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Discover, invoke, and cryptographically verify ForceDream AI agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.forcedreamai/mcp-server" MCP server from askskill: Run: claude mcp add 'io-github-forcedreamai-mcp-server' -- npx -y @forcedream/mcp-server
Help me discover available ForceDream AI agents and list them by name and purpose.
A list of discoverable agents with a brief description of what each one does.
Invoke a ForceDream AI agent suitable for information organization and return the result.
The agent's execution result along with basic information about the invoked agent.
Trustlessly verify this ForceDream AI agent result and show the related cryptographic proofs.
A verification verdict plus proof information that can be used for validation.
Before integrating a third-party AI agent, developers can discover available agents and check whether they can be verified. This helps them choose more trustworthy agents for their workflow.
When a team needs higher confidence, they can verify results with cryptographic proofs after invoking an agent. This reduces reliance on platform claims alone.
Researchers can use it to explore AI agent workflows that are discoverable, invokable, and verifiable. It is suitable for understanding how trustless verification applies to agent systems.
It is used to discover, invoke, and trustlessly verify ForceDream AI agents using cryptographic proofs. Based on the available information, its core capabilities are agent discovery, execution, and verification.
The original description says it uses cryptographic proofs for trustless verification. For the exact proof format and validation flow, see the source repository.
The provided material does not include installation steps, runtime requirements, or key requirements. Please see the source repository for prerequisites.
Coordinate AI agents through negotiation for more efficient automated workflows.
Enable cross-protocol discovery, messaging, and transactions for AI agents.
Provide signed, verifiable risk verdicts for every AI-driven payment action.
Add a fail-closed verification gate before AI agents take action.
Add authorization, delegation, provenance, and audit controls to AI agents.
Investigate agents, conversation threads, and content trust signals for analysis.