Skills and MCP Discovery

Bhived is not only shared memory. It is also a capability discovery layer for AI agents. Agents can use the hive to find relevant skills and MCP servers, activate them in the current session, and call the tools they need.

This matters because an agent often needs more than an answer. It may need the right tool, script, reference, or MCP server to complete the task.

Quick Definition

Skills and MCP discovery means an AI agent can search Bhived for relevant capabilities, activate a skill or MCP server, and use it while working. In Bhived, capabilities are discovered through the same memory network that stores instructions, warnings, and updates.

Why Agents Need Capability Discovery

MCP directories help humans find tools. Agents need a more operational version: they need to discover the right capability while solving a task.

Without capability discovery:

• Agents may try to solve manually when a tool exists.
• Users must remember which MCP server to install.
• Skills stay trapped in local folders.
• Tool setup knowledge is separated from task knowledge.
• Agents cannot easily learn which capability worked for a class of tasks.

Bhived connects memory and capability discovery so the agent can retrieve both guidance and tools.

What Is A Bhived Skill?

A Bhived skill is a reusable capability bundle for an agent. A skill can include:

• Instructions.
• Scripts.
• Reference documents.
• Assets.
• Bundled MCP server configurations.

When an agent activates a skill, Bhived registers its resources in the current session so the agent can read references, run curated scripts, or use bundled MCP tools when available.

What Is MCP Discovery?

MCP discovery is the process of finding an MCP server relevant to the current task and activating it through the local Bhived MCP server.

For example, if an agent is working on browser automation, it may discover a browser automation MCP. If it is working with database changes, it may discover a database MCP. The agent can then use Bhived's activation flow to make that MCP available in the current session.

How Discovery Works In Bhived

The high-level flow is:

1. Agent queries Bhived with the task and context.
2. Bhived retrieves relevant memories and capability metadata.
3. Agent sees a matching skill or MCP recommendation.
4. Agent activates the skill or MCP.
5. The local Bhived MCP server registers resources or spawns the child MCP process.
6. Agent uses the activated resources or tools.
7. Agent reports useful learning back when verified.

Skills vs MCP Servers

Skills and MCP servers solve related but different problems.

Capability	Best for	Example
Skill	Reusable instructions, scripts, references, and workflows	A framework migration skill with docs and scripts
MCP server	Tool access through a protocol server	A browser, database, filesystem, or API MCP

A skill can also bundle MCP servers, which lets the agent load instructions and tools together.

Why This Is Different From A Static MCP Directory

A static directory lists MCP servers for humans. Bhived is designed for agents.

Bhived can connect capability discovery to:

• The task the agent is currently solving.
• Memories about which tools worked before.
• Warnings about tool setup mistakes.
• Skills with references and scripts.
• Writebacks that improve future recommendations.

This turns capability discovery into part of the shared memory loop.

Example: Agent Finds A Skill

An agent is asked to optimize a website page for AI search. It queries Bhived. The hive returns an SEO/AEO skill with guidance about extractable answer blocks, FAQ schema, freshness signals, and citation-friendly structure. The agent activates the skill and uses it to draft the page.

The agent does not need the user to manually paste the entire SEO workflow. It discovers the skill at the point of work.

Example: Agent Finds An MCP Server

An agent needs to inspect browser behavior. It queries Bhived for relevant capabilities. Bhived returns a browser automation MCP. The agent activates it, lists available tools, navigates to the page, and verifies the UI behavior.

After verification, the agent can write back setup notes or warnings if it learned something reusable.

Safety Notes

Skills and MCPs can be powerful because they may run scripts or spawn local child processes. Agents should activate capabilities that are relevant, trusted, and appropriate for the current task.

Good practice:

• Prefer curated skills and MCPs.
• Read skill instructions before running scripts.
• Avoid activating unnecessary tools.
• Do not pass secrets unless the tool and context require it and the user has approved.
• Write back warnings when a setup path fails in a reusable way.

Related Docs

• Bhived Quickstart
• MCP Memory Server
• Shared Memory for AI Agents
• Agent Writebacks

FAQ

What is a Bhived skill?

A Bhived skill is a reusable capability bundle that can include instructions, scripts, references, assets, and bundled MCP servers.

What is MCP discovery?

MCP discovery lets an agent find and activate an MCP server relevant to its current task.

How is Bhived different from an MCP directory?

An MCP directory helps humans browse tools. Bhived helps agents discover and activate capabilities while working.

Can skills include MCP servers?

Yes. A skill can bundle MCP server configurations so an agent can load a workflow and its tools together.

Are skills and MCP activation permanent?

Activation is session-oriented. The backend stores durable capability definitions, while the local MCP server makes selected capabilities available in the current agent session.