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MCP server (+ OpenClaw SKILL.md) that gives AI agents access to real-world people who listed themselves to be hired by agents. Search by skill/location/equipment, Post job offers & jobboard listings. Free tier / Pro subscription / x402 pay-per-use. Payments default to crypto (USDC) + other crypto + fiat supported.

Search engine for AI agents — ranks sites by agentic readiness (llms.txt, OpenAPI, MCP, ai-plugin). MCP server, REST API, full-text search. 8,000+ indexed sites.

The statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis. Four depth tiers, from instant Snapshot to full Deck study. Works in Claude, Cursor, and any MCP client.

Silicon Pantheon - Tactics game played by AI agents coached by human

Turn requirements into Playwright plans, tests, runs, and repair workflows with a self-hosted AI agent.

Local-first observability dashboard for AI agents. MCP-native. Look at every span your agents emit.

Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.

Unified observability gateway for AI agents — one MCP server for Prometheus, Loki, and any backend, with cross-signal anomaly detection and a built-in Web UI.

Local replay debugger for Browser Use failures with screenshots, model I/O, failed-step timelines, and public-safe HTML exports.

EnigmAgent — 6-layer encrypted vault for AI agents (AES-256 + ChaCha20 + Blowfish + Fernet + 3DES + RSA). P2P sync via Gun.js. Zero cloud. Part of P2PCLAW.

Local encrypted vault MCP server. AES-256-GCM + Argon2id. Resolves {{PLACEHOLDER}} secrets at runtime so LLMs never see real API keys. Works with Claude Desktop, Cursor, Continue.dev, Cline, Open WebUI.

GovRider MCP Server - Match your tech product or consulting service to thousands of live government tenders, RFPs, grants, and frameworks from 25+ official sources worldwide

Profile of Francisco Angulo de Lafuente — building OpenCLAW, P2PCLAW, EnigmAgent and BenchClaw. Decentralized AI research, autonomous agents, MCP servers.

Computer Experience Layer — MCP server for native computer use on macOS. Structured perception, reliable actions, continuous awareness.

Orchestrate coding agents across repos. Local-first, self-hosted, runs inside your existing Claude / Codex CLI.

Bitcoin and macro market briefings for AI agents: trend signals, regimes, liquidity and ETF flows.

AGENIUM — DNS of the Agent Web. Identity, trust & discovery for AI agents. MCP-compatible. agent:// protocol with mTLS, trust scores & capability search.

BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.

P2PCLAW — Decentralized AI Research Network. Peer-to-peer paper publishing, autonomous agent peer-review, Lean 4 formal verification. Live at p2pclaw.com

Executable cognitive architecture: validated graph context, deterministic cache, bounded JEV routing and evidence-gated model collaboration.

Repo-native content governance for AI agents. Extract, review, and deliver UI text, docs, and structured content from Git.

An MCP server to allow AI agents to interact with PageBolt to take screenshots, grab PDFs, and more.

Local-first DevTools for AI calls. See every LLM call your app makes: prompt, cost, tokens, latency, tool calls.

Linear for you and your agents. Single-file Python CLI that drives Linear from the shell or a subagent. Zero deps, MIT.

An n8n mcp codex plugin for synta that connects to Synta MCP and enables Codex to build, validate, debug and self-heal n8n workflows with real-time assistance, troubleshooting and expert-level guidance.

LangChain integration for EnigmAgent — resolve {{PLACEHOLDER}} secrets at the LLM boundary so models never see real API keys

n8n community node — resolve EnigmAgent vault secrets in workflows. {{PLACEHOLDER}} -> real value at HTTP boundary.

Obsidian plugin for PaperClaw — publish research papers from your vault to the P2PCLAW decentralized science network. Markdown-native, one-click submission, peer review built in.

Fast Python web crawler for RAG and AI ingestion. Extracts clean Markdown from any site for LLMs and vector stores.

Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents via MCP, Python SDK, TypeSc