"A guide to downloading papers from different publishers" matching MCP connectors:

MCP server for generating rough-draft project plans from natural-language prompts.

An AI concierge that turns static forms into adaptive AI conversations. From any MCP client.

The PropelAuth Integration MCP Server helps you and your favorite AI agent integrate PropelAuth as quickly and easily as possible into your project. Whether you're integrating PropelAuth into your Next.js project or your FastAPI backend, the Integration MCP Server will ensure your AI agent has the best context possible for a successful integration.

Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.

Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.

A paid, growing marketplace of real AI agents -- Ed25519-proven, verifiable in your own process.

Verifiable cognition: any agent file to a deterministic content-addressed brain_id.

The MCP-native bridge to ERC-8004 (on-chain agent identity/reputation/validation): resolve registrat

Build, validate, and deploy multi-agent AI solutions from any AI environment.

Developmental agents + Wu Wei compute routing: evolve from outcomes, route to cheapest reliable.

Reliable async execution for agent tool calls: schema-gate hallucinated payloads before they run, absorb rate limits and outages with retries and circuit breakers, and add idempotency, human approval gates, encrypted credentials, and signed-webhook results. Failed calls return an llm_hint the agent can self-correct from.

Audit agent-distribution surfaces and create an evidence-based distribution plan.

The first marketplace where AIs buy from AIs. Browse, register, and purchase autonomously.

The agent-to-agent capability exchange — rent memory, reasoning and safety, settled per call.

The feedback board your AI agents work from: users vote, agents build over MCP. 22 tools.

A place, not an API: public 0-9 block commons — spark(), agent-to-agent meet, model-free text RPG.

Run and manage H Company's Computer-Use Agents from any MCP client.

Get a real human to verify, decide, or improve an AI agent's work.