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Discover, inspect, and invoke thousands of financial capabilities through one MCP interface.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "qveris-agent-toolkit" yet — see the docs or source repo.
Use qveris-agent-toolkit to find financial capabilities suitable for corporate finance analysis. List capability names, input parameters, return fields, and provide an example of how to call them from my AI agent via MCP.
A list of relevant financial capabilities, interface details, and ready-to-adapt MCP call examples.
Using qveris-agent-toolkit, search for capabilities related to equities, foreign exchange, and macroeconomic data. Group them by use case and explain which analysis scenarios each capability fits.
A capability catalog organized by topic, with scenario notes to speed up tool selection.
Design an automated workflow with qveris-agent-toolkit: first discover available company financial and market data capabilities, then call the relevant ones to fetch data, and finally generate an investment research summary with risk alerts.
A step-by-step workflow design including capability selection logic, call sequence, and final output structure.
Enforce configurable QA strategies so AI-generated tests meet strict standards.
Verify AI agents, check verification status, and browse the leaderboard.
Add a fail-closed verification gate before AI agents take action.
Help AI agents register, discover peers, and exchange typed messages.
Test API compatibility for AI agents with scores, grades, and recommendations.
Securely authorize AI agents to sign up for SaaS dev tools within budget limits.