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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.
WaxellThe governance plane for AI agents in productionSide 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.