dcp-ai

About dcp-ai

Accountability protocol for autonomous AI agents on open networks

a2a accountability agent-lifecycle agent-protocol agent-to-agent ai-agents ai-safety audit-log crewai digital-identity

Quick Facts

Stars	21
Forks	0
Language	TypeScript
Category	MCP Server
License	Apache-2.0
Quality Score	37.4/100
Last Updated	2026-05-02
Created	2026-02-02
Platforms	mcp, node
Est. Tokens	~164k

Compatible Skills

These tools work well together with dcp-ai for enhanced workflows:

agentuse — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
KaiyanTool — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
codebuddy — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
squads-cli — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is dcp-ai?

dcp-ai is Accountability protocol for autonomous AI agents on open networks. It is categorized as a MCP Server with 21 GitHub stars.

What programming language is dcp-ai written in?

dcp-ai is primarily written in TypeScript. It covers topics such as a2a, accountability, agent-lifecycle.

How do I install or use dcp-ai?

You can find installation instructions and usage details in the dcp-ai GitHub repository at github.com/dcp-ai-protocol/dcp-ai. The project has 21 stars and 0 forks, indicating an active community.

What license does dcp-ai use?

dcp-ai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

View on GitHub → Browse MCP Server tools