Metorial vs Cal Mcp

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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Metorial logo
Metorial
metorial
🛠️ Other Tools and Integrations
Cal Mcp logo
Cal Mcp
pwh-pwh
🛠️ Other Tools and Integrations
SummaryConnect AI agents to 600+ integrations with a single interface - OAuth, scaling, and monitoring includedAn MCP server for Mathematical expression calculation
Quality signal45/100 (Fair)37/100 (Emerging)
Install pathpip · highnpx · high
Engagement 0 0 0 3,326 0 0 0 14
ToolsSupports 1200+ SaaS, enterprise, data source, and custom MCP integrationsUnified handling of OAuth, API keys, and service account credentialsBuilt-in RBAC, SAML SSO, and IAM integration for access controlScoped permissions per agent, workflow, team, or environmentAudit logs capturing which agent performed actions with whose credentialsOpen-source platform with SDKs for JavaScript/TypeScript and PythonParses and calculates math expressions from string inputSupports built-in constants: PI, E, true, falseOperates via standard input/output (stdio)Built on FastMCP framework with Bun runtimeUses expr-eval for expression parsing and evaluation
Verified / officialNoNo
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