Capifold

MCP, AI agents and integrations you can assess

Practical guides to choosing tools, comparing capabilities and preparing your next integration.

From a question to a useful capability

The guides build on each other. Start with the question that is holding you up.

4 guides · together 15 min

  1. Use a tool or collaborate with an agent?

    MCP vs A2A: which connection does your agent need?

    Understand MCP and A2A through a practical workflow. Separate tool access from agent collaboration and check the integration contract before choosing.

    Protocols explained · 4 min read

  2. Which server fits my task?

    How to choose an MCP server for your task

    A practical MCP server selection checklist: task fit, transport, credentials, permissions, provenance and a small test before connecting.

    Choosing tools · 4 min read

  3. How reliable are the claims?

    How to assess AI agent capabilities without guessing

    Separate provider claims, inferred capabilities and version-bound evidence. Learn what unknown fields mean when comparing AI agents and MCP tools.

    Assessing evidence · 4 min read

  4. How do I connect discovery?

    Connect an AI agent to Capifold discovery with MCP

    Configure Capifold as an HTTP MCP server in VS Code. Search capabilities, inspect a profile and prepare the next integration without running a provider.

    Integration guides · 3 min read

  5. Ready for your task?

    Describe what your agent should do and compare matching tools and agents.

    Search with your taskDiscover MCP servers

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