list, read type (host-read, mid-roll, etc.), call-to-action, and aggregate met
- Track Product Trends: Compare product mentions across multiple podcast episodes to identify rising, stable, and falling product trends. Requires episodes to have been previously extracted (via extract
podcast-parser (CanonCannon) — what gets repeated across 162 tracked podcasts.
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