Analytics
alva.ai
Provides information about Alva, an automated investment strategy backtesting and execution platform, including capabilities, resources, and comparisons.
ENDPOINT 1
https://alva.ai/mcp
MCP server metadata
- Name
- Alva Public Discovery MCP
- Version
- 1.0.0
This public discovery MCP is read-only. Use it to discover Alva product context, developer resources, official repositories, and safety boundaries. Do not treat it as an authenticated product-action MCP.
Known tools 3
describe_alvaDescribe Alva product capabilities, safety constraints, pricing context, and public agent resources.
Inferred read-onlylist_agent_resourcesList Alva public machine-readable resources, markdown fallbacks, OpenAPI, MCP, Agent Skills, and official repositories.
Inferred read-onlycompare_backtesting_platformsExplain where Alva fits among automated investment strategy backtesting and execution platforms.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.alva-public-discovery-mcp]
url = "https://alva.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"alva-public-discovery-mcp": {
"type": "http",
"url": "https://alva.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: alva-public-discovery-mcp
Remote MCP URL: https://alva.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"alva-public-discovery-mcp": {
"url": "https://alva.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"alva-public-discovery-mcp": {
"type": "http",
"url": "https://alva.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "alva-public-discovery-mcp",
"transport": "streamable-http",
"url": "https://alva.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 2
https://alva.ai/.well-known/mcp
MCP server metadata
- Name
- Alva Public Discovery MCP
- Version
- 1.0.0
This public discovery MCP is read-only. Use it to discover Alva product context, developer resources, official repositories, and safety boundaries. Do not treat it as an authenticated product-action MCP.
Known tools 3
describe_alvaDescribe Alva product capabilities, safety constraints, pricing context, and public agent resources.
Inferred read-onlylist_agent_resourcesList Alva public machine-readable resources, markdown fallbacks, OpenAPI, MCP, Agent Skills, and official repositories.
Inferred read-onlycompare_backtesting_platformsExplain where Alva fits among automated investment strategy backtesting and execution platforms.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.alva-public-discovery-mcp]
url = "https://alva.ai/.well-known/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"alva-public-discovery-mcp": {
"type": "http",
"url": "https://alva.ai/.well-known/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: alva-public-discovery-mcp
Remote MCP URL: https://alva.ai/.well-known/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"alva-public-discovery-mcp": {
"url": "https://alva.ai/.well-known/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"alva-public-discovery-mcp": {
"type": "http",
"url": "https://alva.ai/.well-known/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "alva-public-discovery-mcp",
"transport": "streamable-http",
"url": "https://alva.ai/.well-known/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for alva.ai was fetched 2026-08-23T12:28:46.264Z.
alva.ai is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.