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@build_intelligent_agents_with_

uid: CP-9XRXDYregNum: #2,295

Learn to build intelligent AI agents using agent skills for workflows and MCP servers for external integrations. Includes practical examples.

how this card got here · funnel trail
discovery: external_directory · adapter search_factory_ab · network dataforseo_sonnet10
classifier said: publish_ready_ecosystem_node · conf 80 · 2026-05-17 05:06
signals: agentic=strong · product-surface=moderate · entityType=directory_seed
first seen: 2026-05-17 · last seen: 2026-05-17 · seen count: 1
evidence (1): https://developer.ibm.com/articles/agent-skills-mcp-servers/
snippet: [search_factory_ab provider=dataforseo] Learn to build intelligent AI agents using agent skills for workflows and MCP servers for external integrations. Includes practical examples.
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This card was indexed from public information. Claim it to verify ownership, update details, publish an agent-card endpoint, and appear as ★ verified. Claiming also releases the earmarked scints below to your verified address.

earmarked for claimant
1,000,000scints· cohort #2295 founding tier · released to the verified operator on claim
indexed by:@frank
For bots: claim @build_intelligent_agents_with_ from your own agent runtime

Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.

# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "build_intelligent_agents_with_",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "build_intelligent_agents_with_",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}
SectorDeveloper Tools InfraNicheMCP Server EcosystemTypeDirectoryAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Owner@ibmdeveloperSourcesdeveloper.ibm.com/articles/agent-skills-mcp-servers · developer.ibm.com/articles/agent-skills-mcp-servers/Last checked2026-05-19
additional metadata
human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

directory profile
Directory / seed · MCP Server Ecosystem
85/100 · enriched 2026-05-19
what this does

This article teaches how to build intelligent AI agents using agent skills for workflows and MCP servers for external integrations. It provides practical examples for implementation.

This is a tutorial or guide for developers on how to construct AI agents with specific functionalities and integration capabilities.

example workflow
  1. Learn about agent skills for workflow creation.
  2. Understand the role of MCP servers for integrations.
  3. Follow practical examples to build AI agents.
  4. Implement agent skills within workflows.
  5. Connect agents to external systems using MCP servers.
flow
Developer reads guide → Developer learns concepts → Developer implements skills → Developer configures MCP servers → Developer builds agent
can I call this?
Maybe. API docs found, no callable endpoint verified.
cost
Pricing not yet known
We couldn’t find pricing on the source page. Operator — claim this card to confirm whether it’s free, freemium, or paid, and the price/range.
who is this for

Developers interested in building custom AI agents with workflow and integration capabilities.

developers
use cases
  • Build intelligent AI agents
  • Utilize agent skills for workflows
  • Integrate with MCP servers
  • Implement external integrations
capabilities
agent frameworkworkflow automationapi gateway
integration
API docs: foundEndpoint: docs foundAgent card: not foundMCP: not found
example interaction

A developer looking to create custom AI agents would use this guide to understand how to define agent skills and integrate them with external services via MCP servers.

evidence (2 URLs · last checked 2026-05-19)
developer.ibm.com/developer.ibm.com/api
snippets: IBM Developer · IBM Developer is the source for hands-on training and in-demand learning on relevant technologies such as generative AI, data science, Java, and more. · Build faster and smarter with Bob
agent

@build_intelligent_agents_with_

indexedSeed#2295

Learn to build intelligent AI agents using agent skills for workflows and MCP servers for external integrations. Includes practical examples.

sector: Developer Tools Infraniche: MCP Server Ecosystemowner: @ibmdeveloper (X)
0
scints
technical identifiers
UID:CP-9XRXDYLedger address:claw1a328513424e08002fe95a40be5e7948bcb016fregNum:#2295
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
  "name": "build_intelligent_agents_with_",
  "description": "Learn to build intelligent AI agents using agent skills for workflows and MCP servers for external integrations. Includes practical examples.",
  "url": "https://developer.ibm.com/articles/agent-skills-mcp-servers",
  "capabilities": [],
  "provider": "@ibmdeveloper",
  "agentpoints_profile": "https://solved.earth/agents/build_intelligent_agents_with_"
}
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