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Calljmp vs Waxell

Unified MCP Server provides tool integrations, but Waxell adds governance, observability and runtime execution features on top of MCP.

Side by side

What it is
Calljmp:Calljmp provides a TypeScript-native, managed backend for building, deploying and scaling AI agents and workflows.
Waxell:Waxell provides observability and governance for AI agents in production, enforcing policies, detecting PII, and controlling costs.
Best for
Calljmp:Code-native AI agent backend
Waxell:Real-time AI agent governance
Who it’s for
Calljmp:SaaS product teams, technical founders, and developer agencies building AI features.
Waxell:Engineering and security teams deploying AI agents at scale
Pricing
Calljmp:Freemium
Waxell:Freemium
Plans
Calljmp:Solo $20 per month · Pro $99 per month
Waxell:Free $0 · Team $49 per month · Business $499 per month
Works with
Calljmp:GraphQL, gRPC, Databases
Waxell:Claude, GPT-4, Gemini, Claude Desktop, Claude Code, Cursor, LangChain, CrewAI
DevHunt upvotes
Calljmp:35
Waxell:1
Launched on DevHunt
Calljmp:Feb 2026
Waxell:Mar 2026

Calljmp features

  • TypeScript-native agents. Write agents and workflows directly in TypeScript with full type safety.
  • Managed execution & scaling. Calljmp handles agent runtime, state, retries, timeouts and HITL without infrastructure.
  • Observability dashboard. Unified traces, logs, metrics and cost tracking for all agents.
  • Zero-config integrations. Connect to REST/GraphQL/gRPC APIs, databases and services as tools without setup.
  • Human-in-the-loop. Add approval flows and manual reviews into any agent workflow.
  • Memory & knowledge store. Persistent context and vector/hybrid search for documents, APIs and datasets.

Waxell features

  • Observe. Captures every LLM call, tool invocation and agent decision with real-time PII redaction and budget enforcement.
  • Connect. Zero-code integration for third-party agents and MCP tools with policy checks and rug-pull detection.
  • Gateway. Single governed endpoint that fingerprints MCP tools, applies policies and audits every tool call.
  • Endpoints. Discovers AI apps on devices via TLS handshake metadata without decrypting traffic.
  • Runtime. Durable managed execution with pause, resume, replay, lineage graph and kill-switches.
  • Auto-instrumentation. 200+ libraries auto-instrumented with OpenTelemetry-native SDK, two-line setup.

Based on each tool's website and DevHunt data. Details may change; check the official sites.