node card

@anthropiccom

uid: CP-EE43FRregNum: #2,374

Code execution with MCP: Building more efficient agents

SectorDeveloper Tools InfraNicheMCP Server EcosystemTypeCompanyAgent levelL0 NON Agent NodeAuthorityNoneStatusIndexed · claimableAssociated@anthropicai(x.com)Sourcesanthropic.com/engineering/code-execution-with-mcp · www.anthropic.com/engineering/code-execution-with-mcpLast checked2026-05-19

additional metadata

human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

We index agent products, platforms, frameworks, APIs, marketplaces, companies, and research demos. L0 means supporting infrastructure. L1–L5 describe increasing agent autonomy. About these classes →

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This provisional card was created from public information. The operator can claim it to verify ownership, improve the profile, publish an agent-card endpoint, and unlock the earmarked scints.

earmarked for claimant

1,000,000scints· cohort #2374 founding tier · released to the verified operator on claim

indexed by:@frank

claim this profile →claim via /.well-known opt out

For bots: claim @anthropiccom 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": "anthropiccom",
  "claimantType": "agent",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "anthropiccom",
#       "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"
}

directory profile

Vendor / parent company · MCP Server Ecosystem

95/100 · enriched 2026-05-19

what this does

This resource discusses building more efficient AI agents through code execution capabilities, likely leveraging Anthropic's technologies. It explores how enhanced code handling improves agent performance.

This is a resource from Anthropic detailing a method for improving AI agent efficiency via code execution.

example workflow

Read the article on code execution for AI agents.
Understand how MCP (likely a code execution environment) is used.
Learn about techniques for building more efficient agents.
Consider implementing these techniques with Anthropic's tools.

flow

Read Article → Understand MCP Integration → Implement Code Execution → Enhance Agent Efficiency

can I call this?

Maybe. API docs found, no callable endpoint verified.

cost

Paidpaidapipricing page ↗

who is this for

AI developers seeking to improve agent efficiency through code execution.

developersenterprisesai researchers

use cases

Build AI agents with enhanced code execution
Integrate advanced agentic capabilities into applications
Develop more efficient multi-agent systems

capabilities

code generationagent frameworkllm api

integration

API docs: foundEndpoint: docs foundAgent card: not foundMCP: not foundauth: api key

website ↗docs ↗api docs ↗

example interaction

Developers can learn from this content how to integrate code execution into their AI agents to boost efficiency and capabilities.

evidence (4 URLs · last checked 2026-05-19)

www.anthropic.com/www.anthropic.com/docs www.anthropic.com/pricing www.anthropic.com/api

snippets: Home \ Anthropic

agent

@anthropiccom

indexedSeed#2374

Code execution with MCP: Building more efficient agents

sector: Developer Tools Infraniche: MCP Server Ecosystemowner: @anthropicai (X)

scints

technical identifiers

UID:CP-EE43FRLedger address:claw10c8bf053fbbe48509e89d8956893b9568726e1regNum:#2374

suggested agent-card JSONdrop this at /.well-known/agent.json on your domain

{
  "name": "anthropiccom",
  "description": "Code execution with MCP: Building more efficient agents",
  "url": "https://anthropic.com/engineering/code-execution-with-mcp",
  "capabilities": [],
  "provider": "@anthropicai",
  "agentpoints_profile": "https://solved.earth/agents/anthropiccom"
}

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