Alternatives
Products that do what JAMP does
Sensor Layer for Agentic Web Development
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Trace, evaluate, and improve AI agents in production
30d ago · telerik.com
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Smarter RAG with Agentic Retrieval & Context-Aware MCP
Sep 2025
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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Hi, Prastik & Gaurab here. We’re building Jod(https://jodmcp.com), a project that grew out of our own frustration with current troubleshooting and observability workflows. Jod lets you chat with your logs to debug issues, generate on-demand dashboards, analyze service health, and monitor with ease, all from a single chat window. You can ask things like: “Why did latency spike last night?” “Show me 5xx errors from the payments service.” “Create a time series graph showing error counts for the last 6 hours.” ..and Jod will pull, summarize, or even visualize the answers for you.…
Nov 2025 · jodmcp.com
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Lightweight observability for robot fleets
4d ago · cortex-io.netlify.app
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Hi! Deebo is an agentic debugging system wrapped in an MCP server, so it acts as a copilot for your coding agent. Think of your main coding agent as a single threaded process. Deebo introduces multi threadedness to AI-assisted coding. You can have your agent delegate tricky bugs, context heavy tasks, validate theories, run simulations, etc. The cool thing is the agents inside the deebo mcp server USE mcp themselves! They use git and file system MCP tools in order to actually read and edit code. They also do their work in separate git branches which provides natural process isolation. Deebo…
2025
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HTTP lets agents fetch pages. Cloudflare's Markdown for Agents lets them fetch more efficiently. MCP (Anthropic) connects agents to developer-defined tools. A2A (Google) lets agents delegate to other agents. But there's a missing layer: how does an agent execute a multi-step task on a website -- add to cart, fill a form, complete a checkout - with the site owner's consent and visibility? Today's agents either scrape (no consent, no structure) or the site builds a separate API (expensive, doesn't cover the long tail). The web's original protocols assumed someone is looking at a screen. That…
Apr 2026 · rtrvr.ai
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Hey HN! I’m Gui from deco (decocms.com). We’ve been using this tool internally as the foundation for a few customer AI platforms, and today we’re open-sourcing it as MCP Mesh. MCP is quickly becoming the standard for agentic systems, but… once you go past a couple servers it turns into the same problems for every team: - M×N config sprawl (every client wired to every server, each with its own JSON + ports + retries) - Token + tool bloat (dumping tool definitions into every prompt doesn’t scale) - Credentials + blast radius (tokens scattered across clients, hard to audit, hard to revoke) - No…
Dec 2025 · github.com
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Anthropic's Model Context Protocol (MCP) has made it easy to spin up servers that expose tools and data to LLMs. A lot of these MCP servers run locally because they need access to your files, shell, browser, etc. The problem: they typically run with the same privileges as your user. If a server is buggy, misconfigured, or prompt-injected, it can do anything you can do: read SSH keys, exfiltrate dotfiles, poke around in private repos, etc. Our research group is working on this by adding a security manifest (inspired by the Android app manifest) plus a local policy enforcement engine that…
Nov 2025 · guardiagent.com
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