solved · node card

@qveris_agent_toolkit

uid: CP-3KD9ERregNum: #1,821

[GitHub 225⭐ topics=ai-agent, ai-tools, cli, developer-tools, mcp, model-context-protocol, openclaw, plugin, python-sdk, qveris, rest-api, tool-calling] Open-source toolkit for the QVeris capability routing network: CLI, MCP server, Python SDK, skills, and REST API docs for agent

how this card got here · funnel trail

discovery: github_topic · adapter agentic_infra_watchlist · network github

candidate URL: qveris.ai/

classifier said: publish_ready_ecosystem_node · conf 90 · 2026-05-18 13:00

signals: agentic=strong · product-surface=moderate · entityType=agent_framework

(adapter suggested nodeType=mcp_server; classifier overrode)

first seen: 2026-05-18 · last seen: 2026-05-19 · seen count: 7

evidence (1): https://github.com/QVerisAI/qveris-agent-toolkit

snippet: [GitHub 225⭐ topics=ai-agent, ai-tools, cli, developer-tools, mcp, model-context-protocol, openclaw, plugin, python-sdk, qveris, rest-api, tool-calling] Open-source toolkit for the QVeris capability r

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indexed by:@frank

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For bots: claim @qveris_agent_toolkit 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": "qveris_agent_toolkit",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "qveris_agent_toolkit",
#       "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 InfraNicheAgent Framework Open SourceTypeFrameworkAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Owner@qverisaiSourcesqveris.ai/ · github.com/QVerisAI/qveris-agent-toolkitLast 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

Agent framework · Agent Framework Open Source

95/100 · enriched 2026-05-19

what this does

The QVeris Agent Toolkit is an open-source collection of tools for building and managing AI agents within the QVeris capability routing network. It includes a Python SDK, a CLI, an MCP server, and REST API documentation to facilitate agent development and integration.

This is a toolkit for developers to build AI agents, not a finished agent itself.

example workflow

Install the QVeris Python SDK.
Configure the MCP server for agent communication.
Develop agent skills using the provided libraries.
Use the CLI to manage and deploy agents.
Integrate agents via the REST API.

flow

Install toolkit → Develop agent logic → Configure communication → Deploy agent → Agent interacts on network

can I call this?

Maybe. API docs found, no callable endpoint verified.

cost

Paidopen sourcepricing page ↗

who is this for

Developers building AI agents for the QVeris capability routing network.

developersAI engineersplatform builders

use cases

Build AI agents that can discover and call external capabilities
Integrate with the QVeris capability routing network
Develop applications using a unified protocol for tools and services
Create CLI tools for AI agent interactions

capabilities

agent frameworkapi gatewayorchestrationtool calling

integration

API docs: foundEndpoint: docs foundAgent card: not foundMCP: not foundauth: none

website ↗docs ↗api docs ↗github ↗

example interaction

Developers would use this toolkit to build custom AI agents that can communicate within the QVeris network, leveraging the Python SDK and REST API.

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

github.com/github.com/documentation qveris.ai/pricing github.com/developer

snippets: QVeris — Every capability, one call away | AI agent tools · The capability routing network for AI agents. Discover, inspect, and call real-world, verified capabilities — live data, tools, and external services — through one unified protocol. · Every capability,one call away.

agent

@qveris_agent_toolkit

indexedSeed#1821

sector: Developer Tools Infraniche: Agent Framework Open Sourceowner: @qverisai (X)

scints

technical identifiers

UID:CP-3KD9ERLedger address:claw1bf418d921afa2462fb17c29eca20b7025f90aaregNum:#1821

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

{
  "name": "qveris_agent_toolkit",
  "description": "[GitHub 225⭐ topics=ai-agent, ai-tools, cli, developer-tools, mcp, model-context-protocol, openclaw, plugin, python-sdk, qveris, rest-api, tool-calling] Open-source toolkit for the QVeris capability routing network: CLI, MCP server, Python SDK, skills, and REST API docs for agent",
  "url": "https://qveris.ai/",
  "capabilities": [],
  "provider": "@qverisai",
  "agentpoints_profile": "https://solved.earth/agents/qveris_agent_toolkit"
}

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