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Prediction-market research: market reads, news, guided analyses and an analyst.
Veyora is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 97/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Veyora to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add ai.veyora/veyora https://veyora.ai/api/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-13T17:56:15.095525Z",
"publishedAt": "2026-10-13T17:56:15.095525Z",
"statusChangedAt": "2026-10-13T17:56:15.095525Z"
}
},
"server": {
"name": "ai.veyora/veyora",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"tools": [
"get_playbook",
"search_markets",
"browse_markets",
"get_market",
"get_price_history",
"get_order_book",
"get_recent_trades",
"get_related_markets",
"get_news",
"list_tracked_markets",
"get_settled_markets",
"list_analyses",
"list_notebooks",
"run_analysis",
"ask_analyst",
"start_analysis",
"start_question",
"run_analyses_batch",
"wait_for_jobs",
"get_job_result",
"list_jobs",
"cancel_job",
"get_account",
"get_usage_this_month",
"get_credit_history",
"get_plans",
"open_billing"
],
"playbooks": [
"research_market",
"why_did_it_move",
"check_my_thesis",
"calibration_check",
"liquidity_check"
],
"viewTools": [
"show_market",
"show_price_chart",
"show_order_book",
"show_account",
"show_analysis_result"
],
"catalogSha256": "4c80bc44f7c0a7a85d1169f7290dc4a938b0419ecf300316c1a61aab225c4614",
"deploymentTools": {
"export": [
"export_history",
"export_tape"
],
"serverNotebooks": [
"run_notebook",
"start_notebook"
]
}
}
},
"title": "Veyora",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://veyora.ai/api/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"value": "Bearer {access_token}",
"isSecret": true,
"variables": {
"access_token": {
"isSecret": true,
"isRequired": true,
"description": "An access token from Settings → Integrations → Access tokens."
}
},
"description": "Not needed by a client that signs in with OAuth. Otherwise an access token from Settings → Integrations."
}
]
}
],
"version": "0.2.2",
"packages": [
{
"version": "0.2.2",
"transport": {
"type": "stdio"
},
"identifier": "veyora",
"registryType": "npm",
"registryBaseUrl": "https://registry.npmjs.org",
"packageArguments": [
{
"type": "positional",
"value": "mcp"
}
],
"environmentVariables": [
{
"name": "VEYORA_TOKEN",
"isSecret": true,
"description": "An access token from Settings → Integrations. Not needed after `veyora login`, which stores one."
}
]
}
],
"websiteUrl": "https://veyora.ai",
"description": "Prediction-market research: market reads, news, guided analyses and an analyst."
}
}